CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients

27 May 2020

Papers citing "CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients"

43 / 93 papers shown

Title
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training Che Liu Zhongwei Wan Sibo Cheng Mi Zhang Rossella Arcucci 27 36 0 06 Sep 2023
Masked Transformer for Electrocardiogram Classification Ya Zhou Xiaolin Diao Yanni Huo Yang Liu Xiaohan Fan Wei-Ye Zhao MedIm 14 2 0 31 Aug 2023
Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata Temesgen Mehari Nils Strodthoff 21 17 0 29 Aug 2023
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals Hyewon Jeong Collin M. Stultz Marzyeh Ghassemi 17 4 0 09 Aug 2023
Personalization of Stress Mobile Sensing using Self-Supervised Learning Tanvir Islam Peter Washington 24 6 0 04 Aug 2023
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series Aniruddh Raghu P. Chandak Ridwan Alam John Guttag Collin M. Stultz AI4TS 17 13 0 20 Jul 2023
Multi-view self-supervised learning for multivariate variable-channel time series Thea Brusch Mikkel N. Schmidt T. S. Alstrøm BDL SSL AI4TS 12 7 0 13 Jul 2023
ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram Jungwoo Oh Gyubok Lee Seongsu Bae Joon-Myoung Kwon E. Choi 18 16 0 21 Jun 2023
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study Rushuang Zhou Lei Lu Zijun Liu Ting Xiang Zhen Liang David A. Clifton Yining Dong Yuanyuan Zhang 41 10 0 18 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 111 102 0 16 Jun 2023
ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram Databases through Neural Networks Michal Seják Jakub Sido David Zahour 13 2 0 09 Jun 2023
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection S. Soltanieh J. Hashemi Ali Etemad 21 11 0 13 Apr 2023
Self-supervised learning-based general laboratory progress pretrained model for cardiovascular event detection Lichin Chen Kuo-Hsuan Hung Y. Tseng Hsin-Yao Wang T. Lu Wei-Chieh Huang Yu Tsao 14 7 0 13 Mar 2023
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders Mingyue Cheng Qi Liu Zhiding Liu Haotong Zhang Rujiao Zhang Enhong Chen AI4TS 29 42 0 01 Mar 2023
Sleep Model -- A Sequence Model for Predicting the Next Sleep Stage Iksoo Choi Wonyong Sung MLAU 6 0 0 17 Feb 2023
MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring Yuzhen Qin Li Sun Hui Chen Wei-Qiang Zhang Wenming Yang Jintao Fei Guijin Wang 26 14 0 28 Jan 2023
Pretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks Jessica Y. Bo Hen-Wei Huang Alvin Chan G. Traverso MedIm 22 4 0 15 Nov 2022
Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning Thi-Thu-Hong Phan Duc Le Brijesh Patel Donald Adjeroh Jingxian Wu M. Jensen Ngan Le 17 11 0 30 Sep 2022
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound Zeyu Fu Jianbo Jiao R. Yasrab L. Drukker A. Papageorghiou J. A. Noble 12 15 0 22 Aug 2022
COCOA: Cross Modality Contrastive Learning for Sensor Data Shohreh Deldari Hao Xue Aaqib Saeed Daniel V. Smith Flora D. Salim SSL 40 38 0 31 Jul 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 25 271 0 17 Jun 2022
Learn to Adapt: Robust Drift Detection in Security Domain Aditya Kuppa Nhien-An Le-Khac OOD 23 15 0 15 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 23 44 0 13 Jun 2022
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data Shohreh Deldari Hao Xue Aaqib Saeed Jiayuan He Daniel V. Smith Flora D. Salim AI4TS 25 37 0 06 Jun 2022
Analysis of Augmentations for Contrastive ECG Representation Learning S. Soltanieh Ali Etemad J. Hashemi SSL 14 19 0 30 May 2022
Data Augmentation for Electrocardiograms Aniruddh Raghu Divya Shanmugam E. Pomerantsev John Guttag Collin M. Stultz 21 18 0 09 Apr 2022
Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram Jungwoo Oh Hyunseung Chung Joon-Myoung Kwon Dongwoo Hong E. Choi SSL 4 34 0 14 Mar 2022
A Simple Self-Supervised ECG Representation Learning Method via Manipulated Temporal-Spatial Reverse Detection Wen-Rang Zhang Shijia Geng linda Qiao 11 29 0 25 Feb 2022
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications Jin Li B. Cairns Jingsong Li T. Zhu SyDa 38 67 0 22 Dec 2021
Leveraging Time Irreversibility with Order-Contrastive Pre-training Monica Agrawal Hunter Lang M. Offin L. Gazit David Sontag 13 6 0 04 Nov 2021
Contrastive Neural Processes for Self-Supervised Learning Konstantinos Kallidromitis Denis A. Gudovskiy Kozuka Kazuki Ohama Iku Luca Rigazio SSL AI4TS 33 10 0 24 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science Charlotte Loh T. Christensen Rumen Dangovski Samuel Kim Marin Soljacic 24 16 0 15 Oct 2021
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals Xiang Lan Dianwen Ng linda Qiao Mengling Feng OOD 48 51 0 18 Sep 2021
Neighborhood Contrastive Learning Applied to Online Patient Monitoring Hugo Yèche Gideon Dresdner Francesco Locatello Matthias Huser Gunnar Rätsch 16 46 0 09 Jun 2021
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations Bryan Gopal Ryan Han Gautham Raghupathi A. Ng G. Tison Pranav Rajpurkar MedIm 13 57 0 21 Apr 2021
Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling N. Diamant Erik Reinertsen S. Song Aaron D Aguirre Collin M. Stultz P. Batra 24 40 0 09 Apr 2021
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data Tingyi Wanyan Jing Zhang Ying Ding A. Azad Zhangyang Wang B. Glicksberg 11 10 0 07 Apr 2021
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification A. Perakis A. Gorji Samriddhi Jain K. Chaitanya Simone Rizza E. Konukoglu SSL 21 33 0 30 Mar 2021
Self-supervised representation learning from 12-lead ECG data Temesgen Mehari Nils Strodthoff SSL 16 141 0 23 Mar 2021
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations Hongwei Bran Li Fei-Fei Xue K. Chaitanya Shengda Liu Ivan Ezhov Benedikt Wiestler Jianguo Zhang Bjoern H. Menze SSL 8 25 0 06 Mar 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation Yen Nhi Truong Vu Richard Wang N. Balachandar Can Liu A. Ng Pranav Rajpurkar 13 81 0 21 Feb 2021
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age Dani Kiyasseh T. Zhu David A. Clifton 17 9 0 28 Nov 2020
PCPs: Patient Cardiac Prototypes Dani Kiyasseh T. Zhu David A. Clifton 17 1 0 28 Nov 2020