| 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 | 78 | 2021 |
| 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 | 77 | 2021 |
| A tutorial on well-composedness N Boutry, T Géraud, L Najman Journal of Mathematical Imaging and Vision 60 (3), 443-478, 2018 | 30 | 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 | 26 | 2015 |
| 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 | 17 | 2020 |
| 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 | 15 | 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 | 12 | 2015 |
| 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 |
| An Equivalence Relation Between Morphological Dynamics and Persistent Homology in n-D N Boutry, T Géraud, L Najman Discrete Geometry and Mathematical Morphology: First International Joint …, 2021 | 9 | 2021 |
| QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... arXiv preprint arXiv:2112.10074, 2021 | 8 | 2021 |
| A study of well-composedness in nD N Boutry PhD thesis, Université Paris-Est, France, 2016 | 8 | 2016 |
| 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 | 7 | 2022 |
| 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 | 7 | 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 Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 7 | 2020 |
| Well-composedness in Alexandrov spaces implies digital well-composedness in N Boutry, L Najman, T Géraud Discrete Geometry for Computer Imagery: 20th IAPR International Conference …, 2017 | 7 | 2017 |
| 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 | 6 | 2020 |
| QU-BraTS: MICCAI BraTS 2020 Challenge on QuantifyingUncertainty 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, ... Journal of Machine Learning for Biomedical Imaging 1, 2022 | 4 | 2022 |
| A 4D Counter-Example Showing that DWCness Does Not Imply CWCness in nD N Boutry, R Gonzalez-Diaz, L Najman, T Géraud Combinatorial Image Analysis: 20th International Workshop, IWCIA 2020, Novi …, 2020 | 4 | 2020 |
| About the equivalence between AWCness and DWCness N Boutry, L Najman, T Géraud LIGM-Laboratoire d'Informatique Gaspard-Monge; LRDE-Laboratoire de Recherche …, 2016 | 4 | 2016 |
Thierry GéraudProfessor at EPITAVerified email at lrde.epita.fr
