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CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
International Conference on Machine Learning (ICML), 2020
27 May 2020
Dani Kiyasseh
T. Zhu
David Clifton
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ArXiv (abs)
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Papers citing
"CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients"
50 / 111 papers shown
CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models
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105
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Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
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Christian Holz
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358
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26 Oct 2025
Interpretable Multimodal Zero-Shot ECG Diagnosis via Structured Clinical Knowledge Alignment
Jialu Tang
Hung Manh Pham
Ignace De Lathauwer
Henk S. Schipper
Yuan Lu
Dong Ma
Aaqib Saeed
131
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0
24 Oct 2025
Symbol-Temporal Consistency Self-supervised Learning for Robust Time Series Classification
Kevin Garcia
Cassandra Garza
Brooklyn Berry
Yifeng Gao
AI4TS
OOD
129
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0
24 Sep 2025
Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG
Jiarui Jin
Xiaocheng Fang
Haoyu Wang
Jun Yu Li
Che Liu
Donglin Xie
Hongyan Li
Zhiqin Jiang
152
1
0
23 Sep 2025
ECG-aBcDe: Overcoming Model Dependence, Encoding ECG into a Universal Language for Any LLM
Yong Xia
Jingxuan Li
YeTeng Sun
Jiarui Bu
183
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0
16 Sep 2025
Domain Knowledge is Power: Leveraging Physiological Priors for Self Supervised Representation Learning in Electrocardiography
Nooshin Maghsoodi
Sarah Nassar
P. Wilson
Minh-Son To
Sophia Mannina
Shamel Addas
Stephanie Sibley
David Maslove
Purang Abolmaesumi
P. Mousavi
129
1
0
09 Sep 2025
ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models
P. Nguyen
Huy P Phan
Hieu Pham
Christos Chatzichristos
Bert Vandenberk
M. D. Vos
MedIm
351
1
0
27 Aug 2025
Continuous Determination of Respiratory Rate in Hospitalized Patients using Machine Learning Applied to Electrocardiogram Telemetry
Thomas Kite
Brian Ayers
Nicholas Houstis
Asishana A. Osho
Thoralf M. Sundt
Aaron D Aguirre
117
1
0
21 Aug 2025
Learning ECG Representations via Poly-Window Contrastive Learning
Yi Yuan
Joseph Van Duyn
Runze Yan
Zhuoyi Huang
Sulaiman Vesal
Sergey Plis
Xiao Hu
Gloria Hyunjung Kwak
Ran Xiao
A. Fedorov
AI4TS
106
1
0
21 Aug 2025
eMargin: Revisiting Contrastive Learning with Margin-Based Separation
Abdul-Kazeem Shamba
Kerstin Bach
Gavin Taylor
220
0
0
20 Jul 2025
Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
ACM Conference on Health, Inference, and Learning (CHIL), 2025
YongKyung Oh
Alex Bui
OOD
AI4TS
191
1
0
27 Jun 2025
Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification
Ming Hu
Jianfu Yin
Mingyu Dou
Yuqi Wang
Ruochen Dang
...
Feiyu Zhu
Cong Hu
Yao Wang
Bingliang Hu
Quan Wang
AI4TS
515
0
0
31 May 2025
Enhancing Contrastive Learning-based Electrocardiogram Pretrained Model with Patient Memory Queue
Xiaoyu Sun
Yang Yang
Xunde Dong
197
1
0
26 May 2025
Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework
William Jongwon Han
Chaojing Duan
Zhepeng Cen
Yihang Yao
Xiaoyu Song
Atharva Mhaskar
Dylan Leong
Michael A. Rosenberg
Emerson Liu
Ding Zhao
336
2
0
24 May 2025
Fine-grained Contrastive Learning for ECG-Report Alignment with Waveform Enhancement
Haitao Li
Che Liu
Zhengyao Ding
Ziyi Liu
Wenqi Shao
Zhengxing Huang
420
1
0
17 May 2025
GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
Xiang Lan
Feng Wu
Kai He
Qinghao Zhao
Zhiqin Jiang
Mengling Feng
AI4TS
394
28
0
08 Mar 2025
Leveraging Self-Supervised Learning Methods for Remote Screening of Subjects with Paroxysmal Atrial Fibrillation
A. Atienza
G. Manimaran
S. Puthusserypady
Helena Domínguez
Peter K. Jacobsen
J. Bardram
228
0
0
04 Mar 2025
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition
Nastaran Mansourian
Arash Mohammadi
M. Omair Ahmad
M. Swamy
MoE
223
2
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03 Mar 2025
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
AAAI Conference on Artificial Intelligence (AAAI), 2025
A. Atienza
J. Bardram
S. Puthusserypady
232
0
0
28 Feb 2025
CuPID: Leveraging Masked Single-Lead ECG Modelling for Enhancing the Representations
A. Atienza
G. Manimaran
J. Bardram
S. Puthusserypady
269
0
0
28 Feb 2025
SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning
Mingsheng Cai
Jiuming Jiang
Wenhao Huang
Che Liu
Rossella Arcucci
AI4TS
563
4
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27 Feb 2025
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
International Conference on Learning Representations (ICLR), 2025
