| 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 | 293 | 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 | 271 | 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 | 252 | 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 | 141 | 2011 |
| Deep learning and data labeling for medical applications G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ... | 122* | 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 | 112 | 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 | 100 | 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 | 94 | 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 | 86 | 2023 |
| 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 | 86 | 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 |
| 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 |
| 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 | 52 | 2021 |
| Machine learning in computer-aided diagnosis: Medical imaging intelligence and analysis: Medical imaging intelligence and analysis K Suzuki IGI Global, 2012 | 49 | 2012 |
| Precise proximal femur fracture classification for interactive training and surgical planning A Jiménez-Sánchez, A Kazi, S Albarqouni, C Kirchhoff, P Biberthaler, ... International journal of computer assisted radiology and surgery 15, 847-857, 2020 | 46* | 2020 |
| 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 |
| Medical-based deep curriculum learning for improved fracture classification A Jiménez-Sánchez, D Mateus, S Kirchhoff, C Kirchhoff, P Biberthaler, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 45 | 2019 |
| 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 |
Nassir NavabProfessor of Computer Science, Technische Universität München在 cs.tum.edu 的电子邮件经过验证
