TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes

30 June 2022

Papers citing "TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes"

6 / 6 papers shown

Title
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data Luoting Zhuang Stephen H. Park Steven J. Skates Ashley E. Prosper Denise R. Aberle William Hsu 117 0 0 11 Feb 2025
Masked Image Modelling for retinal OCT understanding Theodoros Pissas Pablo Márquez-Neila Sebastian Wolf M. Zinkernagel Raphael Sznitman 17 0 0 23 May 2024
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs T. Emre A. Chakravarty Antoine Rivail Dmitrii Lachinov Oliver Leingang ... S. Sivaprasad Daniel Rueckert A. Lotery U. Schmidt-Erfurth Hrvoje Bogunović MedIm 18 3 0 28 Dec 2023
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation 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
Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning Soorena Salari Amir Rasoulian H. Rivaz Yiming Xiao 13 5 0 26 Jul 2023
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT A. Chakravarty T. Emre Oliver Leingang Sophie Riedl Julia Mai ... S. Sivaprasad Daniel Rueckert A. Lotery U. Schmidt-Erfurth Hrvoje Bogunović 21 1 0 17 Apr 2023