| VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ... Medical image analysis 73, 102166, 2021 | 286 | 2021 |
| Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... Medical image analysis 70, 102002, 2021 | 136 | 2021 |
| QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... The journal of machine learning for biomedical imaging 2022, 2022 | 52 | 2022 |
| Local intensity order transformation for robust curvilinear object segmentation T Shi, N Boutry, Y Xu, T Géraud IEEE Transactions on Image Processing 31, 2557-2569, 2022 | 51 | 2022 |
| A u-net++ with pre-trained efficientnet backbone for segmentation of diseases and artifacts in endoscopy images and videos NB Le Duy Huynh CEUR Workshop Proceedings 2595, 13-17, 2020 | 33 | 2020 |
| A tutorial on well-composedness N Boutry, T Géraud, L Najman Journal of Mathematical Imaging and Vision 60 (3), 443-478, 2018 | 32 | 2018 |
| How to Make nD Functions Digitally Well-Composed in a Self-dual Way N Boutry, T Géraud, L Najman Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015 | 29 | 2015 |
| On Making nD Images Well-Composed by a Self-dual Local Interpolation N Boutry, T Géraud, L Najman Discrete Geometry for Computer Imagery: 18th IAPR International Conference …, 2014 | 16 | 2014 |
| How to make nD images well-composed without interpolation N Boutry, T Géraud, L Najman 2015 IEEE International Conference on Image Processing (ICIP), 2149-2153, 2015 | 13 | 2015 |
| Do not treat boundaries and regions differently: An example on heart left atrial segmentation Z Zhao, E Puybareau, N Boutry, T Géraud 2020 25th International Conference on Pattern Recognition (ICPR), 7447-7453, 2021 | 11 | 2021 |
| Weakly well-composed cell complexes over nD pictures N Boutry, R Gonzalez-Diaz, MJ Jimenez Information Sciences 499, 62-83, 2019 | 11 | 2019 |
| Introducing the Dahu pseudo-distance T Géraud, Y Xu, E Carlinet, N Boutry Mathematical Morphology and Its Applications to Signal and Image Processing …, 2017 | 10 | 2017 |
| Introducing the Boundary-Aware loss for deep image segmentation MÔV Ngoc, Y Chen, N Boutry, J Chazalon, E Carlinet, J Fabrizio, C Mallet, ... British Machine Vision Conference (BMVC) 2021, 2021 | 9 | 2021 |
| An Equivalence Relation Between Morphological Dynamics and Persistent Homology in n-D N Boutry, T Géraud, L Najman International Conference on Discrete Geometry and Mathematical Morphology …, 2021 | 9 | 2021 |
| Using separated inputs for multimodal brain tumor segmentation with 3d u-net-like architectures N Boutry, J Chazalon, E Puybareau, G Tochon, H Talbot, T Géraud International MICCAI Brainlesion Workshop, 187-199, 2019 | 9 | 2019 |
| A study of well-composedness in nD N Boutry PhD thesis, Université Paris-Est, France, 2016 | 9 | 2016 |
| A minimum barrier distance for multivariate images with applications MÔV Ngoc, N Boutry, J Fabrizio, T Géraud Computer Vision and Image Understanding 197, 2020 | 8 | 2020 |
| A translational pathway of deep learning methods in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... arXiv preprint arXiv:2010.06034 5 (6), 7, 2020 | 8 | 2020 |
| Well-composedness in Alexandrov spaces implies digital well-composedness in N Boutry, L Najman, T Géraud International Conference on Discrete Geometry for Computer Imagery, 225-237, 2017 | 7 | 2017 |
| Residual 3d u-net with localization for brain tumor segmentation M Demoustier, I Khemir, QD Nguyen, L Martin-Gaffé, N Boutry International MICCAI Brainlesion Workshop, 389-399, 2021 | 5 | 2021 |
Thierry GéraudFull professor with EPITA, Head of EPITA Research Laboratory (LRE)確認したメール アドレス: epita.fr