Image de couverture de livre

Learning ECG Image Representations via Dual Physiological-Aware Alignments

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pham, Hung Manh, Tang, Jialu, Saeed, Aaqib, Ma, Dong, Zhu, Bin, Zhou, Pan
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Interpretable Multimodal Zero-Shot ECG Diagnosis via Structured Clinical Knowledge Alignment
par: Tang, Jialu, et autres
Publié: (2025)

Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners
par: Pham, Hung Manh, et autres
Publié: (2024)

Q-Heart: ECG Question Answering via Knowledge-Informed Multimodal LLMs
par: Pham, Hung Manh, et autres
Publié: (2025)

Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact
par: Hung, Manh Pham, et autres
Publié: (2025)

UniPACT: A Multimodal Framework for Prognostic Question Answering on Raw ECG and Structured EHR
par: Tang, Jialu, et autres
Publié: (2026)

Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling
par: Tang, Jialu, et autres
Publié: (2024)

Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
par: Tang, Jialu, et autres
Publié: (2024)

Graph Contrastive Learning via Spectral Graph Alignment
par: Nguyen, Manh
Publié: (2025)

Federated Learning with a Single Shared Image
par: Soni, Sunny, et autres
Publié: (2024)

CPR: Causal Physiological Representation Learning for Robust ECG Analysis under Distribution Shifts
par: Jia, Shunbo, et autres
Publié: (2025)

PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning
par: Pham, Hung Manh, et autres
Publié: (2026)

Unified Acoustic Representations for Screening Neurological and Respiratory Pathologies from Voice
par: Piao, Ran, et autres
Publié: (2025)

Collaboratively Learning Federated Models from Noisy Decentralized Data
par: Li, Haoyuan, et autres
Publié: (2024)

Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning
par: Zhou, Hao, et autres
Publié: (2026)

PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals
par: Pandey, Saurav R., et autres
Publié: (2024)

Learning ECG Representations via Poly-Window Contrastive Learning
par: Yuan, Yi, et autres
Publié: (2025)

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024
par: Spathis, Dimitris, et autres
Publié: (2024)

Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
par: Bui, Ha Manh, et autres
Publié: (2024)

Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction
par: Ibtehaz, Nabil, et autres
Publié: (2024)

Towards Uniformity and Alignment for Multimodal Representation Learning
par: Yin, Wenzhe, et autres
Publié: (2026)

Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation
par: Tsouvalas, Vasileios, et autres
Publié: (2024)

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement
par: Saeed, Aaqib, et autres
Publié: (2024)

Efficient Graph Optimization via Distance-Aware Graph Representation Learning
par: Liu, Dong, et autres
Publié: (2024)

CoRe-ECG: Advancing Self-Supervised Representation Learning for 12-Lead ECG via Contrastive and Reconstructive Synergy
par: Qin, Zehao, et autres
Publié: (2026)

Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
par: Jin, Jiarui, et autres
Publié: (2025)

CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning
par: Wang, Tsai-Ning, et autres
Publié: (2025)

Multi-Modal Molecular Representation Learning via Structure Awareness
par: Yin, Rong, et autres
Publié: (2025)

AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion
par: Li, Chenqi, et autres
Publié: (2024)

On the Role of Discrete Representation in Sparse Mixture of Experts
par: Do, Giang, et autres
Publié: (2024)

We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification
par: Liu, Zhipeng, et autres
Publié: (2026)

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
par: Nguyen, Manh, et autres
Publié: (2025)

Retrieval-augmented Decoding for Improving Truthfulness in Open-ended Generation
par: Nguyen, Manh, et autres
Publié: (2025)

Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models
par: Nguyen, Manh, et autres
Publié: (2025)

Meta-Learning from Learning Curves for Budget-Limited Algorithm Selection
par: Nguyen, Manh Hung, et autres
Publié: (2024)

DE-PADA: Personalized Augmentation and Domain Adaptation for ECG Biometrics Across Physiological States
par: Saleh, Amro Abu, et autres
Publié: (2025)

MIC: Maximizing Informational Capacity in Adaptive Representations via Isotropic Subspace Alignment
par: Hong, Dang Nguyen, et autres
Publié: (2026)

Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
par: Pan, Linchao, et autres
Publié: (2025)

Tracing the Heart's Pathways: ECG Representation Learning from a Cardiac Conduction Perspective
par: Pan, Tan, et autres
Publié: (2025)

ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models
par: Nguyen, Phu X., et autres
Publié: (2025)

FAST: Federated Active Learning with Foundation Models for Communication-efficient Sampling and Training
par: Li, Haoyuan, et autres
Publié: (2025)