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  • 151. Drazic, Slobodan
    et al.
    Sladoje, Natasa
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lindblad, Joakim
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Estimation of Feret's diameter from pixel coverage representation of a shape2016In: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 80, p. 37-45Article in journal (Refereed)
  • 152.
    Edfeldt, Gabriella
    et al.
    Karolinska Inst, Stockholm, Sweden.
    Lajoie, Julie
    Univ Manitoba, Winnipeg, MB, Canada.
    Röhl, Maria
    Karolinska Inst, Stockholm, Sweden.
    Omollo, Kenneth
    Univ Nairobi, Nairobi, Kenya.
    Wählby, Carolina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Boily-Larouche, Genevieve
    Univ Manitoba, Winnipeg, MB, Canada.
    Kimani, Joshua
    Univ Nairobi, Nairobi, Kenya.
    Fowke, Keith
    Univ Manitoba, Winnipeg, MB, Canada; Univ Nairobi, Nairobi, Kenya.
    Broliden, Kristina
    Karolinska Inst, Stockholm, Sweden.
    Tjernlund, Annelie
    Karolinska Inst, Stockholm, Sweden.
    The Effect of DMPA Use on the Human Cervical Epithelium: Mechanisms Revealed by Image Analysis2018In: AIDS Research and Human Retroviruses, ISSN 0889-2229, E-ISSN 1931-8405, Vol. 34, no S1, p. 310-310Article in journal (Other academic)
  • 153. Edfeldt, Gabriella
    et al.
    Lajoie, Julie
    Röhl, Maria
    Tjernlund, Annelie
    Wählby, Carolina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Omollo, Kenneth Odiwuor
    Boily-Larouche, Genevieve
    Cheruiyot, Julianna
    Kimani, Makubo
    Kimani, Joshua
    Oyugi, Julius
    Fowke, Keith R.
    Broliden, Kristina
    Hormonal contraceptive use affects HIV susceptibility: mechanisms revealed by image analysis2017In: Scandinavian Journal of Immunology, ISSN 0300-9475, E-ISSN 1365-3083, Vol. 86, no 4, p. 281-281Article in journal (Other academic)
  • 154.
    Ekstedt, Erik
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement2018Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    For social robots to move and behave appropriately in dynamic and complex social contexts they need to be flexible in their movement behaviors. The natural complexity of social interaction makes this a difficult property to encode programmatically. Instead of programming these algorithms by hand it could be preferable to have the system learn these behaviors. In this project a framework is created in which an agent, through deep reinforcement learning, can learn how to mimic poses, here defined as the most basic case of social movements. The framework aimed to be as agent agnostic as possible and suitable for both real life robots and virtual agents through an approach called "dancer in the mirror". The framework utilized a learning algorithm called PPO and trained agents, as a proof of concept, on both a virtual environment for the humanoid robot Pepper and for virtual agents in a physics simulation environment. The framework was meant to be a simple starting point that could be extended to incorporate more and more complex tasks. This project shows that this framework was functional for agents to learn to mimic poses on a simplified environment.

  • 155. Ekstig, Kerstin
    et al.
    Kaijser, Sten
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics.
    Kiselman, Christer O.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Lindahl, Lars-Åke
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics.
    Vretblad, Anders
    Sonja Lyttkens: Minnesord2015In: Upsala Nya Tidning, Vol. 125, no 12, p. B13-B13Article in journal (Other (popular science, discussion, etc.))
    Abstract [en]

    Sonja Lyttkens was born in 1919 and died in 2014. She was the second woman to get a PhD in mathematics in Sweden, and the first to become a university lecturer.

  • 156.
    Ekström, Johan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Stadler, Sofia
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Visualisering av elanvändning i kontorsfastigheter: Utveckling, implementering och utvärdering av visualiseringsverktyg för minskad elanvändning2015Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    This thesis examines the effects of electricity visualization in an office building. The subject was investigated through the creation of a web based visualization tool that was made accessible to the about 1500 employees in a large office building. The visualization was available for three weeks. During this period interviews, user studies and observations took place in order to evaluate what, if any, effects the visualization had on the attitudes and behaviors in the office. Electricity use data was collected and analyzed to see if the project had a statistically significant effect on the electricity consumption in the office.

    The results from the interviews and the data analysis indicate that no reduction in electricity consumption took place, and a number of factors that could increase the chances of success were identified. The workstations covered by an electricity meter should correspond to smaller organizational units in order to take advantage of existing group affiliations. Further, communication channels should be effective, so that as many workers as possible could be reached and become interested in the project. Finally, the goals of the project should be aligned with the goals of the workers to encourage behavioral change instead of making energy saving a burden that takes time from ordinary tasks. A slight change in attitude was detected, but this did not result in any change of behavior. One reason for the absence of change in behaviors was the feeling of lack of control over energy use.

  • 157.
    Elfving, Markus
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Althin, Tom
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Prediktiv analys i människans tjänst2019Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Predictive Analysis is a process for extracting information from large amounts of data and using it to make qualified predictions about future results. While previously the lack of available data has been a challenge within the field, big questions today are instead how to use the results, and the way in which these are presented in order for the user to be able to take advantage of the information.

    The purpose of this thesis has been to create hypotheses for how predictive analysis can be used in practical decision-making contexts, whereby the decision- maker is under time pressure, especially with regard to how the result can be visualized. This has been done through a case study at the Uppsala Ambulance Monitoring Center. The method used for the study is called Contextual Design, which has helped create an understanding of the users and the system they work in. Using this understanding, a prototype has been created, which has been tested on the users to see how well they have been able to interpret the information that has been visualized.

    Predictive analysis has proved to be helpful primarily in less urgent cases and to help the decision maker to differentiate matters similar to each other. For visualization of the predictive results, it has been found that these is better shown as a comparison between the user's decision hypothesis and historical decision results rather than only as an absolute value. Furthermore, it has been found that a high degree of transparency in the information on which the results are based is preferable, but that it is important that clear explanations are given for the results shown.

  • 158.
    Elkan, Oscar
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Implementing a Contract Management Tool for Users of an e-Sourcing Platform2015Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    This thesis project was carried out at the IT-company Trade Extensions in Uppsala, Sweden. Trade Extensions mainly work with providing advanced e-sourcing solutions to their customer organizations, which basically means professionally organizing different types of complex tender projects. These services are mainly provided through the company’s web platform TESS (Trade Extensions Sourcing Service). This project is a case study that was done with the purpose of examining the conditions for the company to implement a tool for contract management to their customers. The study was made with two main aspects in focus: Technical conditions and usability. The method used for this project consisted of several steps. First, a theoretical mapping and interpretation of the concept “Contract Lifecycle Management” (CLM) was made. After that, a number of interviews were prepared and conducted with representatives from four customer organizations of Trade Extensions in order to find out what potential end users of a contract management tool would expect in terms of functionality and usability. Business perspectives, such as organizational and juridical aspects, were also considered in order to interpret how they could affect or be affected by an implementation of such a tool. Based on the gathered data from the interviewees, a conceptual proposal on how a contract management tool could be a part of Trade Extensions’ existing services was made, based on both pure mockups, implementations made with existing functionalities at the company's platform and some programming in order to implement new functionality. This conceptual proposal was presented to the interviewees for a final feedback, after which an analysis was made. The conclusion was that a majority of the functionality needed for a proper contract management tool implementation is already existing at the company’s platform. The main challenges for Trade Extensions will be to introduce a constraint-based design that suits a contract management workflow, as well as the implementation of a reliable and robust tool for e-signatures.

