Visualization of Three-Dimensional Ultra-High Resolution OCT in Virtual Reality. - Jürgen P. Schulze; Claudia Schulze-Döbold; Ali Erginay; Ramin Tadayoni (MMVR, 2013)

Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification. - Yihao Li; Mostafa El Habib Daho; Pierre-Henri Conze; Hassan Al Hajj; Sophie Bonnin; Hugang Ren; Niranchana Manivannan; Stephanie Magazzeni; Ramin Tadayoni; Béatrice Cochener; Mathieu Lamard; Gwenolé Quellec (OMIA@MICCAI, 2022)

Detection of Diabetic Retinopathy Using Longitudinal. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Gwenolé Quellec; Mathieu Lamard (OMIA@MICCAI, 2022)

Detection of diabetic retinopathy using longitudinal self-supervised learning. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Gwenolé Quellec; Mathieu Lamard (CoRR, 2022)

Multimodal Information Fusion for Glaucoma and DR Classification. - Yihao Li; Mostafa El Habib Daho; Pierre-Henri Conze; Hassan Al Hajj; Sophie Bonnin; Hugang Ren; Niranchana Manivannan; Stephanie Magazzeni; Ramin Tadayoni; Béatrice Cochener; Mathieu Lamard; Gwenolé Quellec (CoRR, 2022)

Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. - Mostafa El Habib Daho; Yihao Li; Rachid Zeghlache; Yapo Cedric Atse; Hugo Le Boité; Sophie Bonnin; Deborah Cosette; Pierre Deman; Laurent Borderie; Capucine Lepicard; Ramin Tadayoni; Béatrice Cochener; et al. (OMIA@MICCAI, 2023)

Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (PRIME@MICCAI, 2023)

LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (MLMI@MICCAI (2), 2023)

A Retinal Oct-Angiography and Cardiovascular STAtus (RASTA) Dataset of Swept-Source Microvascular Imaging for Cardiovascular Risk Assessment. - Clément Germanèse; Fabrice Mériaudeau; Pétra Eid; Ramin Tadayoni; Dominique Ginhac; Atif Anwer; Steinberg Laure-Anne; Charles Guenancia; Catherine Creuzot-Garcher; Pierre-Henry Gabrielle; Louis Arnould (Data, 2023)

LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Alireza Rezaei; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (MICCAI (5), 2024)

DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis. - Mostafa El Habib Daho; Yihao Li; Rachid Zeghlache; Hugo Le Boité; Pierre Deman; Laurent Borderie; Hugang Ren; Niranchana Manivannan; Capucine Lepicard; Béatrice Cochener; Aude Couturier; Ramin Tadayoni; et al. (Artif. Intell. Medicine, 2024)

A review of deep learning-based information fusion techniques for multimodal medical image classification. - Yihao Li; Mostafa El Habib Daho; Pierre-Henri Conze; Rachid Zeghlache; Hugo Le Boité; Ramin Tadayoni; Béatrice Cochener; Mathieu Lamard; Gwenolé Quellec (Comput. Biol. Medicine, 2024)

L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Yihao Li; Alireza Rezaei; Hugo Le Boité; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Ikram Brahim; Gwenolé Quellec; Mathieu Lamard (Comput. Biol. Medicine, 2025)