ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.05224
  4. Cited By
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
ArXivPDFHTML

Papers citing "Big Self-Supervised Models Advance Medical Image Classification"

50 / 255 papers shown
Title
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Tom Gedeon
OOD
30
36
0
20 May 2022
Robust and Efficient Medical Imaging with Self-Supervision
Robust and Efficient Medical Imaging with Self-Supervision
Shekoofeh Azizi
Laura J. Culp
Jan Freyberg
Basil Mustafa
Sebastien Baur
...
Geoffrey E. Hinton
N. Houlsby
Alan Karthikesalingam
Mohammad Norouzi
Vivek Natarajan
OOD
71
58
0
19 May 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data
  Heterogeneity in Medical Imaging
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan
Liangqiong Qu
Qingyue Wei
Shih-Cheng Huang
Liyue Shen
D. Rubin
Lei Xing
Yuyin Zhou
FedML
78
90
0
17 May 2022
Self-Supervised Anomaly Detection in Computer Vision and Beyond: A
  Survey and Outlook
Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook
H. Hojjati
Thi Kieu Khanh Ho
Narges Armanfard
29
34
0
10 May 2022
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest
  Radiographs
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs
Junya Sato
Yuki Suzuki
T. Wataya
Daiki Nishigaki
Kosuke Kita
Kazuki Yamagata
Noriyuki Tomiyama
Shoji Kido
18
14
0
09 May 2022
Resource-efficient domain adaptive pre-training for medical images
Resource-efficient domain adaptive pre-training for medical images
Y. Mehmood
U. I. Bajwa
Xianfang Sun
22
1
0
28 Apr 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
21
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
24
11
0
20 Apr 2022
Self Supervised Lesion Recognition For Breast Ultrasound Diagnosis
Self Supervised Lesion Recognition For Breast Ultrasound Diagnosis
Yuanfan Guo
Canqian Yang
Tiancheng Lin
Chunxiao Li
Rui Zhang
Yi Xu
18
5
0
18 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
15
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
44
179
0
28 Mar 2022
Contrastive Graph Learning for Population-based fMRI Classification
Contrastive Graph Learning for Population-based fMRI Classification
Xuesong Wang
Lina Yao
I. Rekik
Yu Zhang
33
9
0
26 Mar 2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis
  and Prognosis: A Review
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
C. Cui
Haichun Yang
Yaohong Wang
Shilin Zhao
Zuhayr Asad
Lori A. Coburn
K. Wilson
Bennett A. Landman
Yuankai Huo
28
94
0
25 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
33
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
36
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
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
Fahad Shahbaz Khan
Huazhu Fu
ViT
LM&MA
MedIm
111
663
0
24 Jan 2022
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI
  Scans using Deep Learning Models?
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?
Numan Saeed
Shahad Hardan
Kudaibergen Abutalip
Mohammad Yaqub
13
16
0
16 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
32
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
Extending the WILDS Benchmark for Unsupervised Adaptation
Extending the WILDS Benchmark for Unsupervised Adaptation
Shiori Sagawa
Pang Wei Koh
Tony Lee
Irena Gao
Sang Michael Xie
...
Kate Saenko
Tatsunori Hashimoto
Sergey Levine
Chelsea Finn
Percy Liang
OOD
18
98
0
09 Dec 2021
Annotation-efficient cancer detection with report-guided lesion
  annotation for deep learning-based prostate cancer detection in bpMRI
Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI
Joeran S. Bosma
A. Saha
M. Hosseinzadeh
Ivan Slootweg
Maarten de Rooij
Henkjan Huisman
32
29
0
09 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
42
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
41
19
0
23 Nov 2021
Domain Generalization for Mammography Detection via Multi-style and
  Multi-view Contrastive Learning
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
Zheren Li
Zhiming Cui
Sheng Wang
Yuji Qi
Xi Ouyang
Qitian Chen
Yuezhi Yang
Zhong Xue
D. Shen
Jie-Zhi Cheng
OOD
MedIm
30
39
0
21 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
18
6
0
10 Nov 2021
Meta-Learning to Improve Pre-Training
Meta-Learning to Improve Pre-Training
Aniruddh Raghu
Jonathan Lorraine
Simon Kornblith
Matthew B. A. McDermott
David Duvenaud
21
30
0
02 Nov 2021
Deep AUC Maximization for Medical Image Classification: Challenges and
  Opportunities
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities
Tianbao Yang
30
3
0
01 Nov 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised
  Learning
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku
Sahana Upadhya
N. Razavian
SSL
21
29
0
27 Oct 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
176
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
42
45
0
23 Aug 2021
Is it Time to Replace CNNs with Transformers for Medical Images?
Is it Time to Replace CNNs with Transformers for Medical Images?
Christos Matsoukas
Johan Fredin Haslum
Magnus P Soderberg
Kevin Smith
ViT
OOD
MedIm
13
146
0
20 Aug 2021
MVCNet: Multiview Contrastive Network for Unsupervised Representation
  Learning for 3D CT Lesions
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions
Penghua Zhai
Huaiwei Cong
Gangming Zhao
Chaowei Fang
Jinpeng Li
Ting Cai
Huiguang He
27
10
0
17 Aug 2021
Improving Self-supervised Learning with Hardness-aware Dynamic
  Curriculum Learning: An Application to Digital Pathology
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology
C. Srinidhi
Anne L. Martel
36
22
0
16 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
20
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
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and
  Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images
Mehdi Cherti
J. Jitsev
LM&MA
22
23
0
31 May 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
572
0
27 May 2021
Do We Really Need to Learn Representations from In-domain Data for
  Outlier Detection?
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?
Zhisheng Xiao
Qing Yan
Y. Amit
OOD
UQCV
20
18
0
19 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
184
689
0
22 Apr 2021
Patient Contrastive Learning: a Performant, Expressive, and Practical
  Approach to ECG Modeling
Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling
N. Diamant
Erik Reinertsen
S. Song
Aaron D Aguirre
Collin M. Stultz
P. Batra
29
40
0
09 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting
  the Long-Tail of Unseen Conditions
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Abhijit Guha Roy
Jie Jessie Ren
Shekoofeh Azizi
Aaron Loh
Vivek Natarajan
...
Yun-Hui Liu
taylan. cemgil
Alan Karthikesalingam
Balaji Lakshminarayanan
Jim Winkens
18
104
0
08 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
SimTriplet: Simple Triplet Representation Learning with a Single GPU
SimTriplet: Simple Triplet Representation Learning with a Single GPU
Quan Liu
Peter C. Louis
Yuzhe Lu
Aadarsh Jha
Mengyang Zhao
...
Joseph T. Roland
Haichun Yang
Shilin Zhao
L. Wheless
Yuankai Huo
20
36
0
09 Mar 2021
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Hongwei Bran Li
Fei-Fei Xue
K. Chaitanya
Shengda Liu
Ivan Ezhov
Benedikt Wiestler
Jianguo Zhang
Bjoern H. Menze
SSL
10
25
0
06 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
21
81
0
21 Feb 2021
Previous
123456
Next