  • 159.
    Ellegren, Lovisa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Grönvall, Stina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Effektivt införande av ny teknik i en organisation: En studie om trafikledningen i införandeprocessen av ERTMS i Sverige2016Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The new railway signaling system ERTMS, European Rail Traffic Management System, will be introduced in all the railway tracks in Sweden, due to the Swedish railway legislation. The implementation of ERTMS in Sweden is performed by Trafikverket and two pilot projects have been done. Now the experiences from the traffic managements for these pilot tracks must be preserved.

    The purpose of this master thesis was to identify key aspects to facilitate the implementation of ERTMS for the traffic management in Sweden. The main task was to collect the experiences from the introduction of ERTMS on the pilot tracks from the traffic management in Ånge and Boden. The problems that occurred before, during and after the implementation process of ERTMS on the pilot tracks have been identified and further recommendations have been developed for how these problems can be avoided and managed in the upcoming implementation of the remaining tracks in Sweden.

    The main contribution of the thesis is recommendations to Trafikverket on how to facilitate the ERTMS implementation process for the traffic management. The key recommendations are:

    • That the technology works and that the traffic management has the opportunity to influence the development of new versions of the system.

    • That the traffic management should be informed about the project and involved in the implementation process.

    • That the education and practice for the traffic management in ERTMS will satisfy their need in terms of adapted material and that they have access to an ERTMS simulator.

    If Trafikverket takes into consideration the problems that have occurred and work out solutions for how to manage and avoid them in the upcoming implementation of ERTMS in Sweden, the outcome should be successful.

  • 160. Enge, Martin
    et al.
    Arda, H. Efsun
    Mignardi, Marco
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab. Stanford Univ, Dept Bioengn & Appl Phys, Stanford, CA 94305 USA.
    Beausang, John
    Bottino, Rita
    Kim, Seung K.
    Quake, Stephen R.
    Single-cell analysis of human pancreas reveals transcriptional signatures of aging and somatic mutation patterns2017In: Cell, ISSN 0092-8674, E-ISSN 1097-4172, Vol. 171, no 2, p. 321-330.e14Article in journal (Refereed)
    Abstract [en]

    As organisms age, cells accumulate genetic and epigenetic errors that eventually lead to impaired organ function or catastrophic transformation such as cancer. Because aging reflects a stochastic process of increasing disorder, cells in an organ will be individually affected in different ways, thus rendering bulk analyses of postmitotic adult cells difficult to interpret. Here, we directly measure the effects of aging in human tissue by performing single-cell transcriptome analysis of 2,544 human pancreas cells from eight donors spanning six decades of life. We find that islet endocrine cells from older donors display increased levels of transcriptional noise and potential fate drift. By determining the mutational history of individual cells, we uncover a novel mutational signature in healthy aging endocrine cells. Our results demonstrate the feasibility of using single-cell RNA sequencing (RNA-seq) data from primary cells to derive insights into genetic and transcriptional processes that operate on aging human tissue.

  • 161.
    Engman, Clara
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Skärdin, Linnea
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Ramverk för att motverka algoritmisk snedvridning2019Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    In the use of the third generation Artificial Intelligence (AI) for the development of products and services, there are many hidden risks that may be difficult to detect at an early stage. One of the risks with the use of machine learning algorithms is algorithmic bias which, in simplified terms, means that implicit prejudices and values are comprised in the implementation of AI. A well-known case is Google’s image recognition algorithm, which identified black people as gorillas. The purpose of this master thesis is to create a framework with the aim to minimise the risk of algorithmic bias in AI development projects. To succeed with this task, the project has been divided into three parts. The first part is a literature study of the phenomenon bias, both from a human perspective as well as from an algorithmic bias perspective. The second part is an investigation of existing frameworks and recommendations published by Facebook, Google, AI Sustainability Center and the EU. The third part consists in an empirical contribution in the form of a qualitative interview study which has been used to create and adapt an initial general framework.

    The framework was created using an iterative methodology where two whole iterations were performed. The first version of the framework was created using insights from the literature studies as well as from existing recommendations. To validate the first version, the framework was presented for one of Cybercom’s customers in the private sector, who also got the possibility to ask questions and give feedback regarding the framework. The second version of the framework was created using results from the qualitative interview studies with machine learning experts at Cybercom. As a validation of the applicability of the framework on real projects and customers, a second qualitative interview study was performed together with Sida - one of Cybercom’s customers in the public sector. Since the framework was formed in a circular process, the second version of the framework should not be treated as constant or complete. The interview study at Sida is considered the beginning of a third iteration, which in future studies could be further developed.

  • 162.
    Ericson, Andreas
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Olson, Molle
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    När resenären själv får välja: Lösning för ökat kollektivtrafikresande inom Uppsala län2019Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    This thesis investigates the public transport system in the city of Uppsala in Sweden. This thesis bases itself on the fact that the development of a new ticketing and payment system is about to start. The purpose of the thesis is to help increase the number of journeys travelled with public transport. To achieve this, the goal of the thesis is to present a vision for UL’s new payment and ticketing system with concepts of interaction design in mind whilst investigating whether a simplified system might increase travel with public transport.

    The thesis uses surveys, interviews and usability testing of the present-day system. The opinions can be summarised such that people in general find difficulties in grasping the different fare zones of the public transport system and do therefore experience difficulties in buying the correct ticket for their specific journey. 

    The new ticketing system should consist of a redesigned fare structure, where a complete removal of the fare zones would create perhaps the most intuitive ticketing system. The new ticketing system should also be able to handle contactless payments, easing the burden on bus drivers who will not need to issue tickets to passengers. In general, a downscaling of the current ticketing system is preferable to avoid confusing travellers. It is of the essence to consider the ticketing and payment system as a sociotechnical system since investigating neither technology nor people alone will lead to a successfully implemented system. They need to be investigated jointly.

  • 163.
    Erlandsson, Mikael
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    What's in your mind?: Collegial Verbalisation – An ecological approach to knowledge elicitation2014Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Knowledge elicitation of the work of professional operators, using traditional methods such as concurrent or retrospective verbalization is problematic. Concurrent verbalization distracts the operators from their primary task, and the operators have difficulties in verbalizing about their automated work tasks. Retrospective verbalization on the other hand, suffers from rationalization problems. An operator might give a perfectly good explanation of some action taken and might also be completely confident about truth of the verbalized information, when it in fact is incorrect. To overcome some of these problems, this thesis presents a new complementary verbalization method called Collegial Verbalization (CV).

    The CV-method utilizes the shared knowledge among work colleagues to improve the quality of the resulting information. The method consists roughly of the following steps; (1) Video tape subjects while they are working. (2) Play back interesting events to the subject’s colleagues individually and let them verbalize on the subject’s actions. (3) Compare the colleagues’ verbal reports to each other to find similarities, differences, etc. Throughout my research I have formulated, defined and assessed the new method in detail. The method has been applied to study train drivers, high-speed ferry operators, train traffic dispatchers and the medical staff at intensive care units.

    Comparative studies have shown; (1) that CV-protocols can be used as an independent source of data, (2) that colleagues produce reports with similar characteristics of retrospective verbal reports, (3) that the CV-method can produce more information than retrospective verbalization, because of the advantage of using multiple narrators. When the intention is to gather data as input to design, rather than establishing the original thought processes form the time of the studied events, the CV-method can also produce more reliable information than retrospective verbalization, because of the advantage of using multiple narrators.

