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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"

50 / 76 papers shown
Title
RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction
RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction
Aiman Farooq
Azad Singh
Deepak Mishra
S. Chaudhury
32
0
0
05 May 2025
SVD Based Least Squares for X-Ray Pneumonia Classification Using Deep Features
SVD Based Least Squares for X-Ray Pneumonia Classification Using Deep Features
Mete Erdogan
Sebnem Demirtas
44
0
0
29 Apr 2025
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
Yihang Liu
Lianghua He
Y. Wen
Longzhen Yang
Hongzhou Chen
MedIm
34
0
0
15 Apr 2025
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
Julio Silva-Rodríguez
Jose Dolz
Ismail ben Ayed
VLM
MedIm
31
0
0
07 Apr 2025
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction
H. Q. Vo
Pengyu Yuan
Zheng Yin
Kelvin K. Wong
Chika F. Ezeana
S. Ly
Stephen T. C. Wong
H. Nguyen
43
0
0
10 Mar 2025
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
Ashish Verma
Aupendu Kar
Krishnendu Ghosh
S. K. Dhara
Debashis Sen
P. Biswas
MedIm
44
0
0
01 Mar 2025
Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models
Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models
Zhaoyi Liu
Huan Zhang
AAML
77
0
0
25 Feb 2025
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies
C. Ciușdel
Alex Serban
Tiziano Passerini
CoGe
69
1
0
03 Feb 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Alan L. Yuille
Zongwei Zhou
MedIm
43
8
0
20 Jan 2025
Robust image representations with counterfactual contrastive learning
Robust image representations with counterfactual contrastive learning
Mélanie Roschewitz
Fabio De Sousa Ribeiro
Tian Xia
G. Khara
Ben Glocker
OOD
MedIm
47
2
0
16 Sep 2024
AnatoMask: Enhancing Medical Image Segmentation with
  Reconstruction-guided Self-masking
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking
Yuheng Li
Tianyu Luan
Yizhou Wu
Shaoyan Pan
Yenho Chen
Xiaofeng Yang
37
4
0
09 Jul 2024
Self-supervised Learning via Cluster Distance Prediction for Operating
  Room Context Awareness
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness
Idris Hamoud
Alexandros Karargyris
Aidean Sharghi
Omid Mohareri
N. Padoy
SSL
28
1
0
07 Jul 2024
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Amin Karimi Monsefi
Payam Karisani
Mengxi Zhou
Stacey S. Choi
Nathan Doble
Heng Ji
Srinivasan Parthasarathy
R. Ramnath
41
5
0
09 Feb 2024
A Study on Self-Supervised Pretraining for Vision Problems in
  Gastrointestinal Endoscopy
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy
Edward Sanderson
B. Matuszewski
23
2
0
11 Jan 2024
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease
  Progression from Longitudinal OCTs
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs
T. Emre
A. Chakravarty
Antoine Rivail
Dmitrii Lachinov
Oliver Leingang
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
MedIm
27
3
0
28 Dec 2023
A Self Supervised StyleGAN for Image Annotation and Classification with
  Extremely Limited Labels
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
Dana Cohen Hochberg
H. Greenspan
Raja Giryes
27
11
0
26 Dec 2023
Echocardiogram Foundation Model -- Application 1: Estimating Ejection
  Fraction
Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction
Adil Dahlan
C. Zakka
Abhinav Kumar
Laura Tang
R. Shad
R. Fong
W. Hiesinger
27
2
0
21 Nov 2023
Rotation-Agnostic Image Representation Learning for Digital Pathology
Rotation-Agnostic Image Representation Learning for Digital Pathology
Saghir Alfasly
A. Shafique
Peyman Nejat
Jibran A. Khan
Areej Alsaafin
Ghazal Alabtah
H. R. Tizhoosh
MedIm
24
6
0
14 Nov 2023
Multi-domain improves out-of-distribution and data-limited scenarios for
  medical image analysis
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis
Ece Ozkan
Xavier Boix
OOD
25
0
0
10 Oct 2023
Context-Aware Self-Supervised Learning of Whole Slide Images
Context-Aware Self-Supervised Learning of Whole Slide Images
Milan Aryal
Nasim Yahya Soltani
16
5
0
07 Jun 2023
Physics-Informed Computer Vision: A Review and Perspectives
Physics-Informed Computer Vision: A Review and Perspectives
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINN
AI4CE
34
28
0
29 May 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed
  Opportunity
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
Raman Dutt
Linus Ericsson
Pedro Sanchez
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
22
50
0
14 May 2023
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer
  to Novel Tasks and Healthcare Systems
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
24
1
0
13 May 2023
Medical supervised masked autoencoders: Crafting a better masking
  strategy and efficient fine-tuning schedule for medical image classification
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification
Jia-ju Mao
Shu-Hua Guo
Yuan Chang
Xuesong Yin
Binling Nie
26
2
0
10 May 2023
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD
  Progression from OCT
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT
A. Chakravarty
T. Emre
Oliver Leingang
Sophie Riedl
Julia Mai
