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Mauricio Reyes
Mauricio Reyes
Medical Image Analysis, ARTORG Center, Univ. Bern
Dirección de correo verificada de med.unibe.ch - Página principal
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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
53272014
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
17412018
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
10732013
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
4952013
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
4912011
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
4872017
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
3492020
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
2202010
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
2102015
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
2092010
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
1802012
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
1772018
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
1632018
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
1592014
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
1432018
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
1392021
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
1392019
Clinical evaluation of a fully-automatic segmentation method for longitudinal brain tumor volumetry
R Meier, U Knecht, T Loosli, S Bauer, J Slotboom, R Wiest, M Reyes
Scientific reports 6 (1), 23376, 2016
1212016
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
1192022
Identifying the best machine learning algorithms for brain tumor segmentation
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
progression assessment, and overall survival prediction in the BRATS …, 2018
1142018
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