    Based on these results, I have concluded that the CV-method has a clear advantage as a complementary information acquisition method, when studying the work of professional operators. The thesis ends with a discussion about several additional possible applications for the CV-method, such as applied team learning or psychological research in the field of decision making.

    List of papers
    1. Augmented reality as a navigation aid for the manoeuvring of High-Speed Crafts
    Open this publication in new window or tab >>Augmented reality as a navigation aid for the manoeuvring of High-Speed Crafts
    2004 (English)In: DESIGN 2004 conference, 2004Conference paper, Published paper (Other academic)
    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:uu:diva-47957 (URN)
    Conference
    Design 2004
    Available from: 2006-11-24 Created: 2006-11-24 Last updated: 2014-05-13
    2. Bridging the gap between analysis and design: Improving existing driver interfaces with tools from the framwork of cognitive work analysis
    Open this publication in new window or tab >>Bridging the gap between analysis and design: Improving existing driver interfaces with tools from the framwork of cognitive work analysis
    2006 (English)In: Cognition, Technology & Work, ISSN 1435-5558, E-ISSN 1435-5566, Vol. 8, no 1, p. 41-49Article in journal (Refereed) Published
    Abstract [en]

    Two studies of train driving are presented, both within the framework of cognitive work analysis. In the first study, the modelling tool abstraction–decomposition space is adapted to routine conditions, making the analysis more representative for normal procedures. A major contribution to these analyses was the use of the method for ‘collegial verbalisation’. One particular advantage with this method over other verbalisation methods is that it supplies the analysts with data that contain much more information, but not at the expense of being more subjective. On the contrary, this method produces think-aloud protocols from video-recordings that do not have to be interpreted by the researcher. From these analyses, it was possible to distinguish information that is an intrinsic part of the train driver task from information that is dependent on the configuration and design of the current support system. The analyses show that the driver works in three rather separate time intervals with a long-range, a short-term and an immediate sense of perspective. The driver switches between these while travelling between two stations. Based on these behaviour-shaping constraints, a prototype of a planning area of a driver interface was developed, making feed-forward planning possible for the driver. Four design iterations were completed, using a user-centred system design (UCSD) approach. Early tests show that the planning area of the interface supports the feed-forward decision strategy used by drivers who prefer an active driving style. However, the driver group also made substantial changes in the design, indicating that UCSD is an efficient tool in order to capture user competencies, and to bridge the gap between analysis and design.

    Keywords
    cognitive work analysis, driver interface, verbal protocols, user centred system design, participatory design, prototyping
    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:uu:diva-78792 (URN)10.1007/s10111-005-0018-4 (DOI)
    Available from: 2006-03-30 Created: 2006-03-30 Last updated: 2017-12-14Bibliographically approved
    3. Collegial verbalisation: a case study on a new method on information acquisition
    Open this publication in new window or tab >>Collegial verbalisation: a case study on a new method on information acquisition
    2007 (English)In: Behaviour & Information Technology, ISSN 0144-929X, Vol. 26, no 6, p. 535-543Article in journal (Refereed) Published
    National Category
    Computer and Information Sciences
    Identifiers
    urn:nbn:se:uu:diva-14902 (URN)10.1080/01449290600801934 (DOI)000250361500009 ()
    Available from: 2008-01-31 Created: 2008-01-31 Last updated: 2018-01-12Bibliographically approved
    4. Verbal reports and domain-specific knowledge: a comparison between collegial and retrospective verbalisation
    Open this publication in new window or tab >>Verbal reports and domain-specific knowledge: a comparison between collegial and retrospective verbalisation
    2013 (English)In: Cognition, Technology & Work, ISSN 1435-5558, E-ISSN 1435-5566, Vol. 15, no 3, p. 239-254Article in journal (Refereed) Published
    Abstract [en]

    One way to investigate and account for the role of experience in dynamic decision-making tasks is to use a knowledge elicitation method, for example verbal protocols. Recently, methods for verbalisation by other subjects have been suggested as a way to elicit more information on thinking. One of these methods is here investigated in a quasi-experimental study on highly experienced and skilled train dispatchers. Collegial verbalisation is based on the procedure of videotaping practitioners while they perform their normal work tasks in their normal work setting. This is followed up by having a close colleague of the practitioner watch the video recordings and verbalise. The general hypothesis that verbal reports based on collegial verbalisations can provide protocol data that are close to the structure and content of verbal reports based on retrospective verbalisations was investigated. From this systematic comparison it is concluded that collegial verbalisations produce verbal protocols that are close to the retrospective verbal protocols on protocol and topic levels, but not on statement level. From this study, we conclude that the collegial protocols can be used as an independent source of data. It seems possible for a colleague to report verbally on a practitioners' observable behaviour in the same way as when the practitioner is doing a retrospective verbalisation and it may also be possible for a colleague to explain some of the non-observable behaviour of the practitioner.

    Place, publisher, year, edition, pages
    Springer London, 2013
    National Category
    Human Computer Interaction
    Research subject
    Human-Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-183343 (URN)10.1007/s10111-012-0223-x (DOI)000322162100001 ()
    Available from: 2012-03-20 Created: 2012-10-24 Last updated: 2018-01-12Bibliographically approved
    5. Collegial verbalisation: The value of verbal reports from colleagues as subjects
    Open this publication in new window or tab >>Collegial verbalisation: The value of verbal reports from colleagues as subjects
    (English)Manuscript (preprint) (Other academic)
    National Category
    Engineering and Technology
    Research subject
    Human-Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-215393 (URN)
    Available from: 2014-01-13 Created: 2014-01-13 Last updated: 2014-05-13
    6. Collegial collaboration for safety: Assessing situation awareness by exploring cognitive strategies
    Open this publication in new window or tab >>Collegial collaboration for safety: Assessing situation awareness by exploring cognitive strategies
    2013 (English)In: Past History and Future Challenges of Human Work Interaction Design (HWID): Generating Cross-domain Knowledge about Connecting Work Analysis and Interaction Design / [ed] Torkil Clemmensen, Bengt Sandblad, Arminda Lopes and Jose Abdelnour- Nocera, 2013, p. 35-40Conference paper, Published paper (Refereed)
    Series
    Workshop Proceedings Series of the INTERACT 2013 Conference
    National Category
    Engineering and Technology
    Research subject
    Human-Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-211403 (URN)978-0-620-58037-3 (ISBN)
    Conference
    Workshop at INTERACT 2013 – 14th IFIP TC13 Conference on Human-Computer Interaction, Cape Town, South Africa, September 2013
    Available from: 2013-11-22 Created: 2013-11-22 Last updated: 2014-05-13Bibliographically approved
    7. Recognizing complexity: A prerequisite for skilled intuitive judgments and dynamic decisions
    Open this publication in new window or tab >>Recognizing complexity: A prerequisite for skilled intuitive judgments and dynamic decisions
    2013 (English)In: SPUDM24: Subjective Probability, Utility, and Decision Making, 2013, p. 194-Conference paper, Oral presentation with published abstract (Refereed)
    National Category
    Psychology (excluding Applied Psychology)
    Research subject
    Human-Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-214492 (URN)
    Conference
    SPUDM24 - Subjective Probability, Utility, and Decision Making Conference (SPUDM); 18-22 August 2013; IESE Business School, Barcelona, Spain
    Available from: 2014-01-08 Created: 2014-01-08 Last updated: 2014-05-13Bibliographically approved
  • 164.
    Erlandsson, Mikael
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Jansson, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Verbal reports and domain-specific knowledge: a comparison between collegial and retrospective verbalisation2013In: Cognition, Technology & Work, ISSN 1435-5558, E-ISSN 1435-5566, Vol. 15, no 3, p. 239-254Article in journal (Refereed)
    Abstract [en]

