Deep Learning Methods for MRI Brain Tumor Segmentation: a comparative study. - Ikram Brahim; Dominique Fourer; Vincent Vigneron; Hichem Maaref (IPTA, 2019)

Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading. - Ikram Brahim; Mathieu Lamard; Anas-Alexis Benyoussef; Pierre-Henri Conze; Béatrice Cochener; Divi Cornec; Gwenolé Quellec (OMIA@MICCAI, 2022)

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)

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)

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)