Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

30 September 2024

Papers citing "Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT"

5 / 5 papers shown

Title
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 69 4 0 16 Oct 2023
Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data Dmitrii Lachinov A. Chakravarty C. Grechenig U. Schmidt-Erfurth Hrvoje Bogunović 45 11 0 08 Nov 2022
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 41 14 0 30 Jun 2022
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 299 1,243 0 02 Jun 2016
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 121 2,515 0 03 Jun 2015