| Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network A Prasoon, K Petersen, C Igel, F Lauze, E Dam, M Nielsen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 719 | 2013 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 560 | 2023 |
| Quaternions, interpolation and animation EB Dam, M Koch, M Lillholm Datalogisk Institut, Københavns Universitet, 1998 | 548 | 1998 |
| Front-end vision and multi-scale image analysis: multi-scale computer vision theory and applications, written in mathematica BMH Romeny Springer Science & Business Media, 2008 | 510 | 2008 |
| Should subchondral bone turnover be targeted when treating osteoarthritis? MA Karsdal, DJ Leeming, EB Dam, K Henriksen, P Alexandersen, ... Osteoarthritis and cartilage 16 (6), 638-646, 2008 | 271 | 2008 |
| Segmenting articular cartilage automatically using a voxel classification approach J Folkesson, EB Dam, OF Olsen, PC Pettersen, C Christiansen IEEE transactions on medical imaging 26 (1), 106-115, 2006 | 242 | 2006 |
| The disease modifying osteoarthritis drug (DMOAD): is it in the horizon? P Qvist, AC Bay-Jensen, C Christiansen, EB Dam, P Pastoureau, ... Pharmacological research 58 (1), 1-7, 2008 | 207 | 2008 |
| Which elements are involved in reversible and irreversible cartilage degradation in osteoarthritis? AC Bay-Jensen, S Hoegh-Madsen, E Dam, K Henriksen, ... Rheumatology international 30, 435-442, 2010 | 144 | 2010 |
| Enzyme-linked immunosorbent assay (ELISAs) for metalloproteinase derived type II collagen neoepitope, CIIM—increased serum CIIM in subjects with severe radiographic osteoarthritis AC Bay-Jensen, Q Liu, I Byrjalsen, Y Li, J Wang, C Pedersen, DJ Leeming, ... Clinical biochemistry 44 (5-6), 423-429, 2011 | 139 | 2011 |
| Biochemical markers and the FDA Critical Path: how biomarkers may contribute to the understanding of pathophysiology and provide unique and necessary tools for drug development MA Karsdal, K Henriksen, DJ Leeming, P Mitchell, K Duffin, N Barascuk, ... Biomarkers 14 (3), 181-202, 2009 | 137 | 2009 |
| Identification of progressors in osteoarthritis by combining biochemical and MRI-based markers EB Dam, M Loog, C Christiansen, I Byrjalsen, J Folkesson, M Nielsen, ... Arthritis research & therapy 11, 1-11, 2009 | 129 | 2009 |
| Increased urinary excretion of C-telopeptides of type II collagen (CTX-II) predicts cartilage loss over 21 months by MRI EB Dam, I Byrjalsen, MA Karsdal, P Qvist, C Christiansen Osteoarthritis and Cartilage 17 (3), 384-389, 2009 | 115 | 2009 |
| Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative EB Dam, M Lillholm, J Marques, M Nielsen Journal of Medical imaging 2 (2), 024001-024001, 2015 | 113 | 2015 |
| Segmentation of tumors in magnetic resonance brain images using an interactive multiscale watershed algorithm1 MMJ Letteboer, OF Olsen, EB Dam, PWA Willems, MA Viergever, ... Academic Radiology 11 (10), 1125-1138, 2004 | 85 | 2004 |
| Separation of healthy and early osteoarthritis by automatic quantification of cartilage homogeneity AA Qazi, J Folkesson, PC Pettersen, MA Karsdal, C Christiansen, EB Dam Osteoarthritis and Cartilage 15 (10), 1199-1206, 2007 | 77 | 2007 |
| One network to segment them all: A general, lightweight system for accurate 3d medical image segmentation M Perslev, EB Dam, A Pai, C Igel Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 75 | 2019 |
| Automatic morphometric cartilage quantification in the medial tibial plateau from MRI for osteoarthritis grading EB Dam, J Folkesson, PC Pettersen, C Christiansen Osteoarthritis and Cartilage 15 (7), 808-818, 2007 | 61 | 2007 |
| Automatic segmentation of the articular cartilage in knee mri using a hierarchical multi-class classification scheme J Folkesson, E Dam, O Olsen, P Pettersen, C Christiansen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005, 327-334, 2005 | 61 | 2005 |
| Lung segmentation from chest x-rays using variational data imputation R Selvan, EB Dam, S Rischel, K Sheng, M Nielsen, A Pai ICML Workshop on Learning from Missing Values (Artemiss), 2020 | 45 | 2020 |
| Optimised region of interest selection EB Dam, M Nielsen, A Qazi, M Lillholm, DR Jørgenson US Patent 8,538,102, 2013 | 44 | 2013 |
Mads NielsenProfessor of Computer Science, University of CopenhagenVerified email at diku.edu