    One way to investigate and account for the role of experience in dynamic decision-making tasks is to use a knowledge elicitation method, for example verbal protocols. Recently, methods for verbalisation by other subjects have been suggested as a way to elicit more information on thinking. One of these methods is here investigated in a quasi-experimental study on highly experienced and skilled train dispatchers. Collegial verbalisation is based on the procedure of videotaping practitioners while they perform their normal work tasks in their normal work setting. This is followed up by having a close colleague of the practitioner watch the video recordings and verbalise. The general hypothesis that verbal reports based on collegial verbalisations can provide protocol data that are close to the structure and content of verbal reports based on retrospective verbalisations was investigated. From this systematic comparison it is concluded that collegial verbalisations produce verbal protocols that are close to the retrospective verbal protocols on protocol and topic levels, but not on statement level. From this study, we conclude that the collegial protocols can be used as an independent source of data. It seems possible for a colleague to report verbally on a practitioners' observable behaviour in the same way as when the practitioner is doing a retrospective verbalisation and it may also be possible for a colleague to explain some of the non-observable behaviour of the practitioner.

  • 165. Estevez, B.
    et al.
    Pazos, M.
    Franco, J. M.
    Hast, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Recreating with photogrammetric techniques a submerged megalithic landscape: the case of the salas reservoir2015In: 3 Encontro Internacional de Arqueoloxia de Vilalba, 2015, p. 9-16Conference paper (Refereed)
  • 166. Etterlin, P. E.
    et al.
    Ekman, S.
    Strand, Robin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Olstad, K.
    Ley, C. J.
    Osteochondrosis, Synovial Fossae, and Articular Indentations in the Talus and Distal Tibia of Growing Domestic Pigs and Wild Boars2017In: Veterinary pathology, ISSN 0300-9858, E-ISSN 1544-2217, Vol. 54, no 3, p. 445-456Article in journal (Refereed)
  • 167.
    Fakhrzadeh, Azadeh
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Computerized Cell and Tissue Analysis2015Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    The latest advances in digital cameras combined with powerful computer software enable us to store high-quality microscopy images of specimen. Studying hundreds of images manually is very time consuming and has the problem of human subjectivity and inconsistency. Quantitative image analysis is an emerging field and has found its way into analysis of microscopy images for clinical and research purposes. When developing a pipeline, it is important that its components are simple enough to be generalized and have predictive value. This thesis addresses the automation of quantitative analysis of tissue in two different fields: pathology and plant biology.

    Testicular tissue is a complex structure consisting of seminiferous tubules. The epithelial layer of a seminiferous tubule contains cells that differentiate from primitive germ cells to spermatozoa in a number of steps. These steps are combined in 12 stages in the cycle of the seminiferous epithelium in the mink. The society of toxicological pathology recommends classifying the testicular epithelial into different stages when assessing tissue damage to determine if the dynamics in the spermatogenic cycle have been disturbed. This thesis presents two automated methods for fast and robust segmentation of tubules, and an automated method of staging them. For better accuracy and statistical analysis, we proposed to pool stages into 5 groups. This pooling is suggested based on the morphology of tubules. In the 5 stage case, the overall number of correctly classified tubules is 79.6%.

    Contextual information on the localization of fluorescence in microscopy images of plant specimen help us to better understand differentiation and maturation of stem cells into tissues. We propose a pipeline for automated segmentation and classification of the cells in a whole cross-section of Arabidopsis hypocotyl, stem, or root. As proof-of-concept that the classification provides a meaningful basis to group cells for fluorescence characterization, we probed tissues with an antibody specific to xylem vessels in the secondary cell wall. Fluorescence intensity in different classes of cells is measured by the pipeline. The measurement results clearly show that the xylem vessels are the dominant cell type that exhibit a fluorescence signal.

    List of papers
    1. Analyzing Tubular Tissue in Histopathological Thin Sections
    Open this publication in new window or tab >>Analyzing Tubular Tissue in Histopathological Thin Sections
    2012 (English)In: 2012 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING TECHNIQUES AND APPLICATIONS (DICTA), IEEE conference proceedings, 2012, p. 1-6Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    IEEE conference proceedings, 2012
    National Category
    Medical Image Processing
    Identifiers
    urn:nbn:se:uu:diva-188548 (URN)10.1109/DICTA.2012.6411735 (DOI)000316318400071 ()
    Conference
    International Conference on Digital Image Computing Techniques and Applications (DICTA), 3-5 Dec, 2012, Fremantle, AUSTRALIA
    Available from: 2012-12-17 Created: 2012-12-17 Last updated: 2015-06-03Bibliographically approved
    2. Epithelial Cell Segmentation in Histological Images of Testicular Tissue Using Graph-Cut
    Open this publication in new window or tab >>Epithelial Cell Segmentation in Histological Images of Testicular Tissue Using Graph-Cut
    2013 (English)In: Image Analysis and Processing – ICIAP 2013: Part II, 2013, p. 201-208Conference paper, Published paper (Refereed)
    Abstract [en]

    Computerized image processing has provided us with valuable tools for analyzing histology images. However, histology images are complex, and the algorithm which is developed for a data set may not work for a new and unseen data set. The preparation procedure of the tissue before imaging can significantly affect the resulting image. Even for the same staining method, factors like delayed fixation may alter the image quality. In this paper we face the challenging problem of designing a method that works on data sets with strongly varying quality. In environmental research, due to the distance between the site where the wild animals are caught and the laboratory, there is always a delay in fixation. Here we suggest a segmentation method based on the structural information of epithelium cell layer in testicular tissue. The cell nuclei are detected using the fast radial symmetry filter. A graph is constructed on top of the epithelial cells. Graph-cut optimization method is used to cut the links between cells of different tubules. The algorithm is tested on five different groups of animals. Group one is fixed immediately, three groups were left at room temperature for 18, 30 and 42 hours respectively, before fixation. Group five was frozen after 6 hours in room temperature and thawed. The suggested algorithm gives promising results for the whole data set.

    Series
    Lecture Notes in Computer Science, ISSN 0302-9743 ; 8157
    National Category
    Medical Image Processing
    Identifiers
    urn:nbn:se:uu:diva-210299 (URN)10.1007/978-3-642-41184-7_21 (DOI)000329811200021 ()978-3-642-41183-0 (ISBN)978-3-642-41184-7 (ISBN)
    Conference
    17th International Conference on Image Analysis and Processing (ICIAP), Naples, Italy, September 9-13, 2013
    Available from: 2013-11-05 Created: 2013-11-05 Last updated: 2015-06-03Bibliographically approved
    3. Computerized Study of Developmental Stages in Mink Testicular Tissue
    Open this publication in new window or tab >>Computerized Study of Developmental Stages in Mink Testicular Tissue
    Show others...
    (English)Manuscript (preprint) (Other academic)
    National Category
    Medical and Health Sciences
    Identifiers
    urn:nbn:se:uu:diva-252411 (URN)
    Available from: 2015-05-06 Created: 2015-05-06 Last updated: 2015-06-03
    4. Precision automation of cell type classification and sub-cellular fluorescence quantification from laser scanning confocal images
    Open this publication in new window or tab >>Precision automation of cell type classification and sub-cellular fluorescence quantification from laser scanning confocal images
    2016 (English)In: Frontiers in Plant Science, ISSN 1664-462X, E-ISSN 1664-462X, Vol. 7, article id 119Article in journal (Refereed) Published
    Abstract [en]

