Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. - Yihao Li; Rachid Zeghlache; Ikram Brahim; Hui Xu; Yubo Tan; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Mostafa El Habib Daho (MIDOG/DRAC@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)

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)

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)

Longitudinal and multi-modal monitoring for the detection of diabetic retinopathy using deep learning. (Suivi longitudinal et multimodal pour la détection de la rétinopathie diabétique par deep learning). - Rachid Zeghlache (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)

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. - 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; et al. (CoRR, 2025)