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David Robben
David Robben
KU Leuven, ESAT/PSI
Adresse e-mail validée de kuleuven.be
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ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
4872017
ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI
S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ...
Frontiers in neurology 9, 679, 2018
1632018
Benefits of deep learning for delineation of organs at risk in head and neck cancer
J Van der Veen, S Willems, S Deschuymer, D Robben, W Crijns, F Maes, ...
Radiotherapy and Oncology 138, 68-74, 2019
1052019
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
D Robben, AMM Boers, HA Marquering, LLCM Langezaal, YB Roos, ...
Medical image analysis 59, 101589, 2020
772020
Simultaneous segmentation and anatomical labeling of the cerebral vasculature
D Robben, E Türetken, S Sunaert, V Thijs, G Wilms, P Fua, F Maes, ...
Medical image analysis 32, 201-215, 2016
642016
Variations in the Circle of Willis in a large population sample using 3D TOF angiography: The Tromsø Study
LB Hindenes, AK Håberg, LH Johnsen, EB Mathiesen, D Robben, ...
PLoS One 15 (11), e0241373, 2020
562020
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
MR Hernandez Petzsche, E de la Rosa, U Hanning, R Wiest, ...
Scientific data 9 (1), 762, 2022
532022
Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT
X Tang, E Jafargholi Rangraz, W Coudyzer, J Bertels, D Robben, ...
European journal of nuclear medicine and molecular imaging 47, 2742-2752, 2020
532020
Predicting infarct core from computed tomography perfusion in acute ischemia with machine learning: lessons from the ISLES challenge
A Hakim, S Christensen, S Winzeck, MG Lansberg, MW Parsons, C Lucas, ...
Stroke 52 (7), 2328-2337, 2021
492021
Detection of vertebral fractures in CT using 3D convolutional neural networks
J Nicolaes, S Raeymaeckers, D Robben, G Wilms, D Vandermeulen, ...
Computational Methods and Clinical Applications for Spine Imaging: 6th …, 2020
322020
Optimization with soft dice can lead to a volumetric bias
J Bertels, D Robben, D Vandermeulen, P Suetens
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
312020
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
S Tilborghs, I Dirks, L Fidon, S Willems, T Eelbode, J Bertels, B Ilsen, ...
arXiv preprint arXiv:2007.15546, 2020
272020
A Voxel-wise, cascaded classification approach to ischemic stroke lesion segmentation
D Robben, D Christiaens, JR Rangarajan, J Gelderblom, P Joris, F Maes, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
232016
A reliable and time‐saving semiautomatic spike‐template–based analysis of interictal EEG–f MRI
S Tousseyn, P Dupont, D Robben, K Goffin, S Sunaert, W Van Paesschen
Epilepsia 55 (12), 2048-2058, 2014
232014
Prediction of stroke infarct growth rates by baseline perfusion imaging
A Wouters, D Robben, S Christensen, HA Marquering, YB Roos, ...
Stroke 53 (2), 569-577, 2022
212022
Clinical implementation of DeepVoxNet for auto-delineation of organs at risk in head and neck cancer patients in radiotherapy
S Willems, W Crijns, A La Greca Saint-Esteven, J Van Der Veen, ...
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018
212018
Unsupervised 3d brain anomaly detection
J Simarro Viana, E de la Rosa, T Vande Vyvere, D Robben, DM Sima, ...
International MICCAI Brainlesion Workshop, 133-142, 2020
202020
The role of medical image computing and machine learning in healthcare
F Maes, D Robben, D Vandermeulen, P Suetens
Artificial intelligence in medical imaging: opportunities, applications and …, 2019
202019
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
J Bertels, D Robben, D Vandermeulen, P Suetens
Medical Image Analysis 67, 101833, 2021
192021
Anatomical labeling of the Circle of Willis using maximum a posteriori graph matching
D Robben, S Sunaert, V Thijs, G Wilms, F Maes, P Suetens
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
192013
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