Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation

16 October 2023

Papers citing "Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation"

4 / 4 papers shown

Title
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression Rachid Zeghlache Pierre-Henri Conze Mostafa EL HABIB DAHO Yi-Hsuan Li Hugo Le Boité ... B. Cochener Alireza Rezaei Ikram Brahim G. Quellec M. Lamard 21 0 0 10 Apr 2024
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction Yi-Hsuan Li Philippe Zhang Yubo Tan Jing Zhang Zhihan Wang Weili Jiang Pierre-Henri Conze M. Lamard G. Quellec Mostafa EL HABIB DAHO 24 2 0 08 Jan 2024
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image Rachid Zeghlache Pierre-Henri Conze Mostafa EL HABIB DAHO Yi-Hsuan Li Hugo Le Boité ... Pascale Massin B. Cochener Ikram Brahim G. Quellec M. Lamard 8 4 0 16 Oct 2023
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes T. Emre A. Chakravarty Antoine Rivail Sophie Riedl U. Schmidt-Erfurth Hrvoje Bogunović 26 14 0 30 Jun 2022