A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images

5 September 2023

Alexander Wong

Papers citing "A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images"

50 / 58 papers shown

Title
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels Dana Cohen Hochberg H. Greenspan Raja Giryes 71 12 0 26 Dec 2023
Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining Soumen Basu Somanshu Singla Mayank Gupta Pratyaksha Rana Pankaj Gupta Chetan Arora AI4TS 51 13 0 26 Jul 2022
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease Mehmet Saygin Seyfiouglu Zixuan Liu Pranav Kamath Sadjyot Gangolli Sheng Wang T. Grabowski Linda G. Shapiro MedIm 86 15 0 11 Jul 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods Randall Balestriero Yann LeCun SSL 87 135 0 23 May 2022
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection Chuang Niu Ge Wang ViT MedIm 79 37 0 30 Apr 2022
Federated Contrastive Learning for Volumetric Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 75 59 0 23 Apr 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis F. Haghighi M. Taher Michael B. Gotway Jianming Liang MedIm 85 72 0 21 Apr 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 101 7 0 16 Jan 2022
Contrastive Pretraining for Echocardiography Segmentation with Limited Data M. Saeed Rand Muhtaseb Mohammad Yaqub 61 25 0 16 Jan 2022
Learning Personal Representations from fMRIby Predicting Neurofeedback Performance Jhonathan Osin L. Wolf G. Gurevitch Nimrod Jakob Keynan Tom Fruchtman-Steinbok A. Or-Borichev Shira Reznik Balter Talma Hendler 35 6 0 06 Dec 2021
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 121 536 0 29 Nov 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 96 185 0 17 Sep 2021
Federated Contrastive Learning for Decentralized Unlabeled Medical Images Nanqing Dong Irina Voiculescu FedML 52 62 0 15 Sep 2021
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection N. Islam S. Gehlot Zongwei Zhou Michael B. Gotway Jianming Liang OOD 146 11 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 96 87 0 09 Sep 2021
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment Zhanghexuan Ji Mohammad Abuzar Shaikh Dana Moukheiber S. Srihari Yifan Peng Mingchen Gao SSL 64 21 0 04 Sep 2021
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 49 10 0 17 Aug 2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation Hao Zheng Jun Han Hongxiao Wang Lin Yang Zhuo Zhao Chaoli Wang Danny Chen 61 23 0 10 Jul 2021
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification Benoit Dufumier Pietro Gori J. Victor Antoine Grigis M. Wessa ... P. Favre M. Polosan C. Mcdonald C. Piguet Edouard Duchesnay SSL 53 68 0 16 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Jeff Z. HaoChen Colin Wei Adrien Gaidon Tengyu Ma SSL 77 321 0 08 Jun 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 153 944 0 11 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 706 6,121 0 29 Apr 2021
Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding Ananya Jana Hui Qu Carlos D Minacapelli C. Catalano V. Rustgi Dimitris N. Metaxas MedIm 35 8 0 05 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 344 2,362 0 04 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray classification Matej Gazda J. Gazda J. Plávka P. Drotár SSL 127 56 0 04 Mar 2021
Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography F. Dezaki C. Luong T. Ginsberg R. Rohling K. Gin Purang Abolmaesumi T. Tsang 49 15 0 03 Feb 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 112 518 0 13 Jan 2021
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning Yan Han Chongyan Chen Ahmed H. Tewfik Ying Ding Yifan Peng LM&MA 70 39 0 12 Jan 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,072 0 20 Nov 2020
Targeted Self Supervision for Classification on a Small COVID-19 CT Scan Dataset Nicolas Ewen N. Khan 30 28 0 20 Nov 2020
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation Xiaoman Zhang Shixiang Feng Yuhang Zhou Ya Zhang Yanfeng Wang 53 17 0 13 Oct 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chen Chen Turkay Kart Huaqi Qiu Daniel Rueckert 86 210 0 20 Jul 2020
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation Xing Tao Yuexiang Li Wenhui Zhou Kai Ma Yefeng Zheng 61 68 0 17 Jul 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations Hong-Yu Zhou Shuang Yu Cheng Bian Yifan Hu Kai Ma Yefeng Zheng SSL MedIm 61 105 0 15 Jul 2020
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 73 65 0 14 Jul 2020
Region-of-interest guided Supervoxel Inpainting for Self-supervision Subhradeep Kayal Shuai Chen Marleen de Bruijne SSL 37 9 0 26 Jun 2020
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection Asmaa Abbas M. Abdelsamea M. Gaber OOD ViT 52 64 0 26 Jun 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 86 552 0 18 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 389 6,837 0 13 Jun 2020
3D Self-Supervised Methods for Medical Imaging Aiham Taleb W. Loetzsch Noel Danz Julius Severin Thomas Gaertner Benjamin Bergner C. Lippert SSL 98 214 0 06 Jun 2020
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS) Jannis Born G. Brändle M. Cossio Marion Disdier Julie Goulet Jérémie Roulin Nina Wiedemann OOD 78 149 0 25 Apr 2020
COVID-CT-Dataset: A CT Scan Dataset about COVID-19 Xingyi Yang Xuehai He Jinyu Zhao Yichen Zhang Shanghang Zhang P. Xie 91 847 0 30 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 486 3,443 0 09 Mar 2020
Self-supervised Representation Learning for Ultrasound Video Jianbo Jiao Richard Droste L. Drukker A. Papageorghiou J. A. Noble SSL 39 52 0 28 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,859 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 210 12,121 0 13 Nov 2019
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube Xinrui Zhuang Yuexiang Li Yifan Hu Kai Ma Yujiu Yang Yefeng Zheng SSL 66 150 0 05 Oct 2019
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction Wenjia Bai Chen Chen G. Tarroni Jinming Duan Florian Guitton S. Petersen Yike Guo Paul M. Matthews Daniel Rueckert SSL 57 181 0 05 Jul 2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge Hugo J. Kuijf J. M. Biesbroek J. de Bresser R. Heinen Simon Andermatt ... Christopher P L H Chen W. M. van der Flier F. Barkhof M. Viergever G. Biessels 61 256 0 01 Apr 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 117 862 0 25 Feb 2019