LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image

16 October 2023

Papers citing "LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image"

4 / 4 papers shown

Title
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT A. Chakravarty T. Emre Dmitrii Lachinov Antoine Rivail H. Scholl ... S. Sivaprasad Daniel Rueckert A. Lotery U. Schmidt-Erfurth Hrvoje Bogunović 18 0 0 30 Sep 2024
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
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 Yi-Hsuan Li Alireza Rezaei ... Pascale Massin B. Cochener Ikram Brahim G. Quellec M. Lamard 26 0 0 24 Mar 2024
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