MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models

11 October 2020

Papers citing "MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models"

50 / 57 papers shown

Title
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning Azad Singh Deepak Mishra SSL 42 1 0 08 Aug 2024
Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference Catherine Huang Martin Pawelczyk Himabindu Lakkaraju AAML 21 1 0 24 Jul 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models Ruinan Jin Zikang Xu Yuan Zhong Qiongsong Yao Qi Dou S. Kevin Zhou Xiaoxiao Li VLM 32 12 0 01 Jul 2024
Improving Medical Multi-modal Contrastive Learning with Expert Annotations Yogesh Kumar Pekka Marttinen MedIm VLM 31 10 0 15 Mar 2024
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy Bashir Kazimi Karina Ruzaeva Stefan Sandfeld 39 4 0 28 Feb 2024
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels Dana Cohen Hochberg H. Greenspan Raja Giryes 29 11 0 26 Dec 2023
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis Zihao Zhao Sheng Wang Qian Wang Dinggang Shen MedIm 33 5 0 11 Dec 2023
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains Yuwen Chen Helen Zhou Zachary Chase Lipton 24 1 0 15 Nov 2023
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis Ece Ozkan Xavier Boix OOD 28 0 0 10 Oct 2023
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images Yanru Chen Michael T Lu V. Raghu SSL 24 0 0 15 Jun 2023
Automatic retrieval of corresponding US views in longitudinal examinations H. Kerdegari Tran Huy Nhat Phung1 Van Hao Nguyen Thi Phuong Thao Truong Ngoc Minh Thu Le ... Reza Razavi L. Thwaites S. Yacoub A. King Alberto Gómez 19 0 0 07 Jun 2023
Clinically Labeled Contrastive Learning for OCT Biomarker Classification Kiran Kokilepersaud Stephanie Trejo Corona Mohit Prabhushankar Ghassan Al-Regib C. Wykoff 20 13 0 24 May 2023
Learning Better Contrastive View from Radiologist's Gaze Sheng Wang Zixu Zhuang Xi Ouyang Lichi Zhang Zheren Li Chong Ma Tianming Liu Dinggang Shen Qian Wang MedIm 33 2 0 15 May 2023
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 29 1 0 13 May 2023
MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation Léo Milecki Vicky Kalogeiton Sylvain Bodard D. Anglicheau J. Correas M. Timsit Maria Vakalopoulou MedIm 14 4 0 22 Mar 2023
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis Soumitri Chattopadhyay Soham Ganguly Sreejit Chaudhury Sayan Nag S. Chattopadhyay 33 1 0 03 Mar 2023
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 25 1 0 21 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang E. Ahn Da-wei Feng Jinman Kim MedIm 27 27 0 10 Feb 2023
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning Yixiong Chen Chunhui Zhang C. Ding Li Liu 34 14 0 08 Dec 2022
A Trustworthy Framework for Medical Image Analysis with Deep Learning Kai Ma Siyuan He Pengcheng Xi Ashkan Ebadi Stéphane Tremblay Alexander Wong MedIm 27 1 0 06 Dec 2022
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 30 2 0 03 Dec 2022
Can we Adopt Self-supervised Pretraining for Chest X-Rays? Arsh Verma Makarand Tapaswi SSL 25 3 0 23 Nov 2022
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 39 5 0 16 Nov 2022
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation Yejia Zhang Xinrong Hu Nishchal Sapkota Yiyu Shi Da Chen SSL 25 3 0 15 Nov 2022
Self-Supervised Pretraining for 2D Medical Image Segmentation András Kalapos Bálint Gyires-Tóth 14 30 0 01 Sep 2022
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models Minha Alam R. Yamashita Vignav Ramesh Tejas S. Prabhune Jennifer I. Lim R. Chan J. Hallak T. Leng D. Rubin 15 11 0 24 Aug 2022
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound Zeyu Fu Jianbo Jiao R. Yasrab L. Drukker A. Papageorghiou J. A. Noble 21 15 0 22 Aug 2022
BYOLMed3D: Self-Supervised Representation Learning of Medical Videos using Gradient Accumulation Assisted 3D BYOL Framework Siladittya Manna Rakesh Dey Souvik Chakraborty SSL 16 0 0 31 Jul 2022
From Labels to Priors in Capsule Endoscopy: A Prior Guided Approach for Improving Generalization with Few Labels Anuja Vats A. Mohammed Marius Pedersen OOD 11 7 0 10 Jun 2022
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
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
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning Weicheng Zhu C. Fernandez‐Granda N. Razavian SSL 16 4 0 23 Mar 2022
Self-Supervision and Multi-Task Learning: Challenges in Fine-Grained COVID-19 Multi-Class Classification from Chest X-rays Muhammad Ridzuan A. Bawazir Ivo Gollini Navarette Ibrahim Almakky Mohammad Yaqub SSL 45 7 0 16 Jan 2022
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications Siyuan He Pengcheng Xi Ashkan Ebadi Stéphane Tremblay Alexander Wong OOD 39 6 0 14 Dec 2021
Joint Learning of Localized Representations from Medical Images and Reports Philipp Muller Georgios Kaissis Cong Zou Daniel Munich 137 81 0 06 Dec 2021
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer Moein Sorkhei Yue Liu Hossein Azizpour E. Azavedo Karin Dembrower Dimitra Ntoula Athanasios Zouzos Fredrik Strand Kevin Smith 13 8 0 02 Dec 2021
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 25 39 0 21 Nov 2021
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 Aakash Kaku Sahana Upadhya N. Razavian SSL 21 29 0 27 Oct 2021
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata Ajay Jaiswal Tianhao Li Cyprian Zander Yan Han Justin F. Rousseau Yifan Peng Ying Ding 36 14 0 27 Oct 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 37 176 0 17 Sep 2021
Federated Contrastive Learning for Decentralized Unlabeled Medical Images Nanqing Dong Irina Voiculescu FedML 22 62 0 15 Sep 2021
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 63 85 0 09 Sep 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 42 45 0 23 Aug 2021
Unsupervised Local Discrimination for Medical Images Huai Chen Renzhen Wang Xiuying Wang Jieyu Li Qu Fang Hui Li Jianhao Bai Qing Peng Deyu Meng Lisheng Wang SSL 20 7 0 21 Aug 2021
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
Towards to Robust and Generalized Medical Image Segmentation Framework Yurong Chen OOD 33 3 0 09 Aug 2021
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 17 6 0 25 Jun 2021
Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey Changhee Han Takayuki Okamoto Koichi Takeuchi Dimitris Katsios Andrey Grushnikov Masaaki Kobayashi Antoine Choppin Yuta Kurashina Yuki Shimahara 14 2 0 02 Jun 2021
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