Approximation of curves with piecewise constant or piecewise linear functions. - Frédéric de Gournay; Jonas Kahn; Léo Lebrat (CoRR, 2019)

Differentiation and regularity of semi-discrete optimal transport with respect to the parameters of the discrete measure. - Frédéric de Gournay; Jonas Kahn; Léo Lebrat (Numerische Mathematik, 2019)

Optimal Transport Approximation of 2-Dimensional Measures. - Léo Lebrat; Frédéric de Gournay; Jonas Kahn; Pierre Weiss (SIAM J. Imaging Sci., 2019)

3/4-Discrete Optimal Transport. - Léo Lebrat; Frédéric de Gournay; Jonas Kahn (SIAM J. Sci. Comput., 2020)

MongeNet: Efficient Sampler for Geometric Deep Learning. - Léo Lebrat; Rodrigo Santa Cruz; Clinton Fookes; Olivier Salvado (CVPR, 2021)

A Comparison of Saliency Methods for Deep Learning Explainability. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Elliot Smith 003; Andrew P. Bradley; Clinton Fookes; Olivier Salvado (DICTA, 2021)

Going Deeper With Brain Morphometry Using Neural Networks. - Rodrigo Santa Cruz; Léo Lebrat; Pierrick Bourgeat; Vincent Doré; Jason Dowling; Jurgen Fripp; Clinton Fookes; Olivier Salvado (ISBI, 2021)

Smocam: Smooth Conditional Attention Mask For 3d-Regression Models. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Pierrick Bourgeat; Vincent Doré; Jurgen Fripp; Andrew P. Bradley; Clinton Fookes; Olivier Salvado (ISBI, 2021)

CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction. - Léo Lebrat; Rodrigo Santa Cruz; Frédéric de Gournay; Darren Fu; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (NeurIPS, 2021)

DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. - Rodrigo Santa Cruz; Léo Lebrat; Pierrick Bourgeat; Clinton Fookes; Jurgen Fripp; Olivier Salvado (WACV, 2021)

CSIRO at ImageCLEFmedical Caption 2022. - Léo Lebrat; Aaron Nicolson; Rodrigo Santa Cruz; Gregg Belous; Bevan Koopman; Jason Dowling (CLEF (Working Notes), 2022)

CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. - Rodrigo Santa Cruz; Léo Lebrat; Darren Fu; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (MICCAI (5), 2022)

CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction. - Léo Lebrat; Rodrigo Santa Cruz; Frédéric de Gournay; Darren Fu; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (CoRR, 2022)

Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods. - Filip Rusak; Rodrigo Santa Cruz; Léo Lebrat; Ondrej Hlinka; Jurgen Fripp; Elliot Smith 003; Clinton Fookes; Andrew P. Bradley; Pierrick Bourgeat (Medical Image Anal., 2022)

Bias Identification with RankPix Saliency. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Clinton Fookes; Andrew P. Bradley; Olivier Salvado (ICASSP, 2023)

Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. - Léo Lebrat; Rodrigo Santa Cruz; Reuben Dorent; Javier Urriola Yaksic; Alex M. Pagnozzi; Gregg Belous; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (ISBI, 2023)

DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. - 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 (WACV, 2023)

NeRF Director: Revisiting View Selection in Neural Volume Rendering. - Wenhui Xiao; Rodrigo Santa Cruz; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Léo Lebrat (CVPR, 2024)

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. - 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; et al. (ISBI, 2024)

Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. - Olivier Salvado; Salamata Konate; Rodrigo Santa Cruz; Andrew P. Bradley; Judy Wawira Gichoya; Laleh Seyyed-Kalantari; Brandon J. Price; Clinton Fookes; Léo Lebrat (ISBI, 2024)

Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs. - Bowen Xin; Tony Young; Claire E. Wainwright; Tamara Blake; Léo Lebrat; Thomas Gaass; Thomas Benkert; Alto Stemmer; David Coman; Jason Dowling (MIDL, 2024)

Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. - Rongkai Ma; Léo Lebrat; Rodrigo Santa Cruz; Gil Avraham; Yan Zuo; Clinton Fookes; Olivier Salvado (CoRR, 2024)

SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-Grade Videos. - Remi Chierchia; Léo Lebrat; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Rodrigo Santa Cruz (WACV, 2025)

Neural Radiance Fields for the Real World: A Survey. - Wenhui Xiao; Remi Chierchia; Rodrigo Santa Cruz; Xuesong Li 001; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Léo Lebrat (CoRR, 2025)

Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates. - Alejandro Ascarate; Léo Lebrat; Rodrigo Santa Cruz; Clinton Fookes; Olivier Salvado (CoRR, 2025)