Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction

5 July 2019

Papers citing "Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction"

30 / 80 papers shown

Title
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation Chenyu You Yuan Zhou Ruihan Zhao Lawrence H. Staib James S. Duncan 133 229 0 13 Aug 2021
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation Euijoon Ahn Dagan Feng Jinman Kim 59 27 0 11 Jul 2021
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives Yinzhe Wu Zeyu Tang Binghuan Li D. Firmin Guang Yang 62 41 0 28 Jun 2021
Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences Zejian Chen Wei Zhuo Tianfu Wang Wufeng Xue Dong Ni 101 6 0 23 Jun 2021
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis Levy G. Chaves Alceu Bissoto Eduardo Valle Sandra Avila 88 15 0 17 Jun 2021
Understand and Improve Contrastive Learning Methods for Visual Representation: A Review Ran Liu SSL 62 12 0 06 Jun 2021
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation Ho Hin Lee Yucheng Tang Qi Yang Xin Yu Shunxing Bao L. Cai Lucas W. Remedios Bennett A. Landman Yuankai Huo 56 8 0 03 Jun 2021
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations Dmitrii Shubin Danny Eytan Sebastian D. Goodfellow 48 1 0 28 May 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 136 611 0 27 May 2021
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation Chenyu You Ruihan Zhao Lawrence H. Staib James S. Duncan SSL 130 106 0 14 May 2021
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 95 107 0 21 Feb 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis C. Srinidhi Seung Wook Kim Fu-Der Chen Anne L. Martel SSL 101 111 0 07 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 121 520 0 13 Jan 2021
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation Kun Zhang Rui Wu Ping Yao Kai Deng Ding Li Renbiao Liu Chuanguang Yang Ge Chen Min Du Tianyao Zheng 3DH 46 1 0 13 Dec 2020
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images Li Sun Ke Yu Kayhan Batmanghelich SSL 90 24 0 11 Dec 2020
Annotation-efficient deep learning for automatic medical image segmentation Shanshan Wang Cheng Li Rongpin Wang Zaiyi Liu Meiyun Wang ... Xin Liu Jie Chen Hui-Chong Zhou Ismail Ben Ayed Hairong Zheng VLM MedIm 99 187 0 09 Dec 2020
Global Image Segmentation Process using Machine Learning algorithm & Convolution Neural Network method for Self- Driving Vehicles Tirumalapudi Raviteja I. S. R. Vedaraj SSeg 116 2 0 26 Oct 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models Hari Sowrirajan Jingbo Yang A. Ng Pranav Rajpurkar 108 86 0 11 Oct 2020
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran Ling Shao MedIm 64 46 0 05 Aug 2020
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis Xiaomeng Li M. Jia Md Tauhidul Islam Lequan Yu Lei Xing 78 110 0 21 Jul 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 104 210 0 20 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 81 65 0 14 Jul 2020
Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps Dwarikanath Mahapatra 47 12 0 04 Jul 2020
Unified Representation Learning for Efficient Medical Image Analysis Ghada Zamzmi S. Rajaraman Sameer Kiran Antani 25 17 0 19 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 95 553 0 18 Jun 2020
3D Self-Supervised Methods for Medical Imaging Aiham Taleb W. Loetzsch Noel Danz Julius Severin Thomas Gaertner Benjamin Bergner C. Lippert SSL 127 214 0 06 Jun 2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng Ann Heng 99 231 0 15 May 2020
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images Cheryl Sital T. Brosch Dominique Tio A. Raaijmakers J. Weese 31 4 0 17 Mar 2020
Deep learning for cardiac image segmentation: A review Chen Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 136 688 0 09 Nov 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 170 770 0 27 Aug 2019