Antoine Rivail

13 papers Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs.
IEEE Trans. Medical Imaging
Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitry A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 — conf
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.
MICCAI (5)
Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.
CoRR
Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 — conf
Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations.
MICCAI (12)
Taha Emre, Arunava Chakravarty, Dmitry A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 — conf
Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency.
MIDL
Arunava Chakravarty, Taha Emre, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT.
CoRR
Taha Emre, Arunava Chakravarty, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 J jnl
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.
CoRR
Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitrii A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 J jnl
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT.
CoRR
Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 — conf
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.
OMIA@MICCAI
Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022 J jnl
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes.
CoRR
Taha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022 — conf
TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes.
MICCAI (2)
Taha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2019 J jnl
Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning.
CoRR
Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic
2019 — conf
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning.
PRIME@MICCAI
Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic