Léo Lebrat

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Diffeomorphic Registration

Piecewise Constant

Cortical Surface

Photometric Stereo

Top Venues

Medical Image Anal.

Publications

Remi Chierchia, Léo Lebrat, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Rodrigo Santa Cruz
SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos. CoRR (2024)
Rongkai Ma, Léo Lebrat, Rodrigo Santa Cruz, Gil Avraham, Yan Zuo, Clinton Fookes, Olivier Salvado
Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. CoRR (2024)
Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat
NeRF Director: Revisiting View Selection in Neural Volume Rendering. CoRR (2024)
Joshua Peters, Léo Lebrat, Rodrigo Santa Cruz, Aaron Nicolson, Gregg Belous, Salamata Konate, Parnesh Raniga, Vincent Doré, Pierrick Bourgeat, Jurgen Mejan-Fripp, Clinton Fookes, Olivier Salvado
DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. WACV (2023)
Léo Lebrat, Rodrigo Santa Cruz, Reuben Dorent, Javier Urriola Yaksic, Alex M. Pagnozzi, Gregg Belous, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. ISBI (2023)
Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Andrew P. Bradley, Olivier Salvado
Bias Identification with RankPix Saliency. ICASSP (2023)
Léo Lebrat, Rodrigo Santa Cruz, Remi Chierchia, Yulia Arzhaeva, Mohammad Ali Armin, Joshua Goldsmith, Jeremy Oorloff, Prithvi Reddy, Chuong Nguyen, Lars Petersson, Michelle Barakat-Johnson, Georgina Luscombe, Clinton Fookes, Olivier Salvado, David Ahmedt-Aristizabal
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. CoRR (2023)
Rodrigo Santa Cruz, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. CoRR (2022)
Rodrigo Santa Cruz, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. MICCAI (5) (2022)
Léo Lebrat, Aaron Nicolson, Rodrigo Santa Cruz, Gregg Belous, Bevan Koopman, Jason Dowling
CSIRO at ImageCLEFmedical Caption 2022. CLEF (Working Notes) (2022)
Léo Lebrat, Rodrigo Santa Cruz, Frédéric de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction. CoRR (2022)
Filip Rusak, Rodrigo Santa Cruz, Léo Lebrat, Ondrej Hlinka, Jurgen Fripp, Elliot Smith, Clinton Fookes, Andrew P. Bradley, Pierrick Bourgeat
Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods. Medical Image Anal. 82 (2022)
Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Elliot Smith, Andrew P. Bradley, Clinton Fookes, Olivier Salvado
A Comparison of Saliency Methods for Deep Learning Explainability. DICTA (2021)
Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado
Going Deeper With Brain Morphometry Using Neural Networks. ISBI (2021)
Léo Lebrat, Rodrigo Santa Cruz, Frédéric de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction. NeurIPS (2021)
Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado
MongeNet: Efficient Sampler for Geometric Deep Learning. CoRR (2021)
Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Pierrick Bourgeat, Vincent Doré, Jurgen Fripp, Andrew P. Bradley, Clinton Fookes, Olivier Salvado
Smocam: Smooth Conditional Attention Mask For 3d-Regression Models. ISBI (2021)
Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. WACV (2021)
Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado
MongeNet: Efficient Sampler for Geometric Deep Learning. CVPR (2021)
Léo Lebrat, Frédéric de Gournay, Jonas Kahn
3/4-Discrete Optimal Transport. SIAM J. Sci. Comput. 42 (4) (2020)
Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. CoRR (2020)
Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado
Going deeper with brain morphometry using neural networks. CoRR (2020)
Frédéric de Gournay, Jonas Kahn, Léo Lebrat
Differentiation and regularity of semi-discrete optimal transport with respect to the parameters of the discrete measure. Numerische Mathematik 141 (2) (2019)
Frédéric de Gournay, Jonas Kahn, Léo Lebrat
Approximation of curves with piecewise constant or piecewise linear functions. CoRR (2019)
Léo Lebrat, Frédéric de Gournay, Jonas Kahn, Pierre Weiss
Optimal Transport Approximation of 2-Dimensional Measures. SIAM J. Imaging Sci. 12 (2) (2019)