B. U. Demirel
Christian Holz
OOD
AI4TS
286
6
0
27 Feb 2025
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
Che Liu
Cheng Ouyang
Zhongwei Wan
Haozhe Wang
Wenjia Bai
Rossella Arcucci
270
4
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25 Feb 2025
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
International Conference on Learning Representations (ICLR), 2025
Jiarui Jin
Haoyu Wang
Hongyan Li
Jun Yu Li
Jiahui Pan
Shenda Hong
376
27
0
15 Feb 2025
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
The Web Conference (WWW), 2025
Wei Fan
Jingru Fei
Dingyu Guo
Kun Yi
Xiaozhuang Song
Haolong Xiang
Hangting Ye
Min Li
AI4TS
397
16
0
06 Feb 2025
LEAD: An EEG Foundation Model for Alzheimer's Disease Detection
Yihe Wang
Nan Huang
Nadia Mammone
Marco Cecchi
Xiang Zhang
519
11
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02 Feb 2025
ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling
William Jongwon Han
Chaojing Duan
M. Rosenberg
Emerson Liu
Ding Zhao
560
6
0
18 Dec 2024
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Salar Abbaspourazad
Anshuman Mishra
Joseph D. Futoma
Andrew C. Miller
Ian Shapiro
541
9
0
15 Dec 2024
Finding "Good Views" of Electrocardiogram Signals for Inferring Abnormalities in Cardiac Condition
Hyewon Jeong
Suyeol Yun
Hammaad Adam
262
1
0
11 Nov 2024
PaPaGei: Open Foundation Models for Optical Physiological Signals
International Conference on Learning Representations (ICLR), 2024
Arvind Pillai
Dimitris Spathis
F. Kawsar
Mohammad Malekzadeh
VLM
424
54
0
27 Oct 2024
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare
Arno Blaas
Adam Goliñski
Andrew C. Miller
Luca Zappella
J. Jacobsen
Christina Heinze-Deml
OOD
286
0
0
25 Oct 2024
Contrastive random lead coding for channel-agnostic self-supervision of biosignals
Thea Brusch
Mikkel N. Schmidt
T. S. Alstrøm
SSL
232
0
0
21 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
International Conference on Learning Representations (ICLR), 2024
Shiyu Wang
Jiawei Li
Xiaoming Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
561
119
0
21 Oct 2024
Contrast All the Time: Learning Time Series Representation from Temporal Consistency
Abdul-Kazeem Shamba
Kerstin Bach
Gavin Taylor
AI4TS
410
0
0
20 Oct 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
ACM Conference on Health, Inference, and Learning (CHIL), 2024
Jialu Tang
Tong Xia
Yuan Lu
Cecilia Mascolo
Aaqib Saeed
AI4MH
442
6
0
18 Oct 2024
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
International Conference on Information and Knowledge Management (CIKM), 2024
Yu Wu
Ting Dang
Dimitris Spathis
Hong Jia
Cecilia Mascolo
AI4TS
421
9
0
14 Oct 2024
Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture
Sehun Kim
290
11
0
11 Oct 2024
Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models
medRxiv (medRxiv), 2024
Ridwan Alam
Collin M. Stultz
176
1
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12 Aug 2024
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
A. Atienza
J. Bardram
S. Puthusserypady
BDL
AI4TS
266
3
0
24 Jul 2024
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning
Saeed Shurrab
Alejandro Guerra-Manzanares
Farah E. Shamout
266
4
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05 Jul 2024
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
Rushuang Zhou
Zijun Liu
Lei A. Clifton
David Clifton
Kannie W. Y. Chan
Yuan-Ting Zhang
Yining Dong
277
2
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20 Jun 2024
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals
Qihan Hu
Daomiao Wang
Hong Wu
Jian Liu
Cuiwei Yang
327
3
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13 Jun 2024
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring
Thomas Kite
Uzair Tahamid Siam
Brian Ayers
Nicholas Houstis
Aaron D Aguirre
316
3
0
07 Jun 2024
Denoising-Aware Contrastive Learning for Noisy Time Series
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Shuang Zhou
Daochen Zha
Xiao Shen
Xiao Shi Huang
Rui Zhang
Fu-Lai Chung
AI4TS
272
10
0
07 Jun 2024
An Unsupervised Approach for Periodic Source Detection in Time Series
B. U. Demirel
Christian Holz
AI4TS
329
3
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01 Jun 2024
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
Zoe Piran
Stephen Zhang
James Thornton
Marco Cuturi
299
9
0
29 May 2024
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
Rahul Thapa
Bryan He
Magnus Ruud Kjær
IV HyattE.Moore
Gauri Ganjoo
Emmanuel Mignot
James Zou
307
43
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28 May 2024
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text
Han Yu
Peikun Guo
Akane Sano
246
42
0
26 May 2024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
Yihe Wang
Nan Huang
Taida Li
Yujun Yan
Xiang Zhang
MedIm
AI4TS
266
97
0
24 May 2024
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