| 2021 | BMVC | Introducing the Boundary-Aware loss for deep image segmentation. | Minh On Vu Ngoc, Yizi Chen, Nicolas Boutry, Joseph Chazalon, Edwin Carlinet, Clment Mallet, Thierry Graud |
| 2020 | ICPR | FOANet: A Focus of Attention Network with Application to Myocardium Segmentation. | Zhou Zhao, lodie Puybareau, Nicolas Boutry, Thierry Graud |
| 2020 | ICPR | Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation. | Zhou Zhao, lodie Puybareau, Nicolas Boutry, Thierry Graud |
| 2020 | IWCIA | Euler Well-Composedness. | Nicolas Boutry, Roco Gonzlez-Daz, Mara Jos Jimnez, Eduardo Paluzo-Hidalgo |
| 2020 | IWCIA | A 4D Counter-Example Showing that DWCness Does Not Imply CWCness in nD. | Nicolas Boutry, Roco Gonzlez-Daz, Laurent Najman, Thierry Graud |
| 2020 | MICCAI | Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation. | Zhou Zhao, Nicolas Boutry, lodie Puybareau |
| 2019 | ISMM | An Equivalence Relation Between Morphological Dynamics and Persistent Homology in 1D. | Nicolas Boutry, Thierry Graud, Laurent Najman |
| 2019 | MICCAI | A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images. | Zhou Zhao, Nicolas Boutry, lodie Puybareau, Thierry Graud |
| 2017 | ISMM | Introducing the Dahu Pseudo-Distance. | Thierry Graud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry |
| 2015 | ICIP | How to make nD images well-composed without interpolation. | Nicolas Boutry, Thierry Graud, Laurent Najman |
| 2015 | ISMM | How to Make nD Functions Digitally Well-Composed in a Self-dual Way. | Nicolas Boutry, Thierry Graud, Laurent Najman |