Ikram Brahim

According to our database, Ikram Brahim authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

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

CoRR, 2024

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

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

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

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 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

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

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

Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

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

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

2019

Deep Learning Methods for MRI Brain Tumor Segmentation: a comparative study.

Ikram Brahim, Dominique Fourer, Vincent Vigneron, Hichem Maaref

Proceedings of the Ninth International Conference on Image Processing Theory, 2019