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"

50 / 80 papers shown

Title
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey Siteng Ma Honghui Du Yu An Jing Wang Qinqin Wang Haochang Wu Aonghus Lawlor Ruihai Dong 126 0 0 15 Apr 2025
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models Yichi Zhang Bohao Lv Le Xue Wenbo Zhang Yuchen Liu Yu Fu Yuan Cheng Yuan Qi VLM MedIm 86 0 0 28 Feb 2025
ISImed: A Framework for Self-Supervised Learning using Intrinsic Spatial Information in Medical Images Nabil Jabareen Dongsheng Yuan Sören Lukassen SSL 33 0 0 22 Oct 2024
Exploring Foundation Models in Remote Sensing Image Change Detection: A Comprehensive Survey Zihan Yu Tianxiao Li Yuxin Zhu Rongze Pan 78 1 0 10 Oct 2024
Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning Xinrong Hu Dewen Zeng Yawen Wu Xueyang Li Yiyu Shi ViT MedIm 75 0 0 12 Aug 2024
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review Moseli Motsóehli VLM 3DV 88 0 0 28 Jun 2024
PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis Jinhong Wang Tingting Chen Jintai Chen YiXuan Wu Yuyang Xu Danny Chen Haochao Ying Jian Wu MedIm 44 0 0 28 Mar 2024
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes Tianwei Zhang Dong Wei Mengmeng Zhua Shi Gu Yefeng Zheng SSL 62 0 0 25 Mar 2024
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation Hugo Figueiras Helena Aidos Nuno C. Garcia SSL 32 0 0 21 Feb 2024
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels Dana Cohen Hochberg H. Greenspan Raja Giryes 84 12 0 26 Dec 2023
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 93 12 0 10 Oct 2023
Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views Dong Wei Yawen Huang Donghuan Lu Yuexiang Li Yefeng Zheng 25 1 0 22 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images Blake Vanberlo Jesse Hoey Alexander Wong SSL LM&MA 91 2 0 05 Sep 2023
Sparse annotation strategies for segmentation of short axis cardiac MRI J. Stein Maxime Di Folco Julia A. Schnabel 57 1 0 24 Jul 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 43 0 0 07 Jun 2023
Additional Positive Enables Better Representation Learning for Medical Images Dewen Zeng Yawen Wu Xinrong Hu Xiaowei Xu Jingtong Hu Yiyu Shi SSL 72 1 0 31 May 2023
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging Jielin Qiu Peide Huang Makiya Nakashima Jae-Hyeok Lee Jiacheng Zhu ... Byung-Hak Kim Debbie Kwon Douglas Weber Ding Zhao David Chen SSL 70 6 0 16 Apr 2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data Paul Hager Martin J. Menten Daniel Rueckert 102 55 0 24 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 86 1 0 21 Feb 2023
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data Zhiyuan Li Hailong Li Anca L. Ralescu Jonathan R. Dillman N. Parikh Lili He 60 9 0 20 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang Euijoon Ahn Da-wei Feng Jinman Kim MedIm 130 29 0 10 Feb 2023
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation Ziyuan Zhao Fangcheng Zhou Kaixin Xu Zeng Zeng Cuntai Guan S Kevin Zhou OOD 100 45 0 05 Dec 2022
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning Saba Dadsetan Mohsen Hejrati Shandong Wu Somaye Hashemifar OOD 99 0 0 15 Nov 2022
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation Ho Hin Lee Yucheng Tang Han Liu Yubo Fan L. Cai Qi Yang Xin Yu Shunxing Bao Yuankai Huo Bennett A. Landman 75 1 0 16 Oct 2022
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks Chuyan Zhang Yun Gu 114 0 0 25 Sep 2022
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers Kevin Miao Akash Gokul Raghav Singh Suzanne Petryk Joseph E. Gonzalez Kurt Keutzer Trevor Darrell Colorado Reed ViT MedIm 65 6 0 07 Sep 2022
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images Mingzhi Shi Anagha Lokhande Mojtaba Sedigh Fazli Vishal Sharma Yu Tian ... Michael V. Boland Nazlee Zebardast D. Friedman Lucy Q. Shen Mengyu Wang MedIm 66 1 0 02 Sep 2022
Self-Supervised Endoscopic Image Key-Points Matching Manel Farhat Houda Chaabouni A. Ben-Hamadou 39 17 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 77 16 0 22 Aug 2022
Metadata-enhanced contrastive learning from retinal optical coherence tomography images R. Holland Oliver Leingang Hrvoje Bogunović Sophie Riedl L. Fritsche ... U. Schmidt-Erfurth S. Sivaprasad A. Lotery Daniel Rueckert Martin J. Menten 76 9 0 04 Aug 2022
Unsupervised pre-training of graph transformers on patient population graphs Chantal Pellegrini Nassir Navab Anees Kazi MedIm AI4CE 124 13 0 21 Jul 2022
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network Li Sun K. Yu Kayhan Batmanghelich SSL 49 1 0 06 Jul 2022
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View V. Zimmer A. Gómez E. Skelton Robert Wright G. Wheeler ... Jacqueline Matthew Bernhard Kainz Daniel Rueckert Joseph V. Hajnal Julia A. Schnabel 60 23 0 29 Jun 2022
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis Marin Benvcević Marija Habijan Irena Galić A. Pižurica SSL 37 6 0 01 Jun 2022
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI L. Umapathy Zhiyang Fu Rohit C. Philip Diego R. Martin M. Altbach A. Bilgin SSL 36 0 0 26 May 2022
Masked Image Modeling Advances 3D Medical Image Analysis Zekai Chen Devansh Agarwal Kshitij Aggarwal Wiem Safta Samit Hirawat V. Sethuraman Mariann Micsinai Balan Kevin Brown 81 72 0 25 Apr 2022
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis Mojtaba Bahrami Mahsa Ghorbani Nassir Navab SSL 21 1 0 25 Mar 2022
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels Stine Hansen Srishti Gautam Robert Jenssen Michael C. Kampffmeyer 143 91 0 03 Mar 2022
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation Jizong Peng Ping Wang M. Pedersoli Christian Desrosiers SSL 75 5 0 04 Feb 2022
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 83 133 0 17 Dec 2021
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics Aiham Taleb Matthias Kirchler Remo Monti C. Lippert SSL MedIm 75 58 0 26 Nov 2021
One-shot Weakly-Supervised Segmentation in Medical Images Wenhui Lei Q. Su Ran Gu Na Wang Xinglong Liu Guotai Wang Xiaofan Zhang Shaoting Zhang 53 2 0 21 Nov 2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation Dwarikanath Mahapatra SSL 63 6 0 01 Oct 2021
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization Turkay Kart Wenjia Bai Ben Glocker Daniel Rueckert 81 11 0 30 Sep 2021
Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views Dong Wei Kai Ma Yefeng Zheng 28 4 0 24 Sep 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 128 187 0 17 Sep 2021
Self-supervised Tumor Segmentation through Layer Decomposition Xiaoman Zhang Weidi Xie Chaoqin Huang Yanfeng Wang Ya Zhang Xin Chen Qi Tian 79 6 0 07 Sep 2021
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 78 5 0 26 Aug 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 79 45 0 23 Aug 2021
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology C. Srinidhi Anne L. Martel 113 22 0 16 Aug 2021