    While novel whole-plant phenotyping technologies have been successfully implemented into functional genomics and breeding programs, the potential of automated phenotyping with cellular resolution is largely unexploited. Laser scanning confocal microscopy has the potential to close this gap by providing spatially highly resolved images containing anatomic as well as chemical information on a subcellular basis. However, in the absence of automated methods, the assessment of the spatial patterns and abundance of fluorescent markers with subcellular resolution is still largely qualitative and time-consuming. Recent advances in image acquisition and analysis, coupled with improvements in microprocessor performance, have brought such automated methods within reach, so that information from thousands of cells per image for hundreds of images may be derived in an experimentally convenient time-frame. Here, we present a MATLAB-based analytical pipeline to (1) segment radial plant organs into individual cells, (2) classify cells into cell type categories based upon Random Forest classification, (3) divide each cell into sub-regions, and (4) quantify fluorescence intensity to a subcellular degree of precision for a separate fluorescence channel. In this research advance, we demonstrate the precision of this analytical process for the relatively complex tissues of Arabidopsis hypocotyls at various stages of development. High speed and robustness make our approach suitable for phenotyping of large collections of stem-like material and other tissue types.

    Keywords
    automated image analysis; confocal microscopy; Arabidopsis; hypocotyl; automated phenotyping; code:matlab
    National Category
    Plant Biotechnology
    Research subject
    Computerized Image Processing
    Identifiers
    urn:nbn:se:uu:diva-252412 (URN)10.3389/fpls.2016.00119 (DOI)000369802700001 ()
    Funder
    Bio4EnergyVINNOVA
    Available from: 2016-02-09 Created: 2015-05-06 Last updated: 2017-12-04Bibliographically approved
    5. Effect of pre-fixation delay and freezing on mink testicular endpoints for environmental research
    Open this publication in new window or tab >>Effect of pre-fixation delay and freezing on mink testicular endpoints for environmental research
    Show others...
    2015 (English)In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 10, no 5, article id e0125139Article in journal (Refereed) Published
    National Category
    Veterinary Science
    Research subject
    Computerized Image Processing
    Identifiers
    urn:nbn:se:uu:diva-252410 (URN)10.1371/journal.pone.0125139 (DOI)000353887100081 ()25933113 (PubMedID)
    Available from: 2015-05-01 Created: 2015-05-06 Last updated: 2017-12-04Bibliographically approved
  • 168.
    Fakhrzadeh, Azadeh
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Spörndly-Nees, Ellinor
    Swedish University of Agricultural Sciences.
    Holm, Lena
    Swedish University of Agricultural Sciences.
    Luengo Hendriks, Cris L.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Analyzing Tubular Tissue in Histopathological Thin Sections2012In: 2012 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING TECHNIQUES AND APPLICATIONS (DICTA), IEEE conference proceedings, 2012, p. 1-6Conference paper (Refereed)
  • 169.
    Fakhrzadeh, Azadeh
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Spörndly-Nees, Ellinor
    Swedish University of Agricultural Sciences.
    Holm, Lena
    Swedish University of Agricultural Sciences.
    Luengo Hendriks, Cris L.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Automated measurement of epithelial height of testicular tissue2012In: Proceedings of Swedish Society for Image Analysis, SSBA 2012, Stockholm: KTH Royal Institute of Technology, 2012Conference paper (Other academic)
  • 170.
    Fakhrzadeh, Azadeh
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Spörndly-Nees, Ellinor
    Swedish University of Agricultural Sciences.
    Holm, Lena
    Swedish University of Agricultural Sciences.
    Luengo Hendriks, Cris L.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Epithelial Cell Layer Segmentation UsingGraph-cut and Its Application in TesticularTissue2013Conference paper (Refereed)
  • 171.
    Fakhrzadeh, Azadeh
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Spörndly-Nees, Ellinor
    Swedish University of Agricultural Sciences.
    Holm, Lena
    Swedish University of Agricultural Sciences.
    Luengo Hendriks, Cris L.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Epithelial Cell Segmentation in Histological Images of Testicular Tissue Using Graph-Cut2013In: Image Analysis and Processing – ICIAP 2013: Part II, 2013, p. 201-208Conference paper (Refereed)
    Abstract [en]

    Computerized image processing has provided us with valuable tools for analyzing histology images. However, histology images are complex, and the algorithm which is developed for a data set may not work for a new and unseen data set. The preparation procedure of the tissue before imaging can significantly affect the resulting image. Even for the same staining method, factors like delayed fixation may alter the image quality. In this paper we face the challenging problem of designing a method that works on data sets with strongly varying quality. In environmental research, due to the distance between the site where the wild animals are caught and the laboratory, there is always a delay in fixation. Here we suggest a segmentation method based on the structural information of epithelium cell layer in testicular tissue. The cell nuclei are detected using the fast radial symmetry filter. A graph is constructed on top of the epithelial cells. Graph-cut optimization method is used to cut the links between cells of different tubules. The algorithm is tested on five different groups of animals. Group one is fixed immediately, three groups were left at room temperature for 18, 30 and 42 hours respectively, before fixation. Group five was frozen after 6 hours in room temperature and thawed. The suggested algorithm gives promising results for the whole data set.

  • 172. Fath, Aaron J.
    et al.
    Lind, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Bingham, Geoffrey P.
    Perception of time to contact of slow- and fast-moving objects using monocular and binocular motion information2018In: Attention, Perception & Psychophysics, ISSN 1943-3921, E-ISSN 1943-393X, Vol. 80, no 6, p. 1584-1590Article in journal (Refereed)
  • 173.
    Fors, Per
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Industrial Engineering & Management.
    Laaksoharju, Mikael
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    An Intuition-Based Approach to Sustainable ICT: Insights from Eco-Ethica2019In: Tetsugaku Companion to Japanese Ethics and Technology / [ed] Thomas Taro Lennerfors, Kiyoshi Murata, Springer, 2019, p. 181-200Chapter in book (Refereed)
    Abstract [en]

    In this chapter we draw on the Japanese philosopher Tomonobu Imamichi in order to further develop our understanding of the relationship between Information and Communications Technology (ICT) and ecological sustainability. Our main contribution is an intuition-based approach to design for sustainability, which, for instance, means to design ICT products in a way that invokes feelings of wastefulness or misuse if used in an unsustainable manner. In contrast to persuasive approaches – which have mainly focused on raising awareness, nudging decisions, or stimulating positive behavior through gamification – we rely on the human tendency to unconsciously and effortlessly formulate mental heuristics or intuitions, when exposed to consistent feedback. The claim is that people can learn to associate perceptual cues with environmental impact, and by that will be empowered to make more sustainable choices. Based on the implications of Imamichi’s Eco-ethica, we suggest that this approach can be more fruitful for encouraging sustainable choices than both awareness raising and behavior manipulation.

