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Big Self-Supervised Models Advance Medical Image Classification

Big Self-Supervised Models Advance Medical Image Classification

13 January 2021
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
Jonathan Deaton
Aaron Loh
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
    SSL
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Papers citing "Big Self-Supervised Models Advance Medical Image Classification"

34 / 84 papers shown
Title
Matching Multiple Perspectives for Efficient Representation Learning
Matching Multiple Perspectives for Efficient Representation Learning
Omiros Pantazis
M. Salvaris
SSL
30
0
0
16 Aug 2022
Metadata-enhanced contrastive learning from retinal optical coherence
  tomography images
Metadata-enhanced contrastive learning from retinal optical coherence tomography images
R. Holland
Oliver Leingang
Hrvoje Bogunović
Sophie Riedl
L. Fritsche
...
U. Schmidt-Erfurth
S. Sivaprasad
A. Lotery
Daniel Rueckert
M. Menten
15
8
0
04 Aug 2022
Learning-Based Keypoint Registration for Fetoscopic Mosaicking
Learning-Based Keypoint Registration for Fetoscopic Mosaicking
Alessandro Casella
Sophia Bano
Francisco Vasconcelos
A. David
D. Paladini
Jan Deprest
Elena De Momi
L. Mattos
S. Moccia
Danail Stoyanov
13
3
0
26 Jul 2022
HyperNet: Self-Supervised Hyperspectral Spatial-Spectral Feature
  Understanding Network for Hyperspectral Change Detection
HyperNet: Self-Supervised Hyperspectral Spatial-Spectral Feature Understanding Network for Hyperspectral Change Detection
Meiqi Hu
Chen Wu
L. Zhang
SSL
26
57
0
20 Jul 2022
A clinically motivated self-supervised approach for content-based image
  retrieval of CT liver images
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
Kristoffer Wickstrøm
Eirik Agnalt Ostmo
Keyur Radiya
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
SSL
23
13
0
11 Jul 2022
Towards Galaxy Foundation Models with Hybrid Contrastive Learning
Towards Galaxy Foundation Models with Hybrid Contrastive Learning
Mike Walmsley
I. V. Slijepcevic
Micah Bowles
A. Scaife
VLM
40
15
0
23 Jun 2022
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data
  in Medical Image Analysis
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis
Marin Benvcević
Marija Habijan
Irena Galić
A. Pižurica
SSL
25
6
0
01 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
DiRA: Discriminative, Restorative, and Adversarial Learning for
  Self-supervised Medical Image Analysis
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
F. Haghighi
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
19
72
0
21 Apr 2022
Time-based Self-supervised Learning for Wireless Capsule Endoscopy
Time-based Self-supervised Learning for Wireless Capsule Endoscopy
Guillem Pascual
Pablo Laiz
A. García
Hagen Wenzek
Jordi Vitrià
Santi Seguí
22
11
0
20 Apr 2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning
  in Medical Imaging
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging
M. Taher
F. Haghighi
Michael B. Gotway
Jianming Liang
OOD
SSL
13
31
0
15 Apr 2022
AUC Maximization in the Era of Big Data and AI: A Survey
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang
Yiming Ying
33
178
0
28 Mar 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
24
19
0
15 Mar 2022
Temporal Context Matters: Enhancing Single Image Prediction with Disease
  Progression Representations
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
Aishik Konwer
Xuan Xu
Joseph Bae
Chaoyu Chen
Prateek Prasanna
MedIm
28
15
0
02 Mar 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Hao He
Kaiwen Zha
Dina Katabi
AAML
34
32
0
22 Feb 2022
Predicting Knee Osteoarthritis Progression from Structural MRI using
  Deep Learning
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning
E. Panfilov
S. Saarakkala
M. Nieminen
A. Tiulpin
MedIm
25
9
0
26 Jan 2022
Improved skin lesion recognition by a Self-Supervised Curricular Deep
  Learning approach
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach
Kirill Sirotkin
Marcos Escudero-Viñolo
Pablo Carballeira
Juan C. Sanmiguel
SSL
25
6
0
22 Dec 2021
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
21
25
0
10 Dec 2021
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
ViT
MedIm
36
517
0
29 Nov 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT
  Reconstruction
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction
Riccardo Barbano
Johannes Leuschner
Maximilian Schmidt
Alexander Denker
A. Hauptmann
Peter Maass
Bangti Jin
34
19
0
23 Nov 2021
Conditional Alignment and Uniformity for Contrastive Learning with
  Continuous Proxy Labels
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Benoit Dufumier
Pietro Gori
J. Victor
Antoine Grigis
Edouard Duchesnay
MedIm
16
6
0
10 Nov 2021
Deep AUC Maximization for Medical Image Classification: Challenges and
  Opportunities
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities
Tianbao Yang
27
3
0
01 Nov 2021
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
37
175
0
17 Sep 2021
How Transferable Are Self-supervised Features in Medical Image
  Classification Tasks?
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?
T. Truong
Sadegh Mohammadi
Matthias Lenga
39
45
0
23 Aug 2021
On the Robustness of Pretraining and Self-Supervision for a Deep
  Learning-based Analysis of Diabetic Retinopathy
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy
Vignesh Srinivasan
Nils Strodthoff
Jackie Ma
Alexander Binder
Klaus-Robert Muller
Wojciech Samek
OOD
10
6
0
25 Jun 2021
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
Levy G. Chaves
Alceu Bissoto
Eduardo Valle
Sandra Avila
27
15
0
17 Jun 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
570
0
27 May 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
179
686
0
22 Apr 2021
Contrastive Learning of Single-Cell Phenotypic Representations for
  Treatment Classification
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
A. Perakis
A. Gorji
Samriddhi Jain
K. Chaitanya
Simone Rizza
E. Konukoglu
SSL
21
33
0
30 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
25
105
0
23 Mar 2021
Self-supervised representation learning from 12-lead ECG data
Self-supervised representation learning from 12-lead ECG data
Temesgen Mehari
Nils Strodthoff
SSL
21
141
0
23 Mar 2021
MedAug: Contrastive learning leveraging patient metadata improves
  representations for chest X-ray interpretation
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
Yen Nhi Truong Vu
Richard Wang
N. Balachandar
Can Liu
A. Ng
Pranav Rajpurkar
13
81
0
21 Feb 2021
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
Dong Wang
Yuan Zhang
Kexin Zhang
Liwei Wang
81
119
0
20 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
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