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Deep Learning to Predict Outcome in Severe Traumatic Brain Injury
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology. Ctr Imagerie Med Cornavin, Pl Cornavin 18, CH-1201 Geneva, Switzerland.;Univ Geneva, Fac Med, Geneva, Switzerland.;Capital Med Univ, Dept Radiol, Beijing Tiantan Hosp, Beijing, Peoples R China..ORCID iD: 0000-0001-7433-0203
2022 (English)In: Radiology, ISSN 0033-8419, E-ISSN 1527-1315, Vol. 304, no 2, p. 395-396Article in journal, Editorial material (Other academic) Published
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Radiological Society of North America (RSNA) , 2022. Vol. 304, no 2, p. 395-396
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Radiology, Nuclear Medicine and Medical Imaging
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URN: urn:nbn:se:uu:diva-482699DOI: 10.1148/radiol.220412ISI: 000835989400023PubMedID: 35471115OAI: oai:DiVA.org:uu-482699DiVA, id: diva2:1691260
Available from: 2022-08-29 Created: 2022-08-29 Last updated: 2022-08-29Bibliographically approved

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Haller, Sven

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