  • 174.
    Frid, Emma
    et al.
    KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design.
    Bresin, Roberto
    KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design.
    Sallnäs Pysander, Eva-Lotta
    KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design.
    Moll, Jonas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    An exploratory study on the effect of auditory feedback on gaze behavior in a virtual throwing task with and without haptic feedback2017In: Proc. 14th Sound and Music Computing Conference, Finland: Aalto University , 2017, p. 242-249Conference paper (Refereed)
  • 175.
    Gao, Alex Yuan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Barendregt, Wolmet
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Personalised human-robot co-adaptation in instructional settings using reinforcement learning2017Conference paper (Other academic)
  • 176.
    Gao, Alex Yuan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Glowacka, Dorota
    Deep gate recurrent neural network2016In: Proc. 8th Asian Conference on Machine Learning, 2016, p. 350-365Conference paper (Refereed)
  • 177.
    Gao, Yuan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Barendregt, Wolmet
    Obaid, Mohammad
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    When robot personalisation does not help: Insights from a robot-supported learning study2018In: Proc. 27th International Symposium on Robot and Human Interactive Communication, IEEE, 2018, p. 705-712Conference paper (Refereed)
  • 178.
    Gao, Yuan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Wallkötter, Sebastian
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Obaid, Mohammad
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Investigating deep learning approaches for human-robot proxemics2018In: Proc. 27th International Symposium on Robot and Human Interactive Communication, IEEE, 2018, p. 1093-1098Conference paper (Refereed)
  • 179. García-Olalla, Oscar
    et al.
    Alegre, Enrique
    Fernández-Robles, Laura
    Malm, Patrik
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Bengtsson, Ewert
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Acrosome integrity assessment of boar spermatozoa images using an early fusion of texture and contour descriptors2015In: Computer Methods and Programs in Biomedicine, ISSN 0169-2607, E-ISSN 1872-7565, Vol. 120, no 1, p. 49-64Article in journal (Refereed)
  • 180.
    Gavrilovic, Milan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Azar, Jimmy
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lindblad, Joakim
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Wählby, Carolina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Bengtsson, Ewert
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Busch, Christer
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular and Morphological Pathology.
    Carlbom, Ingrid
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Blind Color Decomposition of Histological Images2013In: IEEE Transactions on Medical Imaging, ISSN 0278-0062, E-ISSN 1558-254X, Vol. 32, no 6, p. 983-994Article in journal (Refereed)
    Abstract [en]

    Cancer diagnosis is based on visual examination under a microscope of tissue sections from biopsies. But whereas pathologists rely on tissue stains to identify morphological features, automated tissue recognition using color is fraught with problems that stem from image intensity variations due to variations in tissue preparation, variations in spectral signatures of the stained tissue, spectral overlap and spatial aliasing in acquisition, and noise at image acquisition. We present a blind method for color decomposition of histological images. The method decouples intensity from color information and bases the decomposition only on the tissue absorption characteristics of each stain. By modeling the charge-coupled device sensor noise, we improve the method accuracy. We extend current linear decomposition methods to include stained tissues where one spectral signature cannot be separated from all combinations of the other tissues' spectral signatures. We demonstrate both qualitatively and quantitatively that our method results in more accurate decompositions than methods based on non-negative matrix factorization and independent component analysis. The result is one density map for each stained tissue type that classifies portions of pixels into the correct stained tissue allowing accurate identification of morphological features that may be linked to cancer.

  • 181.
    Ghrabeti, Dana
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Visualisering av ägande i startupföretag2018Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Capitalization table (cap table) is a public ledger that tracks the equity ownership of a company’s shareholders. For start-up and non-public companies this information is usually stored in a spreadsheet but even after just a couple of investment rounds the cap table can become highly complex. A factor that further increases the complexity is the need for entrepreneurs and investors to use the data for analysis and calculations for future decision making. The purpose of the thesis has been to create a design hypotheses of a usable graphical user interface that allows shareholders to more clearly understand the ownership situation of the company and future scenario. To answer the research question a user-centered design approach along with a case study was applied. The case study was chosen and performed on a start-up that already offers a web service for better management of corporation documents so that real users could be part of the design process and so that their needs could be analysed. After three iterations, an end result (implemented in AngularJS and TypeScript) was obtained, which can be split into two equal parts. Firstly, a view containing a timeline of the company and its current ownership. The view can also be used to get a snapshot of the company’s ownership in a specific point in time and to simulate how future investment rounds could dilute the current shareholder’s ownership. Secondly, a view where users can simulate future exit scenarios and how much each shareholder will earn in an exit.

  • 182. Gibbs, Anna
    et al.
    Buggert, Marcus
    Edfeldt, Gabriella
    Ranefall, Petter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Introini, Andrea
    Cheuk, Stanley
    Martini, Elisa
    Eidsmo, Liv
    Ball, Terry B.
    Kimani, Joshua
    Kaul, Rupert
    Karlsson, Annika C.
    Wählby, Carolina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Broliden, Kristina
    Tjernlund, Annelie
    Human Immunodeficiency Virus-Infected Women Have High Numbers of CD103-CD8+ T Cells Residing Close to the Basal Membrane of the Ectocervical Epithelium2018In: Journal of Infectious Diseases, ISSN 0022-1899, E-ISSN 1537-6613, Vol. 218, no 3, p. 453-465Article in journal (Refereed)
  • 183. Gibbs, Anna
    et al.
    Buggert, Marcus
    Edfeldt, Gabriella
    Ranefall, Petter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Introini, Andrea
    Cheuk, Stanley
    Martini, Elisa
    Eidsmo, Liv
    Hirbod, Taha
    Ball, Terry B.
    Kimani, Joshua
    Kaul, Rupert
    Karlsson, Annika C.
    Wählby, Carolina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Broliden, Kristina
    Tjernlund, Annelie
    Increased numbers of CD103-CD8+ TRM cells in the cervical mucosa of HIV-infected women2017In: Scandinavian Journal of Immunology, ISSN 0300-9475, E-ISSN 1365-3083, Vol. 86, no 4, p. 288-289Article in journal (Other academic)
  • 184. Gibbs, Anna
    et al.
    Buggert, Marcus
    Ranefall, Petter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Introini, Andrea
    Cheuk, Stanley
    Eidsmo, Liv
    Hirbod, Taha
    Ball, Terry B.
    Kimani, Joshua
    Kaul, Rupert
    Karlsson, Annika C.
    Wählby, Carolina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Broliden, Kristina
    Tjernlund, Annelie
    Analysis of the distribution of CD103 on CD8 T cells in blood and genital mucosa of HIV-infected female sex workers2016In: AIDS Research and Human Retroviruses, ISSN 0889-2229, E-ISSN 1931-8405, Vol. 32, no S1, p. 307-307Article in journal (Refereed)
  • 185.
    Gifford, Aliya
    et al.
    Vanderbilt University Institute of Imaging Science.
    Kullberg, Joel
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Radiology, Oncology and Radiation Science, Radiology.
    Berglund, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Radiology, Oncology and Radiation Science, Radiology.
    Malmberg, Filip
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Coate, Katie C.
    Vanderbilt University School of Medicine.
    Williams, Phillip E.
    Vanderbilt University School of Medicine.
    Cherrington, Alan D.
    Vanderbilt University School of Medicine.
    Avison, Malcolm J.
    Vanderbilt University School of Medicine.
    Welch, E. Brian
    Vanderbilt University School of Medicine.
    Canine body composition quantification using 3 tesla fat–water MRI2014In: Journal of Magnetic Resonance Imaging, ISSN 1053-1807, E-ISSN 1522-2586, Vol. 39, no 2, p. 485-491Article in journal (Refereed)
    Abstract [en]

    Purpose

    To test the hypothesis that a whole-body fat–water MRI (FWMRI) protocol acquired at 3 Tesla combined with semi-automated image analysis techniques enables precise volume and mass quantification of adipose, lean, and bone tissue depots that agree with static scale mass and scale mass changes in the context of a longitudinal study of large-breed dogs placed on an obesogenic high-fat, high-fructose diet.

