Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence

McKinley, Richard; Wepfer, Rik; Grunder, Lorenz; Aschwanden, Fabian; Fischer, Tim; Friedli, Christoph; Muri, Raphaela; Rummel, Christian; Verma, Rajeev Kumar; Weisstanner, Christian; Wiestler, Benedikt; Berger, Christoph; Eichinger, Paul; Muehlau, Mark; Reyes, Mauricio; Salmen, Anke; Chan, Andrew; Wiest, Roland; Wagner, Franca (2020). Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. NeuroImage: Clinical, 25, p. 102104. Elsevier 10.1016/j.nicl.2019.102104

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Item Type:

 Journal Article (Original Article)

Division/Institute:

 04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research

UniBE Contributor:

 McKinley, Richard Iain, Grunder, Lorenz Nicolas, Friedli, Christoph Daniel, Muri, Raphaela, Rummel, Christian, Verma, Rajeev Kumar, Weisstanner, Christian, Reyes, Mauricio, Salmen, Anke, Chan, Andrew Hao-Kuang, Wiest, Roland Gerhard Rudi, Wagner, Franca

Subjects:

 600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISSN:

 2213-1582

Publisher:

 Elsevier

Language:

 English

Submitter:

 Andrea Stettler

Date Deposited:

 27 Dec 2019 10:20

Last Modified:

 02 Mar 2023 23:32

Publisher DOI:

 10.1016/j.nicl.2019.102104

PubMed ID:

 31927500

BORIS DOI:

 10.7892/boris.137616

URI:

 https://boris.unibe.ch/id/eprint/137616

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