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ORCIDBenoît Presles
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- affiliation: Université de Bourgogne, Dijon, France
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2020 – today
- 2023
[j7]Félix Quinton
, Romain Popoff, Benoît Presles, Sarah Leclerc, Fabrice Mériaudeau, Guillaume Nodari, Olivier Lopez, Julie Pellegrinelli, Olivier Chevallier, Dominique Ginhac, Jean-Marc Vrigneaud, Jean-Louis Alberini:
A Tumour and Liver Automatic Segmentation (ATLAS) Dataset on Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma. Data 8(5): 79 (2023)- [j6]Armando Barrera-Naranjo, Diana Marcela Marín Castrillón, Thomas Decourselle, Siyu Lin, Sarah Leclerc, Marie-Catherine Morgant, Chloé Bernard, Shirley De Oliveira, Arnaud Boucher, Benoit Presles, Olivier Bouchot, Jean-Joseph Christophe, Alain Lalande:
Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets. J. Imaging 9(6): 123 (2023) - [e1]Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - 2021
- [c7]Diana Marín-Castrillón, Arnaud Boucher, Siyu Lin, Chloé Bernard, Marie-Catherine Morgant, Alexandre Cochet, Alain Lalande, Olivier Bouchot, Benoit Presles:
Multi-atlas Segmentation of the Aorta from 4D Flow MRI: Comparison of Several Fusion Strategies. STACOM@MICCAI 2021: 3-11
2010 – 2019
- 2019
- [j5]Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romaní, Domenec Puig:
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access 7: 130552-130565 (2019) - [j4]Michela Antonelli, M. Jorge Cardoso, Edward W. Johnston, Mrishta Brizmohun Appayya, Benoît Presles, Marc Modat, Shonit Punwani, Sébastien Ourselin:
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. Medical Image Anal. 52: 97-108 (2019) - 2016
- [j3]Johan Debayle, Benoît Presles:
Rigid image registration by General Adaptive Neighborhood matching. Pattern Recognit. 55: 45-57 (2016) - [c6]Benoît Presles, Johan Debayle:
A distance-based shape descriptor invariant to similitude and its application to shape classification. ICPR 2016: 2598-2603 - 2015
- [c5]Abdenaceur Abdouni, Benoît Presles, Marie Fargier-Voiron, Simon Rit, David Sarrut:
Development of 2D+T tracking algorithm in ultrasound images for radiotherapy. EMBC 2015: 2916-2919 - 2012
- [j2]Ola Suleiman Ahmad, Johan Debayle, Nesrine Gherras, Benoît Presles, Gilles Févotte, Jean-Charles Pinoli:
Quantification of overlapping polygonal-shaped particles based on a new segmentation method of in situ images during crystallization. J. Electronic Imaging 21(2): 021115 (2012) - [c4]Yvan Maillot, Benoît Presles, Johan Debayle:
Shape Reconstruction from an Unorganized Point Cloud with Outliers. ICIAR (1) 2012: 261-268 - [c3]Benoît Presles, Johan Debayle, Jean-Charles Pinoli:
Shape recognition from shadows of 3-D convex geometrical objects. ICIP 2012: 509-512 - 2011
- [c2]Benoît Presles, Johan Debayle, Yvan Maillot, Jean-Charles Pinoli:
Automatic Recognition of 2D Shapes from a Set of Points. ICIAR (1) 2011: 183-192 - 2010
- [j1]Benoît Presles, Johan Debayle, Gilles Févotte, Jean-Charles Pinoli:
Novel image analysis method for in situ monitoring the particle size distribution of batch crystallization processes. J. Electronic Imaging 19(3): 031207 (2010) - [c1]Benoît Presles, Johan Debayle, Ana Cameirao, Gilles Févotte, Jean-Charles Pinoli:
Volume estimation of 3D particles with known convex shapes from its projected areas. IPTA 2010: 399-404
Coauthor Index
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