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Contrastive learning of global and local features for medical image segmentation with limited annotations

18 June 2020

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Papers citing "Contrastive learning of global and local features for medical image segmentation with limited annotations"

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Title
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation Rayan Merghani Ahmed Adnan Iltaf Mohamed Elmanna Gang Zhao Hongliang Li Yue Du Bin Li Shoujun Zhou 418 0 0 07 Apr 2025
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation Yuexing Ding Jun Wang H. Lyu 196 0 0 17 Feb 2025
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning Liam Chalcroft Jenny Crinion Cathy J. Price John Ashburner 448 0 0 21 Jan 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan Yuille Zongwei Zhou MedIm 128 10 0 20 Jan 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition Ziyu Zhou Haozhe Luo M. Taher Jiaxuan Pang Xiaowei Ding Michael B. Gotway Jianming Liang MedIm 123 0 0 20 Jan 2025
Revisiting MAE pre-training for 3D medical image segmentation Tassilo Wald Constantin Ulrich Stanislav Lukyanenko Andrei Goncharov Alberto Paderno Leander Maerkisch Paul F. Jäger Paul F. Jäger Klaus Maier-Hein 82 2 0 30 Oct 2024
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 87 4 0 24 Apr 2024
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation De-Xing Huang Xiao-Hu Zhou Xiaoliang Xie Shiqi Liu Zhen-Qiu Feng Mei-Jiang Gui Hao Li Tian-Yu Xiang MedIm 70 2 0 22 Jan 2024
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 96 0 0 21 Sep 2023
Few-Shot Segmentation with Global and Local Contrastive Learning Weide Liu Zhonghua Wu Henghui Ding Fayao Liu Jie Lin Guosheng Lin Wei Zhou 87 24 0 11 Aug 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 486 3,433 0 09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 369 18,778 0 13 Feb 2020
Self-Supervised Learning of Video-Induced Visual Invariances Michael Tschannen Josip Djolonga Marvin Ritter Aravindh Mahendran Xiaohua Zhai N. Houlsby Sylvain Gelly Mario Lucic SSL 105 61 0 05 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 105 1,453 0 04 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 204 12,085 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 66 151 0 05 Oct 2019
On Mutual Information Maximization for Representation Learning Michael Tschannen Josip Djolonga Paul Kishan Rubenstein Sylvain Gelly Mario Lucic SSL 179 495 0 31 Jul 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 52 181 0 05 Jul 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 169 2,403 0 13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 189 1,475 0 03 Jun 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 133 1,429 0 22 May 2019
Data augmentation using learned transformations for one-shot medical image segmentation Amy Zhao Guha Balakrishnan F. Durand John Guttag Adrian Dalca OOD MedIm 70 399 0 25 Feb 2019
Semi-Supervised and Task-Driven Data Augmentation K. Chaitanya Neerav Karani Christian F. Baumgartner O. Donati Anton S. Becker E. Konukoglu MedIm 90 143 0 11 Feb 2019
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data Nima Tajbakhsh Yufei Hu Junli Cao Xingjian Yan Yi Xiao Yong Lu Jianming Liang Demetri Terzopoulos Xiaowei Ding 52 77 0 25 Jan 2019
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks Christopher Bowles Liang Chen Ricardo Guerrero P. Bentley R. Gunn A. Hammers D. A. Dickie M. V. Valdés Hernández Joanna M. Wardlaw Daniel Rueckert GAN MedIm 72 427 0 25 Oct 2018
Data Augmentation for Skin Lesion Analysis Fábio Perez C. N. Vasconcelos Sandra Avila Eduardo Valle MedIm 63 170 0 05 Sep 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 330 2,662 0 20 Aug 2018
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks Hoo-Chang Shin Neil A. Tenenholtz Jameson K. Rogers C. Schwarz M. Senjem J. Gunter Katherine P. Andriole Mark H. Michalski MedIm 108 541 0 26 Jul 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 320 10,302 0 10 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 179 3,458 0 05 May 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 258 3,290 0 21 Mar 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,764 0 25 Oct 2017
Multi-task Self-Supervised Visual Learning Carl Doersch Andrew Zisserman SSL 78 632 0 25 Aug 2017
Self-Supervised Learning for Spinal MRIs A. Jamaludin T. Kadir Andrew Zisserman SSL 66 77 0 01 Aug 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 148 2,734 0 13 Apr 2017
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Y. Zhang Phillip Isola Alexei A. Efros SSL DRL 70 668 0 29 Nov 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 185 2,560 0 07 Oct 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 227 8,688 0 15 Jun 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen BDL 85 1,113 0 14 Jun 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 67 5,297 0 25 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,623 0 06 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 174 2,980 0 30 Mar 2016
Colorful Image Colorization Richard Y. Zhang Phillip Isola Alexei A. Efros 135 3,530 0 28 Mar 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 137 3,057 0 18 Mar 2016
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 96 1,372 0 09 Jul 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 166 2,786 0 19 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,196 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Deep metric learning using Triplet network Elad Hoffer Nir Ailon SSL DML 195 1,998 0 20 Dec 2014