| Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research AIR Maas, DK Menon, PD Adelson, N Andelic, MJ Bell, A Belli, P Bragge, ... The Lancet Neurology 16 (12), 987-1048, 2017 | 2581 | 2017 |
| Collaborative European neurotrauma effectiveness research in traumatic brain injury (CENTER-TBI): a prospective longitudinal observational study AIR Maas, DK Menon, EW Steyerberg, G Citerio, F Lecky, GT Manley, ... Neurosurgery 76 (1), 67-80, 2015 | 564 | 2015 |
| Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ... IEEE transactions on medical imaging 30 (11), 1901-1920, 2011 | 528 | 2011 |
| Longitudinal multiple sclerosis lesion segmentation: resource and challenge A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ... NeuroImage 148, 77-102, 2017 | 371 | 2017 |
| Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images S Jain, DM Sima, A Ribbens, M Cambron, A Maertens, W Van Hecke, ... NeuroImage: Clinical 8, 367-375, 2015 | 263 | 2015 |
| SHREC’11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes Z Lian, A Godil, B Bustos, M Daoudi, J Hermans, S Kawamura, Y Kurita, ... doi 10, 079-088, 2011 | 262* | 2011 |
| A comparison of methods for non-rigid 3D shape retrieval Z Lian, A Godil, B Bustos, M Daoudi, J Hermans, S Kawamura, Y Kurita, ... Pattern Recognition 46 (1), 449-461, 2013 | 217 | 2013 |
| SHREC 2011: robust feature detection and description benchmark E Boyer, AM Bronstein, MM Bronstein, B Bustos, T Darom, R Horaud, ... Arxiv preprint arXiv:1102.4258, 2011 | 212 | 2011 |
| SHREC'10 Track: Non-rigid 3D Shape Retrieval. Z Lian, A Godil, T Fabry, T Furuya, J Hermans, R Ohbuchi, C Shu, ... 3DOR@ Eurographics, 101-108, 2010 | 201 | 2010 |
| meshSIFT: Local surface features for 3D face recognition under expression variations and partial data D Smeets, J Keustermans, D Vandermeulen, P Suetens Computer Vision and Image Understanding 117 (2), 158-169, 2013 | 190 | 2013 |
| Semi-automatic level set segmentation of liver tumors combining a spiral-scanning technique with supervised fuzzy pixel classification D Smeets, D Loeckx, B Stijnen, B De Dobbelaer, D Vandermeulen, ... Medical image analysis 14 (1), 13-20, 2010 | 164 | 2010 |
| Feature detection on 3D face surfaces for pose normalisation and recognition C Maes, T Fabry, J Keustermans, D Smeets, P Suetens, D Vandermeulen 2010 Fourth IEEE International Conference on Biometrics: Theory …, 2010 | 146 | 2010 |
| Variation in monitoring and treatment policies for intracranial hypertension in traumatic brain injury: a survey in 66 neurotrauma centers participating in the CENTER-TBI study MC Cnossen, JA Huijben, M Van der Jagt, V Volovici, T Van Essen, ... Critical Care 21, 1-12, 2017 | 137 | 2017 |
| Objective 3D face recognition: Evolution, approaches and challenges D Smeets, P Claes, D Vandermeulen, JG Clement Forensic science international 201 (1-3), 125-132, 2010 | 136 | 2010 |
| A comparative study of 3-D face recognition under expression variations D Smeets, P Claes, J Hermans, D Vandermeulen, P Suetens IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2011 | 86 | 2011 |
| Variation in structure and process of care in traumatic brain injury: provider profiles of European neurotrauma centers participating in the CENTER-TBI study MC Cnossen, S Polinder, HF Lingsma, AIR Maas, D Menon, ... Plos one 11 (8), e0161367, 2016 | 82 | 2016 |
| Reliable measurements of brain atrophy in individual patients with multiple sclerosis D Smeets, A Ribbens, DM Sima, M Cambron, D Horakova, S Jain, ... Brain and behavior 6 (9), e00518, 2016 | 78 | 2016 |
| Processing of structural neuroimaging data in young children: Bridging the gap between current practice and state-of-the-art methods T Vân Phan, D Smeets, JB Talcott, M Vandermosten Developmental cognitive neuroscience 33, 206-223, 2018 | 70 | 2018 |
| Isometric deformation modelling for object recognition D Smeets, T Fabry, J Hermans, D Vandermeulen, P Suetens Computer Analysis of Images and Patterns, 757-765, 2009 | 70 | 2009 |
| Measurement of whole-brain and gray matter atrophy in multiple sclerosis: assessment with MR imaging L Storelli, MA Rocca, E Pagani, W Van Hecke, MA Horsfield, ... Radiology 288 (2), 554-564, 2018 | 68 | 2018 |
Paul Suetensprof. em. KU Leuven ESAT/PSIایمیل تأیید شده در esat.kuleuven.be