Léo Lebrat

According to our database, Léo Lebrat authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

CoRR, 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

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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, Clinton Fookes, Olivier Salvado, David Ahmedt-Aristizabal

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

NeRF Director: Revisiting View Selection in Neural Volume Rendering.

Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Bias Identification with RankPix Saliency.

Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Andrew P. Bradley, Olivier Salvado

Proceedings of the IEEE International Conference on Acoustics, 2023

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, Clinton Fookes, Andrew P. Bradley, Pierrick Bourgeat

Medical Image Anal., 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

CorticalFlow⁺⁺: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability.

Rodrigo Santa Cruz, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

CSIRO at ImageCLEFmedical Caption 2022.

Léo Lebrat, Aaron Nicolson, Rodrigo Santa Cruz, Gregg Belous, Bevan Koopman, Jason Dowling

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction.

Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Comparison of Saliency Methods for Deep Learning Explainability.

Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Elliot Smith, Andrew P. Bradley, Clinton Fookes, Olivier Salvado

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

MongeNet: Efficient Sampler for Geometric Deep Learning.

Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

3/4-Discrete Optimal Transport.

Léo Lebrat, Frédéric de Gournay, Jonas Kahn

SIAM J. Sci. Comput., 2020

2019

Optimal Transport Approximation of 2-Dimensional Measures.

Léo Lebrat, Frédéric de Gournay, Jonas Kahn, Pierre Weiss

SIAM J. Imaging Sci., 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

Approximation of curves with piecewise constant or piecewise linear functions.

Frédéric de Gournay, Jonas Kahn, Léo Lebrat

CoRR, 2019