Taha Emre - RankMe

23 papers Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automatic detection and prediction of nAMD activity change in retinal OCT using Siamese networks and Wasserstein Distance for ordinality. CoRR Taha Emre, Teresa Araújo, Marzieh Oghbaie, Dmitry A. Lachinov, Guilherme Aresta, Hrvoje Bogunovic
2025	J	`jnl`	Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. CoRR Rachid Zeghlache, Ikram Brahim, Pierre-Henri Conze, Mathieu Lamard, Mohammed El Amine Lazouni, Elaouaber Zineb Aziza, Leila Ryma Lazouni, Christopher Nielsen, Ahmad O. Ahsan, Matthias Wilms, Nils D. Forkert, Lovre Antonio Budimir, Ivana Zadro Matovinovic, Donik Vrsnak, Sven Loncaric, Philippe Zhang, Weili Jiang, Yihao Li, Yiding Hao, Markus Frohmann, Patrick Binder, Marcel Huber, Taha Emre, Teresa Araújo, Marzieh Oghbaie, Hrvoje Bogunovic, Amerens A. Bekkers, Nina M. van Liebergen, Hugo J. Kuijf, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Alberto J. Beltrán-Carrero, Juan J. Gómez-Valverde, Javier Torresano-Rodríguez, Álvaro Caballero-Sastre, María J. Ledesma-Carbayo, Yosuke Yamagishi, Yi Ding, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Jessica Kächele, Sofiane Zehar, Karim Boukli Hacene, Thomas Monfort, Béatrice Cochener, Mostafa El Habib Daho, Anas-Alexis Benyoussef, Gwenolé Quellec
2025	—	`conf`	GARD: Gamma-Based Anatomical Restoration and Denoising for Retinal OCT. OMIA@MICCAI Botond Fazekas, Thomas Pinetz, Guilherme Aresta, Taha Emre, Hrvoje Bogunovic
2025	J	`jnl`	GARD: Gamma-based Anatomical Restoration and Denoising for Retinal OCT. CoRR Botond Fazekas, Thomas Pinetz, Guilherme Aresta, Taha Emre, Hrvoje Bogunovic
2025	J	`jnl`	MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis. CoRR José Morano, Botond Fazekas, Emese Sükei, Ronald Fecso, Taha Emre, Markus Gumpinger, Georg Faustmann, Marzieh Oghbaie, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2025	J	`jnl`	Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis. npj Digit. Medicine José Morano, Botond Fazekas, Emese Sükei, Ronald Fecso, Taha Emre, Markus Gumpinger, Georg Faustmann, Marzieh Oghbaie, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2025	J	`jnl`	Stochastic Siamese MAE Pretraining for Longitudinal Medical Images. CoRR Taha Emre, Arunava Chakravarty, Thomas Pinetz, Dmitry A. Lachinov, Martin J. Menten, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Stefan Sacu, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
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`	Automatic Detection and Prediction of nAMD Activity Change in Retinal OCT Using Siamese Networks and Wasserstein Distance for Ordinality. DIAMOND/MARIO@MICCAI Taha Emre, Teresa Araújo, Marzieh Oghbaie, Dmitrii A. Lachinov, Guilherme Aresta, 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	J	`jnl`	Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes. IEEE Trans. Medical Imaging 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
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`	Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT. CoRR 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
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
2023	—	`conf`	Transformer-Based End-to-End Classification of Variable-Length Volumetric Data. MICCAI (6) Marzieh Oghbaie, Teresa Araújo, Taha Emre, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023	J	`jnl`	Transformer-based end-to-end classification of variable-length volumetric data. CoRR Marzieh Oghbaie, Teresa Araujo, Taha Emre, 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