Self-supervised learning methods and applications in medical imaging analysis: A survey

17 September 2021

Papers citing "Self-supervised learning methods and applications in medical imaging analysis: A survey"

11 / 11 papers shown

Title
Your contrastive learning problem is secretly a distribution alignment problem Zihao Chen Chi-Heng Lin Ran Liu Jingyun Xiao Eva L. Dyer 58 1 0 27 Feb 2025
A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma A. Gomaa Yixing Huang Pluvio Stephan Katharina Breininger Benjamin Frey ... U. Gaipl Christoph Bert R. Fietkau M. Schmidt F. Putz 84 0 0 06 Feb 2025
M(otion)-mode Based Prediction of Ejection Fraction using Echocardiograms Ece Ozkan Thomas M. Sutter Yurong Hu S. Balzer Julia E. Vogt 9 0 0 07 Sep 2023
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems Cara Van Uden Jeremy Irvin Mars Huang N. Dean J. Carr A. Ng C. Langlotz OOD 14 1 0 13 May 2023
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis Soumitri Chattopadhyay Soham Ganguly Sreejit Chaudhury Sayan Nag S. Chattopadhyay 19 1 0 03 Mar 2023
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 11 1 0 21 Feb 2023
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis Linhao Qu Siyu Liu Xiaoyu Liu Manning Wang Zhijian Song 10 56 0 18 Aug 2022
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction Anuroop Sriram Matthew Muckley Koustuv Sinha Farah E. Shamout Joelle Pineau Krzysztof J. Geras Lea Azour Y. Aphinyanaphongs N. Yakubova W. Moore MedIm 124 63 0 13 Jan 2021
Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation José Morano Álvaro S. Hervella N. Barreira Jorge Novo J. Rouco 69 10 0 18 Dec 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy A. Smeaton SSL AI4TS 146 670 0 10 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 229 3,029 0 09 Mar 2020