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Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

6 March 2021
Hongwei Bran Li
Fei-Fei Xue
K. Chaitanya
Shengda Liu
Ivan Ezhov
Benedikt Wiestler
Jianguo Zhang
Bjoern H. Menze
    SSL
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Papers citing "Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations"

9 / 9 papers shown
Title
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
32
27
0
10 Feb 2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised
  Medical Image Representations
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations
Chinmay Prabhakar
Hongwei Bran Li
Jiancheng Yang
Suprosana Shit
Benedikt Wiestler
Bjoern H. Menze
ViT
MedIm
39
11
0
18 Jan 2023
TINC: Temporally Informed Non-Contrastive Learning for Disease
  Progression Modeling in Retinal OCT Volumes
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes
T. Emre
A. Chakravarty
Antoine Rivail
Sophie Riedl
U. Schmidt-Erfurth
Hrvoje Bogunović
28
14
0
30 Jun 2022
Masked Image Modeling Advances 3D Medical Image Analysis
Masked Image Modeling Advances 3D Medical Image Analysis
Zekai Chen
Devansh Agarwal
Kshitij Aggarwal
Wiem Safta
Samit Hirawat
V. Sethuraman
Mariann Micsinai Balan
Kevin Brown
33
69
0
25 Apr 2022
Magnification Prior: A Self-Supervised Method for Learning
  Representations on Breast Cancer Histopathological Images
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Prakash Chandra Chhipa
Richa Upadhyay
G. Pihlgren
Rajkumar Saini
Seiichi Uchida
Marcus Liwicki
SSL
MedIm
33
19
0
15 Mar 2022
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
26
25
0
10 Dec 2021
BT-Unet: A self-supervised learning framework for biomedical image
  segmentation using Barlow Twins with U-Net models
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
Narinder Singh Punn
Sonali Agarwal
SSL
32
35
0
07 Dec 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
48
506
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
281
3,378
0
09 Mar 2020
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