    Materials and Methods

    Six healthy adult male dogs were scanned twice, at weeks 0 (baseline) and 4, of the dietary regiment. FWMRI-derived volumes of adipose tissue (total, visceral, and subcutaneous), lean tissue, and cortical bone were quantified using a semi-automated approach. Volumes were converted to masses using published tissue densities.

    Results

    FWMRI-derived total mass corresponds with scale mass with a concordance correlation coefficient of 0.931 (95% confidence interval = [0.813, 0.975]), and slope and intercept values of 1.12 and −2.23 kg, respectively. Visceral, subcutaneous and total adipose tissue masses increased significantly from weeks 0 to 4, while neither cortical bone nor lean tissue masses changed significantly. This is evidenced by a mean percent change of 70.2% for visceral, 67.0% for subcutaneous, and 67.1% for total adipose tissue.

    Conclusion

    FWMRI can precisely quantify and map body composition with respect to adipose, lean, and bone tissue depots. The described approach provides a valuable tool to examine the role of distinct tissue depots in an established animal model of human metabolic disease.

  • 186.
    Golay, Diane
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    An invisible burden: An experience-based approach to nurses' daily work life with healthcare information technology2019Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    Information and Communication Technology (ICT) has been an increasingly pervasive component of most workplaces throughout the past half century. In healthcare, the turn to the digital has resulted into the broad implementation of Healthcare Information Technology (HIT). The impacts of ICT on work life have been investigated predominantly through surveys, although some researchers have advocated for the use of a qualitative, experience-based approach. Meanwhile, the existing body of research on the impacts of HIT on clinicians has painted a mixed picture of digitalization. Despite some clear benefits, HIT has indeed been found to have unexpected, unintended adverse consequences for hospital staff. Typical issues include loss in efficiency, extra effort to carry out routine tasks, and the creation of new, HIT-induced work activities. Simultaneously, research outside of the healthcare domain has shown that ICT could require extra effort from some users in order for the sociotechnical system to function properly – extra work often invisible to developers.

    Based on observation, interview and focus group data collected at a large Swedish hospital, this thesis set out to investigate the impact of HIT on hospital nurses from an experience-based perspective, resulting in four main contributions. First, a method supporting experience-based data analysis, the HolisticUX method, is introduced. Second, 13 forms of HIT-induced additional tasks in nurses' workload are identified, five of which are not acknowledged in previous research. Third, task avoidance is identified as a consequence of nurses' increased workload, negatively affecting patient safety, care quality and nurses' professional satisfaction. Finally, four factors are argued to contribute to a suggested invisibility of the HIT-induced time burden in nurses' work life to management and developers: 1) lack of a holistic perspective, 2) the hidden cost of a single click, 3) the invisibility of nursing work, and 4) visible data, invisible work.

    List of papers
    1. The impact of information and communication technology on work, workers, and the psychosocial work context: Research trends from 2000–2017
    Open this publication in new window or tab >>The impact of information and communication technology on work, workers, and the psychosocial work context: Research trends from 2000–2017
    2019 (English)In: Article in journal (Other academic) Submitted
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-381428 (URN)
    Available from: 2019-04-09 Created: 2019-04-09 Last updated: 2019-04-09Bibliographically approved
    2. Analyzing work-related technology use from a UX perspective: the holisticUX method
    Open this publication in new window or tab >>Analyzing work-related technology use from a UX perspective: the holisticUX method
    2018 (English)In: Proc. 10th Nordic Conference on Human-Computer Interaction, New York: ACM Press, 2018, p. 711-715Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    New York: ACM Press, 2018
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-363980 (URN)10.1145/3240167.3240244 (DOI)000455775700067 ()978-1-4503-6437-9 (ISBN)
    Conference
    NordiCHI 2018, September 29 – October 3, Oslo, Norway
    Funder
    Forte, Swedish Research Council for Health, Working Life and Welfare, 2016-07153
    Available from: 2018-09-29 Created: 2018-10-22 Last updated: 2019-04-09Bibliographically approved
    3. More work, same hours: Invisible HIT-induced tasks in nurses' everyday work
    Open this publication in new window or tab >>More work, same hours: Invisible HIT-induced tasks in nurses' everyday work
    2019 (English)In: Article in journal (Other academic) Submitted
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-381431 (URN)
    Available from: 2019-04-09 Created: 2019-04-09 Last updated: 2019-04-09Bibliographically approved
  • 187.
    Golay, Diane
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Analyzing work-related technology use from a UX perspective: the holisticUX method2018In: Proc. 10th Nordic Conference on Human-Computer Interaction, New York: ACM Press, 2018, p. 711-715Conference paper (Refereed)
  • 188.
    Golay, Diane
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    More work, same hours: Invisible HIT-induced tasks in nurses' everyday work2019In: Article in journal (Other academic)
  • 189.
    Golay, Diane
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Löscher, Ida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lind, Thomas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    The impact of information and communication technology on work, workers, and the psychosocial work context: Research trends from 2000–20172019In: Article in journal (Other academic)
  • 190.
    Golightly, David
    et al.
    University of Nottingham, Faculty of Engineering.
    Sandblad, Bengt
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Dadashi, Nastaran
    University of Nottingham, Faculty of Engineering.
    Andersson, Arne W.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Tschirner, Simon
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Sharples, Sarah
    University of Nottingham, Faculty of Engineering.
    A socio-technical comparison of rail traffic control between GB and Sweden2013In: Rail Human Factors: Supporting reliability, safety and cost reduction, London: Taylor & Francis, 2013, p. 367-376Conference paper (Refereed)
    Abstract [en]

    There is strong motivation for having rail technology that is both international and interoperable. The practice, however, of moving technology that works well in one operational setting to another is not straightforward. This paper takes one type of technology, traffic control automation, and looks at variability between two contexts – GB and Sweden. The output from this work is a socio-technical framework which will be used to asses the viability of applying new advances in traffic management across a number of EU countries.

  • 191. Gonzalez-Castro, Victor
    et al.
    Debayle, Johan
    Curic, Vladimir
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Pixel Classification Using General Adaptive Neighborhood-Based Features2014In: Proceedings 22nd International Conference on Pattern Recognition (ICPR) 2014, 2014, p. 3750-3755Conference paper (Refereed)
    Abstract [en]

    This paper introduces a new descriptor for characterizing and classifying the pixels of texture images by means of General Adaptive Neighborhoods (GANs). The GAN of a pixel is a spatial region surrounding it and fitting its local image structure. The features describing each pixel are then region-based and intensity-based measurements of its corresponding GAN. In addition, these features are combined with the gray-level values of adaptive mathematical morphology operators using GANs as structuring elements. The classification of each pixel of images belonging to five different textures of the VisTex database has been carried out to test the performance of this descriptor. For the sake of comparison, other adaptive neighborhoods introduced in the literature have also been used to extract these features from: the Morphological Amoebas (MA), adaptive geodesic neighborhoods (AGN) and salience adaptive structuring elements (SASE). Experimental results show that the GAN-based method outperforms the others for the performed classification task, achieving an overall accuracy of 97.25% in the five-way classifications, and area under curve values close to 1 in all the five "one class vs. all classes" binary classification problems.

