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DiRA: Discriminative, Restorative, and Adversarial Learning for
  Self-supervised Medical Image Analysis

DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis

21 April 2022
F. Haghighi
M. Taher
Michael B. Gotway
Jianming Liang
    MedIm
ArXivPDFHTML

Papers citing "DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis"

40 / 40 papers shown
Title
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training
Shuang Zeng
Lei Zhu
Xinliang Zhang
Hangzhou He
Yanye Lu
VLM
42
0
0
20 Apr 2025
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
Yang Yue
Yulin Wang
Chenxin Tao
Pan Liu
Shiji Song
Gao Huang
MedIm
24
0
0
18 Apr 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
Ziyu Zhou
Haozhe Luo
M. Taher
Jiaxuan Pang
Xiaowei Ding
Michael B. Gotway
Jianming Liang
MedIm
47
0
0
20 Jan 2025
Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
Linshan Wu
Jiaxin Zhuang
Hao Chen
37
5
0
13 Oct 2024
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation
  Learning
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning
Azad Singh
Deepak Mishra
SSL
34
1
0
08 Aug 2024
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for
  Histopathological Image Classification
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification
Weiping Ding
Tianyi Zhou
Jiashuang Huang
Shu Jiang
Tao Hou
Chin-Teng Lin
18
8
0
22 Jul 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
35
4
0
09 Jul 2024
EVA-X: A Foundation Model for General Chest X-ray Analysis with
  Self-supervised Learning
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
Jingfeng Yao
Xinggang Wang
Yuehao Song
Huangxuan Zhao
Jun Ma
Yajie Chen
Wenyu Liu
Bo Wang
ViT
34
5
0
08 May 2024
Representing Part-Whole Hierarchies in Foundation Models by Learning
  Localizability, Composability, and Decomposability from Anatomy via
  Self-Supervision
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
26
5
0
24 Apr 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
Jiaxin Zhuang
Linshan Wu
Qiong Wang
V. Vardhanabhuti
Lin Luo
Hao Chen
Hao Chen
49
4
0
24 Apr 2024
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray
  Self-Supervised Representation Learning
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
Azad Singh
Vandan Gorade
Deepak Mishra
SSL
22
2
0
18 Mar 2024
Learning Low-Rank Feature for Thorax Disease Classification
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel
Utkarsh Nath
Yancheng Wang
Alvin C. Silva
Teresa Wu
Yingzhen Yang
20
0
0
14 Feb 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
Self-supervised Learning of Dense Hierarchical Representations for
  Medical Image Segmentation
Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation
Eytan Kats
Jochen G. Hirsch
Mattias P. Heinrich
SSL
22
0
0
12 Jan 2024
SwiMDiff: Scene-wide Matching Contrastive Learning with Diffusion
  Constraint for Remote Sensing Image
SwiMDiff: Scene-wide Matching Contrastive Learning with Diffusion Constraint for Remote Sensing Image
Jiayuan Tian
Jie Lei
Jiaqing Zhang
Weiying Xie
Yunsong Li
26
12
0
10 Jan 2024
Continual Self-supervised Learning: Towards Universal Multi-modal
  Medical Data Representation Learning
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
Yiwen Ye
Yutong Xie
Jianpeng Zhang
Ziyang Chen
Qi Wu
Yong-quan Xia
CLL
34
14
0
29 Nov 2023
LT-ViT: A Vision Transformer for multi-label Chest X-ray classification
LT-ViT: A Vision Transformer for multi-label Chest X-ray classification
Umar Marikkar
Sara Atito
Muhammad Awais
Adam Mahdi
MedIm
ViT
35
8
0
13 Nov 2023
Towards Foundation Models Learned from Anatomy in Medical Imaging via
  Self-Supervision
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
19
11
0
27 Sep 2023
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
Shuang Zeng
Lei Zhu
Xinliang Zhang
Qian Chen
Hangzhou He
...
Zhaoheng Xie
Yanye Lu
Qiushi Ren
Zhaoheng Xie
Yanye Lu
25
0
0
21 Sep 2023
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image
  Translation for Histopathology Images
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images
Zhiyun Song
Penghui Du
Junpeng Yan
K. Li
Jianzhong Shou
Maode Lai
Yubo Fan
Yan Xu
24
7
0
14 Sep 2023
Self-Supervised Pretraining Improves Performance and Inference
  Efficiency in Multiple Lung Ultrasound Interpretation Tasks
Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks
Blake Vanberlo
Brian Li
Jesse Hoey
Alexander Wong
8
3
0
05 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic
  Tasks with Radiological Images
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
Blake Vanberlo
Jesse Hoey
Alexander Wong
SSL
LM&MA
16
2
0
05 Sep 2023
Self-supervised Semantic Segmentation: Consistency over Transformation
Self-supervised Semantic Segmentation: Consistency over Transformation
Sanaz Karimijafarbigloo
Reza Azad
A. Kazerouni
Yury Velichko
Ulas Bagci
Dorit Merhof
16
3
0
31 Aug 2023
Learning to Distill Global Representation for Sparse-View CT
Learning to Distill Global Representation for Sparse-View CT
Zilong Li
Chenglong Ma
Jie Chen
Junping Zhang
Hongming Shan
19
9
0
16 Aug 2023
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging
  Analysis
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis
Muhammad Osama Khan
Yi Fang
22
3
0
20 Jul 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
18
3
0
26 Jun 2023
Advancing Volumetric Medical Image Segmentation via Global-Local Masked
  Autoencoder
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder
Jiafan Zhuang
Luyang Luo
Hao Chen
20
10
0
15 Jun 2023
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image
  Segmentation
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
Wenxuan Wang
Jing Wang
C. L. P. Chen
Jianbo Jiao
Yuanxiu Cai
Shanshan Song
Jiangyun Li
MedIm
20
17
0
21 Apr 2023
SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial
  Expression Recognition in the Wild
SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild
Ji-Hee Moon
Seongsik Park
24
0
0
14 Mar 2023
Pyramid Pixel Context Adaption Network for Medical Image Classification
  with Supervised Contrastive Learning
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning
Xiaoqin Zhang
Zunjie Xiao
Xiao Wu
Jiansheng Fang
Junyong Shen
Yan Hu
Jiang-Dong Liu
24
10
0
03 Mar 2023
Anatomical Invariance Modeling and Semantic Alignment for
  Self-supervised Learning in 3D Medical Image Analysis
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis
Yankai Jiang
Ming Sun
Heng Guo
Xiaoyu Bai
K. Yan
Le Lu
Minfeng Xu
MedIm
29
20
0
11 Feb 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
11
2
0
11 Jan 2023
Masked autoencoders are effective solution to transformer data-hungry
Masked autoencoders are effective solution to transformer data-hungry
Jia-ju Mao
Honggu Zhou
Xuesong Yin
Binling Nie
MedIm
27
6
0
12 Dec 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
25
12
0
27 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease
  Classification
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Junfei Xiao
Yutong Bai
Alan Yuille
Zongwei Zhou
MedIm
ViT
30
59
0
23 Oct 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
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
Chuyan Zhang
Yun Gu
25
0
0
25 Sep 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
9
31
0
15 Apr 2022
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
61
85
0
09 Sep 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,367
0
09 Mar 2020
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