ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.07344
  4. Cited By
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning
  in Medical Imaging

CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging

International Conference on Medical Imaging with Deep Learning (MIDL), 2022
15 April 2022
M. Taher
F. Haghighi
Michael B. Gotway
Jianming Liang
    OODSSL
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging"

16 / 16 papers shown
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation
  Learning
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation LearningInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Azad Singh
Deepak Mishra
SSL
232
4
0
08 Aug 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
282
13
0
24 Apr 2024
Thyroid ultrasound diagnosis improvement via multi-view self-supervised
  learning and two-stage pre-training
Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training
Jian Wang
Xin Yang
X. Jia
Wufeng Xue
Rusi Chen
...
Lian Liu
Yan Cao
Jianqiao Zhou
Dong Ni
Ning Gu
198
12
0
18 Feb 2024
Continual Self-supervised Learning: Towards Universal Multi-modal
  Medical Data Representation Learning
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation LearningComputer Vision and Pattern Recognition (CVPR), 2023
Yiwen Ye
Yutong Xie
Jianpeng Zhang
Ziyang Chen
Qi Wu
Yong-quan Xia
CLL
247
41
0
29 Nov 2023
FuseNet: Self-Supervised Dual-Path Network for Medical Image
  Segmentation
FuseNet: Self-Supervised Dual-Path Network for Medical Image SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Amirhossein Kazerouni
Sanaz Karimijafarbigloo
Reza Azad
Yury Velichko
Ulas Bagci
Dorit Merhof
249
2
0
22 Nov 2023
Keypoint-Augmented Self-Supervised Learning for Medical Image
  Segmentation with Limited Annotation
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited AnnotationNeural Information Processing Systems (NeurIPS), 2023
Zhangsihao Yang
Mengwei Ren
Kaize Ding
Guido Gerig
Yalin Wang
SSL
243
8
0
02 Oct 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
245
17
0
27 Sep 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
243
4
0
20 Jul 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical ImagesMachine Intelligence Research (MIR), 2023
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
595
38
0
10 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
188
2
0
11 Jan 2023
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 ImagesNeural Networks (NN), 2022
Wei Chen
Chen Li
Dan Chen
Xin Luo
MedImSSL
185
16
0
27 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease
  Classification
Delving into Masked Autoencoders for Multi-Label Thorax Disease ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Junfei Xiao
Yutong Bai
Alan Yuille
Zongwei Zhou
MedImViT
231
90
0
23 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
304
0
0
25 Sep 2022
Joint Debiased Representation and Image Clustering Learning with
  Self-Supervision
Joint Debiased Representation and Image Clustering Learning with Self-Supervision
Shun Zheng
JaeEun Nam
Emilio Dorigatti
B. Bischl
Shekoofeh Azizi
Mina Rezaei
SSL
135
0
0
14 Sep 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
231
69
0
19 May 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for
  Self-supervised Medical Image Analysis
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image AnalysisComputer Vision and Pattern Recognition (CVPR), 2022
F. Haghighi
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
276
81
0
21 Apr 2022
1