| The multimodal brain tumor image segmentation benchmark (BRATS) BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE transactions on medical imaging 34 (10), 1993-2024, 2014 | 6556 | 2014 |
| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2166 | 2018 |
| A survey of MRI-based medical image analysis for brain tumor studies S Bauer, R Wiest, LP Nolte, M Reyes Physics in Medicine & Biology 58 (13), R97, 2013 | 1187 | 2013 |
| Ridge alterations post-extraction in the esthetic zone: a 3D analysis with CBCT V Chappuis, O Engel, M Reyes, K Shahim, LP Nolte, D Buser Journal of dental research 92 (12_suppl), 195S-201S, 2013 | 580 | 2013 |
| 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 | 542 | 2017 |
| Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization S Bauer, LP Nolte, M Reyes Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 512 | 2011 |
| On the interpretability of artificial intelligence in radiology: challenges and opportunities M Reyes, R Meier, S Pereira, CA Silva, FM Dahlweid, H Tengg-Kobligk, ... Radiology: artificial intelligence 2 (3), e190043, 2020 | 459 | 2020 |
| Metrics reloaded: recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ... Nature methods 21 (2), 195-212, 2024 | 302* | 2024 |
| Soft tissue alterations in esthetic postextraction sites: a 3-dimensional analysis V Chappuis, O Engel, K Shahim, M Reyes, C Katsaros, D Buser Journal of dental research 94 (9_suppl), 187S-193S, 2015 | 251 | 2015 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 234 | 2022 |
| Comparison of actual surgical outcomes and 3-dimensional surgical simulations S Tucker, LHS Cevidanes, M Styner, H Kim, M Reyes, W Proffit, T Turvey Journal of oral and maxillofacial surgery 68 (10), 2412-2421, 2010 | 234 | 2010 |
| Three-dimensional surgical simulation LHC Cevidanes, S Tucker, M Styner, H Kim, J Chapuis, M Reyes, W Proffit, ... American journal of orthodontics and dentofacial orthopedics 138 (3), 361-371, 2010 | 219 | 2010 |
| Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 209 | 2021 |
| Efficient active learning for image classification and segmentation using a sample selection and conditional generative adversarial network D Mahapatra, B Bozorgtabar, JP Thiran, M Reyes International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 208 | 2018 |
| Segmentation of brain tumor images based on integrated hierarchical classification and regularization S Bauer, T Fejes, J Slotboom, R Wiest, LP Nolte, M Reyes MICCAI BraTS Workshop. Nice: Miccai Society 11, 2012 | 190 | 2012 |
| Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment S Pereira, R Meier, V Alves, M Reyes, CA Silva Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018 | 182 | 2018 |
| Dual-stream pyramid registration network M Kang, X Hu, W Huang, MR Scott, M Reyes Medical image analysis 78, 102379, 2022 | 179 | 2022 |
| 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 | 178 | 2018 |
| Assessing reliability and challenges of uncertainty estimations for medical image segmentation A Jungo, M Reyes Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 173 | 2019 |
| Multi-modal glioblastoma segmentation: man versus machine N Porz, S Bauer, A Pica, P Schucht, J Beck, RK Verma, J Slotboom, ... PloS one 9 (5), e96873, 2014 | 167 | 2014 |
Raphael Meierarmasuisse S+TEmail verificata su armasuisse.ch
