Context Matters: Graph-based Self-supervised Representation Learning for
Medical Images

Context Matters: Graph-based Self-supervised Representation Learning for Medical Images

11 December 2020

Kayhan Batmanghelich

Papers citing "Context Matters: Graph-based Self-supervised Representation Learning for Medical Images"

7 / 7 papers shown

Title
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 17 1 0 21 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang E. Ahn Da-wei Feng Jinman Kim MedIm 21 27 0 10 Feb 2023
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis Sein Kim Namkyeong Lee Junseok Lee Dongmin Hyun Chanyoung Park 19 24 0 28 Nov 2022
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis Liang Peng Nan Wang Jie Xu Xiao-lan Zhu Xiaoxiao Li 29 33 0 17 Mar 2022
Can contrastive learning avoid shortcut solutions? Joshua Robinson Li Sun Ke Yu Kayhan Batmanghelich Stefanie Jegelka S. Sra SSL 19 141 0 21 Jun 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Feng Xia Philip S. Yu SSL 19 542 0 27 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 264 3,369 0 09 Mar 2020