Taha Emre

According to our database, Taha Emre authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

2024

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs.

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

IEEE Trans. Medical Imaging, September, 2024

Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes.

Arunava Chakravarty, Taha Emre, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic

IEEE Trans. Medical Imaging, September, 2024

Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT.

Taha Emre, Arunava Chakravarty, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic

CoRR, 2024

Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations.

Taha Emre, Arunava Chakravarty, Dmitry A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT.

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

CoRR, 2023

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT.

Arunava Chakravarty, Taha Emre, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic

CoRR, 2023

Transformer-Based End-to-End Classification of Variable-Length Volumetric Data.

Marzieh Oghbaie, Teresa Araújo, Taha Emre, Ursula Schmidt-Erfurth, Hrvoje Bogunovic

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.

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

Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

2022

TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes.

Taha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic

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