Cover Image

Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-View Echos

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liman, Michelle Espranita, Turgut, Özgün, Müller, Alexander, Martens, Eimo, Rueckert, Daniel, Müller, Philip
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG
by: Selivanov, Alexander, et al.
Published: (2025)

Multi-View Stenosis Classification Leveraging Transformer-Based Multiple-Instance Learning Using Real-World Clinical Data
by: Cenikj, Nikola, et al.
Published: (2026)

Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging
by: Turgut, Özgün, et al.
Published: (2023)

Towards Generalisable Time Series Understanding Across Domains
by: Turgut, Özgün, et al.
Published: (2024)

Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images
by: Liman, Michelle Espranita, et al.
Published: (2024)

Are foundation models useful feature extractors for electroencephalography analysis?
by: Turgut, Özgün, et al.
Published: (2025)

ECG-RAMBA: Zero-Shot ECG Generalization by Morphology-Rhythm Disentanglement and Long-Range Modeling
by: Nguyen, Hai Duong, et al.
Published: (2025)

Tracing the Heart's Pathways: ECG Representation Learning from a Cardiac Conduction Perspective
by: Pan, Tan, et al.
Published: (2025)

ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models
by: Nguyen, Phu X., et al.
Published: (2025)

ExECG: An Explainable AI Framework for ECG models
by: Jang, Jong-Hwan, et al.
Published: (2026)

Pathology-Aware Multi-View Contrastive Learning for Patient-Independent ECG Reconstruction
by: Youssef, Youssef, et al.
Published: (2026)

Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI through Multi-Modal Representations
by: Zeybek, Busra Nur, et al.
Published: (2026)

OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records
by: Wan, Zhijiang, et al.
Published: (2025)

CoRe-ECG: Advancing Self-Supervised Representation Learning for 12-Lead ECG via Contrastive and Reconstructive Synergy
by: Qin, Zehao, et al.
Published: (2026)

BenchECG and xECG: a benchmark and baseline for ECG foundation models
by: Lunelli, Riccardo, et al.
Published: (2025)

xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
by: Kang, Lei, et al.
Published: (2025)

AnyECG-Lab: An Exploration Study of Fine-tuning an ECG Foundation Model to Estimate Laboratory Values from Single-Lead ECG Signals
by: Xiao, Yujie, et al.
Published: (2025)

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG
by: Zhang, Huaicheng, et al.
Published: (2025)

Reconstructing 12-Lead ECG from 3-Lead ECG using Variational Autoencoder to Improve Cardiac Disease Detection of Wearable ECG Devices
by: Guan, Xinyan, et al.
Published: (2025)

AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling
by: Li, Jun, et al.
Published: (2026)

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
by: Liu, Che, et al.
Published: (2025)

AnyECG: Foundational Models for Multitask Cardiac Analysis in Real-World Settings
by: Wang, Yue, et al.
Published: (2024)

Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation
by: Wang, Xiaoda, et al.
Published: (2025)

Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
by: Jin, Jiarui, et al.
Published: (2025)

Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG
by: Chen, Jiarong, et al.
Published: (2024)

ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
by: Oh, Jungwoo, et al.
Published: (2026)

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms
by: Pokharel, Atit, et al.
Published: (2024)

Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation
by: Lim, Jeonghwa, et al.
Published: (2026)

Versatile and Risk-Sensitive Cardiac Diagnosis via Graph-Based ECG Signal Representation
by: Wang, Yue, et al.
Published: (2025)

MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations
by: Zhang, Deyun, et al.
Published: (2025)

ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction
by: Riek, Nathan T., et al.
Published: (2024)

ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals
by: Aghaomidi, Poorya, et al.
Published: (2024)

EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Model
by: Xu, Yuhao, et al.
Published: (2025)

SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
by: Thapa, Rahul, et al.
Published: (2024)

Cross-Learning Between ECG and PCG: Exploring Common and Exclusive Characteristics of Bimodal Electromechanical Cardiac Waveforms
by: Karimi, Sajjad, et al.
Published: (2025)

In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
by: Soltanieh, Sahar, et al.
Published: (2023)

SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation
by: Park, Minje, et al.
Published: (2025)

How Well Do Multimodal Models Reason on ECG Signals?
by: Xu, Maxwell A., et al.
Published: (2026)

Translation from Wearable PPG to 12-Lead ECG
by: Ji, Hui, et al.
Published: (2025)

ECGMamba: Towards Efficient ECG Classification with BiSSM
by: Qiang, Yupeng, et al.
Published: (2024)