Scholar
Leo Lebrat
Google Scholar ID: F122Cl0AAAAJ
QUT
Citations & Impact
Citations
339
H-index
9
i10-index
9
Publications
20
Co-authors
13
list available
Contact
Publications
Resume (English only)
Academic Achievements
- NeRF Director (CVPR, 2024)
- Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis (ISBI, 2024)
- Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation (ISBI, 2023)
- DBCE: a saliency method for medical deep learning through anatomically-consistent free-form deformations (WACV, 2023)
- Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods (Medical Image Analysis, 2022)
- CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability (MICCAI, 2022)
- Generative Model of Brain Microbleeds for MRI Detection of Vascular Marker of Neurodegenerative Diseases (Frontiers in Neurosciences, 2021)
- Cortical Flow: A Diffeomorphic Mesh Deformation Network for Cortical Surface Reconstruction (NeurIPS, 2021)
- MongeNet: Efficient Sampler for Geometric Deep Learning (CVPR, 2021)
- Going Deeper with Brain Morphometry using Neural Networks (ISBI, 2021)
- SMOCAM: SMOoth Conditional Attention Mask for 3D-Regression Models (ISBI, 2021)
- DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction (WACV, 2021)
Research Experience
- Worked at QUT in the School of Electrical Engineering and Robotics; previously employed at Data 61's Imaging and Computer Vision Group and the Australian e-Health Research Centre's Neuroimaging Group.
Education
- Completed PhD thesis at Institut de Mathematiques de Toulouse (IMT) under the supervision of Frederic de Gournay and Jonas Kahn in 2019.
Background
- Senior research fellow with a strong interest in Computer Vision, Optimization, Artificial Intelligence, and their applications in healthcare.
Miscellany
- Before joining CSIRO, my research focused on Optimal Transport and Optimisation.
