A deep metric for multimodal registration M Simonovsky, B Gutiérrez-Becker, D Mateus, N Navab, N Komodakis Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 278 | 2016 |
Human skeleton tracking from depth data using geodesic distances and optical flow LA Schwarz, A Mkhitaryan, D Mateus, N Navab Image and Vision Computing 30 (3), 217-226, 2012 | 267 | 2012 |
Articulated shape matching using laplacian eigenfunctions and unsupervised point registration D Mateus, R Horaud, D Knossow, F Cuzzolin, E Boyer 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 248 | 2008 |
Fast multiple organ detection and localization in whole-body MR Dixon sequences O Pauly, B Glocker, A Criminisi, D Mateus, AM Möller, S Nekolla, N Navab Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 140 | 2011 |
Deep learning and data labeling for medical applications G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ... | 116* | 2016 |
Capsule networks against medical imaging data challenges A Jiménez-Sánchez, S Albarqouni, D Mateus Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018 | 106 | 2018 |
Estimating human 3d pose from time-of-flight images based on geodesic distances and optical flow LA Schwarz, A Mkhitaryan, D Mateus, N Navab 2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011 | 99 | 2011 |
Workflow monitoring based on 3d motion features N Padoy, D Mateus, D Weinland, MO Berger, N Navab 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 92 | 2009 |
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, ... Springer Nature, 2020 | 82 | 2020 |
Inexact matching of large and sparse graphs using laplacian eigenvectors D Knossow, A Sharma, D Mateus, R Horaud Graph-Based Representations in Pattern Recognition: 7th IAPR-TC-15 …, 2009 | 73 | 2009 |
Memory-aware curriculum federated learning for breast cancer classification A Jiménez-Sánchez, M Tardy, MAG Ballester, D Mateus, G Piella Computer Methods and Programs in Biomedicine 229, 107318, 2023 | 71 | 2023 |
SHREC 2010: robust correspondence benchmark A Bronstein, MM Bronstein, U Castellani, A Dubrovina, LJ Guibas, ... Eurographics Workshop on 3D Object Retrieval 10, 087-091, 2010 | 70 | 2010 |
Multi-camera scene flow by tracking 3-d points and surfels F Devernay, D Mateus, M Guilbert 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 63 | 2006 |
Manifold learning for tof-based human body tracking and activity recognition. LA Schwarz, D Mateus, V Castañeda, N Navab BMVC, 1-11, 2010 | 55 | 2010 |
Machine learning in computer-aided diagnosis: Medical imaging intelligence and analysis: Medical imaging intelligence and analysis K Suzuki IGI Global, 2012 | 47 | 2012 |
Robot visual navigation in semi-structured outdoor environments D Mateus, G Avina, M Devy Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005 | 46 | 2005 |
Random survival forest to predict transplant-eligible newly diagnosed multiple myeloma outcome including FDG-PET radiomics: a combined analysis of two independent prospective … B Jamet, L Morvan, C Nanni, AV Michaud, C Bailly, S Chauvie, P Moreau, ... European journal of nuclear medicine and molecular imaging 48, 1005-1015, 2021 | 45 | 2021 |
Optical classification of neoplastic colorectal polyps–a computer-assisted approach (the COACH study) J Renner, H Phlipsen, B Haller, F Navarro-Avila, Y Saint-Hill-Febles, ... Scandinavian journal of gastroenterology 53 (9), 1100-1106, 2018 | 45 | 2018 |
Endoscopic video manifolds for targeted optical biopsy S Atasoy, D Mateus, A Meining, GZ Yang, N Navab IEEE transactions on medical imaging 31 (3), 637-653, 2011 | 45 | 2011 |
SLAM combining ToF and high-resolution cameras V Castaneda, D Mateus, N Navab 2011 IEEE Workshop on Applications of Computer Vision (WACV), 672-678, 2011 | 45 | 2011 |