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

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

AAAI Conference on Artificial Intelligence (AAAI), 2020
11 December 2020
Li Sun
Ke Yu
Kayhan Batmanghelich
    SSL
ArXiv (abs)PDFHTML

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

7 / 7 papers shown
MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound Reconstruction
MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound ReconstructionIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Mingyuan Luo
Xin Yang
Zhongnuo Yan
Yan Cao
Yuanji Zhang
...
Jin Wang
Haoxuan Ding
Wei Han
Litao Sun
Dong Ni
166
3
0
16 Jun 2025
DrasCLR: A Self-supervised Framework of Learning Disease-related and
  Anatomy-specific Representation for 3D Medical Images
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
444
2
0
21 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical ImagesMachine Intelligence Research (MIR), 2023
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
722
43
0
10 Feb 2023
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis
Heterogeneous Graph Learning for Multi-modal Medical Data AnalysisAAAI Conference on Artificial Intelligence (AAAI), 2022
Sein Kim
Namkyeong Lee
Junseok Lee
Dongmin Hyun
Chanyoung Park
466
52
0
28 Nov 2022
GATE: Graph CCA for Temporal SElf-supervised Learning for
  Label-efficient fMRI Analysis
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI AnalysisIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Liang Peng
Nan Wang
Jie Xu
Xiao-lan Zhu
Xiaoxiao Li
209
55
0
17 Mar 2022
Can contrastive learning avoid shortcut solutions?
Can contrastive learning avoid shortcut solutions?Neural Information Processing Systems (NeurIPS), 2021
Joshua Robinson
Li Sun
Ke Yu
Kayhan Batmanghelich
Stefanie Jegelka
S. Sra
SSL
349
166
0
21 Jun 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Xiwei Xu
Philip S. Yu
SSL
500
715
0
27 Feb 2021
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