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
28
1
0
17 Apr 2023
Semi-Supervised Relational Contrastive Learning
Semi-Supervised Relational Contrastive Learning
Attiano Purpura-Pontoniere
D. Terzopoulos
Adam S. Wang
A. Imran
SSL
12
1
0
11 Apr 2023
Exploring the Utility of Self-Supervised Pretraining Strategies for the
  Detection of Absent Lung Sliding in M-Mode Lung Ultrasound
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound
Blake Vanberlo
Brian Li
Alexander Wong
Jesse Hoey
R. Arntfield
13
4
0
05 Apr 2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and
  Imaging Data
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data
Paul Hager
M. Menten
Daniel Rueckert
26
47
0
24 Mar 2023
A Dual-branch Self-supervised Representation Learning Framework for
  Tumour Segmentation in Whole Slide Images
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images
Hao Wang
E. Ahn
Jinman Kim
28
7
0
20 Mar 2023
Pretrained ViTs Yield Versatile Representations For Medical Images
Pretrained ViTs Yield Versatile Representations For Medical Images
Christos Matsoukas
Johan Fredin Haslum
Magnus P Soderberg
Kevin Smith
MedIm
ViT
19
11
0
13 Mar 2023
Exploring Self-Supervised Representation Learning For Low-Resource
  Medical Image Analysis
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis
Soumitri Chattopadhyay
Soham Ganguly
Sreejit Chaudhury
Sayan Nag
S. Chattopadhyay
28
1
0
03 Mar 2023
Amortised Invariance Learning for Contrastive Self-Supervision
Amortised Invariance Learning for Contrastive Self-Supervision
Ruchika Chavhan
H. Gouk
Jan Stuehmer
Calum Heggan
Mehrdad Yaghoobi
Timothy M. Hospedales
SSL
35
11
0
24 Feb 2023
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
17
1
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 Images
Wei-Chien Wang
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
24
27
0
10 Feb 2023
Cross-Architectural Positive Pairs improve the effectiveness of
  Self-Supervised Learning
Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning
P. Singh
Jacopo Cirrone
SSL
40
0
0
27 Jan 2023
Self-supervised Learning for Segmentation and Quantification of Dopamine
  Neurons in Parkinson's Disease
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease
F. Haghighi
Soumitra Ghosh
Hai Ngu
Sarah Chu
Han Lin
Mohsen Hejrati
Baris Bingol
Somaye Hashemifar
16
2
0
11 Jan 2023
PCRLv2: A Unified Visual Information Preservation Framework for
  Self-supervised Pre-training in Medical Image Analysis
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis
Hong-Yu Zhou
Chi-Ken Lu
Chaoqi Chen
Sibei Yang
Yizhou Yu
42
53
0
02 Jan 2023
Universal Object Detection with Large Vision Model
Universal Object Detection with Large Vision Model
Feng-Huei Lin
Wenze Hu
Yaowei Wang
Yonghong Tian
Guangming Lu
Fanglin Chen
Yong-mei Xu
Xiaoyu Wang
VLM
ObjD
32
8
0
19 Dec 2022
Boosting Automatic COVID-19 Detection Performance with Self-Supervised
  Learning and Batch Knowledge Ensembling
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
SSL
25
8
0
19 Dec 2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised
  Representation: Applications on Natural and Medical Images
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images
Hongwei Bran Li
Chinmay Prabhakar
Suprosanna Shit
Johannes C. Paetzold
Tamaz Amiranashvili
Jianguo Zhang
Daniel Rueckert
Juan Eugenio Iglesias
Benedikt Wiestler
Bjoern H. Menze
OOD
SSL
25
2
0
03 Dec 2022
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis
Sein Kim
Namkyeong Lee
Junseok Lee
Dongmin Hyun
Chanyoung Park
19
24
0
28 Nov 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training
  Towards Enhanced Recognition of Biomedical Microscopy Images
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images
Wei Chen
Chen Li
Dan Chen
Xin Luo
MedIm
SSL
30
12
0
27 Nov 2022
Can we Adopt Self-supervised Pretraining for Chest X-Rays?
Can we Adopt Self-supervised Pretraining for Chest X-Rays?
Arsh Verma
Makarand Tapaswi
SSL
25
3
0
23 Nov 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Marc Fischer
Alexander Bartler
Bin Yang
SSeg
14
18
0
16 Nov 2022
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive
  Learning with Spatial Priors in 3D Radiology Images
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images
Yejia Zhang
Nishchal Sapkota
Pengfei Gu
Yao Peng
Hao Zheng
Da Chen
31
5
0
16 Nov 2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic
  Retinopathy Grading
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading
Yijin Huang
Junyan Lyu
Pujin Cheng
Roger Tam
Xiaoying Tang
ViT
MedIm
19
19
0
20 Oct 2022
Multiple Instance Learning via Iterative Self-Paced Supervised
  Contrastive Learning
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
Kangning Liu
Weicheng Zhu
Yiqiu Shen
Sheng Liu
N. Razavian
Krzysztof J. Geras
C. Fernandez‐Granda
SSL
28
24
0
17 Oct 2022
Matching Multiple Perspectives for Efficient Representation Learning
Matching Multiple Perspectives for Efficient Representation Learning
Omiros Pantazis
M. Salvaris
SSL
28
0
0
16 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
11
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
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