  • 192.
    Granlund, Isabelle
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
    Vriend, Sita Aukje
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
    Benz, Julia
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
    Azizah, Roisatul
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
    Laaksoharju, Mikael
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Obaid, Mohammad
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    A user-centered storytelling approach to design a language companion robotic agent2018In: Proc. 6th International Conference on Human-Agent Interaction, New York: ACM Press, 2018, p. 29-35Conference paper (Refereed)
  • 193.
    Gupta, Anindya
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Harrison, Philip J.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Wieslander, Håkan
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Pielawski, Nicolas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Kartasalo, Kimmo
    Partel, Gabriele
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Solorzano, Leslie
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Suveer, Amit
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Klemm, Anna H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Spjuth, Ola
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Sintorn, Ida-Maria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Wählby, Carolina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Deep Learning in Image Cytometry: A Review2019In: Cytometry Part A, ISSN 1552-4922, E-ISSN 1552-4930, Vol. 95, no 6, p. 366-380Article, review/survey (Refereed)
  • 194.
    Gupta, Anindya
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Saar, Tonis
    Martens, Olev
    Le Moullec, Yannick
    Automatic detection of multisize pulmonary nodules in CT images: Large-scale validation of the false-positive reduction step2018In: Medical physics (Lancaster), ISSN 0094-2405, Vol. 45, no 3, p. 1135-1149Article in journal (Refereed)
  • 195.
    Gupta, Anindya
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Suveer, Amit
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Bajic, Buda
    Faculty of Technical Sciences, University of Novi Sad, Serbia.
    Pepic, Ivana
    Faculty of Technical Sciences, University of Novi Sad, Serbia.
    Lindblad, Joakim
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Sladoje, Natasa
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Sintorn, Ida-Maria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Denoising of Short Exposure Transmission Electron Microscopy Images using CNN2018In: Swedish Symposium on Image Analysis, 2018Conference paper (Other academic)
  • 196. Gupta, Anindya
    et al.
    Suveer, Amit
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lindblad, Joakim
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Dragomir, Anca
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Clinical and experimental pathology.
    Sintorn, Ida-Maria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Sladoje, Natasa
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    False positive reduction of cilia detected in low resolution TEM images using a convolutional neural network2017In: Swedish Symposium on Image Analysis, Swedish Society for Automated Image Analysis , 2017Conference paper (Other academic)
  • 197.
    Gupta, Anindya
    et al.
    Tallinn Univ Technol, TJ Seebeck Dept Elect, Tallinn, Estonia.
    Suveer, Amit
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lindblad, Joakim
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Serbian Acad Arts & Sci, Math Inst, Belgrade, Serbia.
    Dragomir, Anca
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Clinical and experimental pathology.
    Sintorn, Ida-Maria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Vironova AB, Stockholm, Sweden.
    Sladoje, Nataša
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Serbian Acad Arts & Sci, Math Inst, Belgrade, Serbia.
    Convolutional neural networks for false positive reduction of automatically detected cilia in low magnification TEM images2017In: Image Analysis: Part I, Springer, 2017, p. 407-418Conference paper (Refereed)
    Abstract [en]

    Automated detection of cilia in low magnification transmission electron microscopy images is a central task in the quest to relieve the pathologists in the manual, time consuming and subjective diagnostic procedure. However, automation of the process, specifically in low magnification, is challenging due to the similar characteristics of non-cilia candidates. In this paper, a convolutional neural network classifier is proposed to further reduce the false positives detected by a previously presented template matching method. Adding the proposed convolutional neural network increases the area under Precision-Recall curve from 0.42 to 0.71, and significantly reduces the number of false positive objects.

  • 198. Haake, Magnus
    et al.
    Axelsson, Anton
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Clausen-Bruun, Mette
    Gulz, Agneta
    Scaffolding mentalizing via a play-&-learn game for preschoolers2015In: Computers and education, ISSN 0360-1315, E-ISSN 1873-782X, Vol. 90, p. 13-23Article in journal (Refereed)
  • 199. Hall, Hardy C.
    et al.
    Fakhrzadeh, Azadeh
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Luengo Hendriks, Cris L.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Fischer, Urs
    Precision automation of cell type classification and sub-cellular fluorescence quantification from laser scanning confocal images2016In: Frontiers in Plant Science, ISSN 1664-462X, E-ISSN 1664-462X, Vol. 7, article id 119Article in journal (Refereed)
    Abstract [en]

    While novel whole-plant phenotyping technologies have been successfully implemented into functional genomics and breeding programs, the potential of automated phenotyping with cellular resolution is largely unexploited. Laser scanning confocal microscopy has the potential to close this gap by providing spatially highly resolved images containing anatomic as well as chemical information on a subcellular basis. However, in the absence of automated methods, the assessment of the spatial patterns and abundance of fluorescent markers with subcellular resolution is still largely qualitative and time-consuming. Recent advances in image acquisition and analysis, coupled with improvements in microprocessor performance, have brought such automated methods within reach, so that information from thousands of cells per image for hundreds of images may be derived in an experimentally convenient time-frame. Here, we present a MATLAB-based analytical pipeline to (1) segment radial plant organs into individual cells, (2) classify cells into cell type categories based upon Random Forest classification, (3) divide each cell into sub-regions, and (4) quantify fluorescence intensity to a subcellular degree of precision for a separate fluorescence channel. In this research advance, we demonstrate the precision of this analytical process for the relatively complex tissues of Arabidopsis hypocotyls at various stages of development. High speed and robustness make our approach suitable for phenotyping of large collections of stem-like material and other tissue types.

  • 200.
    Hall, Håkan
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry, Preclinical PET Platform.
    Takahashi, Kayo
    Center for Molecular Imaging Science, Kobe, Japan.
    Erlandsson, Maria
    Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - BMC.
    Estrada, Sergio
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry, Preclinical PET Platform.
    Razifar, Pasha
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Bergström, Elisabeth
    Uppsala Imanet, Uppsala, Sweden.
    Långström, Bengt
    Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - BMC, Physical Organic Chemistry.
    Pharmacological characterization of 18F-labeled vorozole analogs2012In: Journal of labelled compounds & radiopharmaceuticals, ISSN 0362-4803, E-ISSN 1099-1344, Vol. 55, no 14, p. 484-490Article in journal (Refereed)
    Abstract [en]

    Two F-18-labeled analogs of vorozole ([F-18]FVOZ and [F-18]FVOO) have been developed as potential tools for the in vivo characterization of aromatase. The pharmacologicalproperties of these radioligands were evaluated using in vitro binding and in vivo distribution studies in the rat and primate. Saturation binding studies using rat ovary gave K-D and B-max values of 0.21 +/- 0.1 nM and 210 +/- 20 fmol/mg, respectively, for [F-18]FVOZ, and 7.6 +/- 1nMand 293 +/- 12fmol/mg, respectively, for [F-18]FVOO. Organ distribution studies in rats showed the highest accumulation in the adrenal glands, with standardized uptake values (SUVs) of 15 to 20, followed by ovaries and liver with SUVs of approximately 5. Ex vivo and in vitro autoradiography of the rat brain showed specific binding of both [F-18]FVOZ and [F-18]FVOO mainly in the amygdala. Positron emission tomography (PET) studies were performed in the Rhesus monkey, and these showed displaceable binding in the amygdala and the hypothalamus preoptic area. The PET images were also analyzed using masked volume-wise principal component analysis. These studies suggest that [F-18]FVOZ might be a suitable tracer for the study of aromatase in vitro and in vivo, and could be an alternative to [C-11]vorozole in human PET studies.

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