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Dive into Self-Supervised Learning for Medical Image Analysis: Data,
  Models and Tasks

Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks

25 September 2022
Chuyan Zhang
Yun Gu
ArXivPDFHTML

Papers citing "Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks"

4 / 4 papers shown
Title
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
32
172
0
17 Sep 2021
Preservational Learning Improves Self-supervised Medical Image Models by
  Reconstructing Diverse Contexts
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts
Hong-Yu Zhou
Chi-Ken Lu
Sibei Yang
Xiaoguang Han
Yizhou Yu
SSL
CLL
58
85
0
09 Sep 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and
  Multi-Image Prediction
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
126
63
0
13 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
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