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Medical Image Analysis|October 19, 2020
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertaintyJeroen Bertels, David Robben, Dirk Vandermeulen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Anatomical labeling of the circle of willis using maximum a posteriori graph matchingDavid Robben, Stefan Sunaert, Vincent Thijs, et al.
Acta Neurologica Belgica|May 4, 2018
Smaller caliber of the internal carotid artery in patients with ipsilateral aplasia of the A1 segment of the anterior cerebral artery: a study with CTAKenneth Carels, Sandra A Cornelissen, David Robben, et al.
Epilepsia|November 8, 2014
A reliable and time-saving semiautomatic spike-template-based analysis of interictal EEG-fMRISimon Tousseyn, Patrick Dupont, David Robben, et al.
Medical Image Analysis|August 23, 2021
AIFNet: Automatic vascular function estimation for perfusion analysis using deep learningEzequiel de la Rosa, Diana M Sima, Bjoern Menze, et al.
Plos One|March 30, 2023
Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functionsEzequiel de la Rosa, Diana M Sima, Jan S Kirschke, et al.
Medical Image Analysis|May 1, 2016
Simultaneous segmentation and anatomical labeling of the cerebral vasculatureDavid Robben, Engin Türetken, Stefan Sunaert, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
Simultaneous segmentation and anatomical labeling of the cerebral vasculatureDavid Robben, Engin Türetken, Stefan Sunaert, et al.
Plos One|November 3, 2020
Variations in the Circle of Willis in a large population sample using 3D TOF angiography: The Tromsø StudyLars B Hindenes, Asta K Håberg, Liv Hege Johnsen, et al.
Stroke|May 7, 2021
Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES ChallengeArsany Hakim, Søren Christensen, Stefan Winzeck, et al.
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