Congenital Heart Disease

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Period ending 2026-09-21

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Congenital Heart Disease

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Electrocardiogram Classification

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Pediatric-Adult Electrocardiogram Alignment

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Whole-Heart Segmentation

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Cardiac Motion

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Cardiometabolic Risk

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Cardiac Magnetic Resonance Imaging

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Echocardiography

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Atrial Fibrillation

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233 papers

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Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification
Jun 10, 2026Veerendhra Kumar Dangeti, Xiao Gu, Ying Weng +1Electrocardiogram Classification Time-Series Classification
Privacy-Preserving Federated Autoencoder for ECG Anomaly Detection on Edge Devices
Jun 10, 2026Kaan Arda Akyol, Jakub Kacper Szeląg, Aydin Abadi +9Pediatric-Adult Electrocardiogram Alignment Heterogeneous Edge Devices
Boosting ECG Classification Performance by Pre-training with Synthesized Data
Jun 9, 2026Naoki Nonaka, Jun SeitaElectrocardiogram Classification Pediatric-Adult Electrocardiogram Alignment
Pre-AF 13: An Interpretable Atrial Fibrillation Risk Score Mined from Discharge Reports
Jun 9, 2026Olga Shakhmatova, Dmitrii Kriukov, Daniil Larionov +10Cardiometabolic Risk Atrial Fibrillation
A Comprehensive Inference-Time Augmentation Framework in Physiological Signals: Application to PPG-Based AF Detection
Jun 9, 2026Davood Fattahi, Runze Yan, Saurabh Kataria +2Atrial Fibrillation Inference-Time
vesselFM-CT: Segmenting All Blood Vessels in CT Images for System-Level Cardiovascular Analysis
Jun 8, 2026Bastian Wittmann, Chinmay Prabhakar, Suprosanna Shit +1Whole-Heart Segmentation Vessels
Temporally Consistent and Controllable Video Generation of 2D Cine CMR via Latent Space Motion Modeling
Jun 8, 2026Yiheng Cao, Gustavo Andrade-Miranda, Jiatian Zhang +2Cardiac Magnetic Resonance Imaging Cardiac Motion
Curation of a Cardiology Interface Terminology for Highlighting Electronic Health Records using Machine Learning
Jun 6, 2026Mahshad Koohi Habibi Dehkordi, Shuxin Zhou, Yehoshua Perl +6Electronic Health Records Electrocardiogram Classification
SafeECGMatch: Calibration-Aware Joint Frequency and Time Space Semi-Supervised Learning for Open-Set ECG Classification
Jun 6, 2026Hongkyu Koh, Ikbeom JangElectrocardiogram Classification Semi-Supervised Learning
MVSegNet: A Lightweight Boundary-Aware Network for Fetal Lateral Ventricle Segmentation and Atrial Width Estimation in Prenatal Ultrasound
Jun 5, 2026Arafat Hossain SayemPrenatal Ultrasound Whole-Heart Segmentation
Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws
Jun 4, 2026Clara Rodrigo González, Matthieu Toulemonde, Lasha Gvinianidze +5Whole-Heart Segmentation Scaling Laws
MSAIC-Net: A Multi-Scale Attention and Imbalance-Aware Contrastive Network for ECG-Based Myocardial Substrate Abnormality Detection
Jun 4, 2026Canyu Lei, Fenglin Zhang, Derek Bivona +5Electrocardiogram Classification Pediatric-Adult Electrocardiogram Alignment
Motion-Guided Causal Disentanglement for Robust Multi-View Cine Cardiac MRI Diagnosis
Jun 3, 2026Chuankai Xu, Cristiane De Carvalho Singulane, Mohammad Abuannadi +10Cardiac Magnetic Resonance Imaging Whole-Heart Segmentation
Conditional Latent Diffusion Model with Fourier-based Motion Modelling for Virtual Population Synthesis
Jun 2, 2026Shaokun Lan, Haoran Dou, Jinghan Huang +5Cardiac Motion Meshes
ArrythML: An Autoencoder-Based TinyML Approach for On-Device Arrhythmia Detection on Resource-Constrained Embedded Systems
Jun 1, 2026Nagarajan S, Kurian PolachanPediatric-Adult Electrocardiogram Alignment Wearable Devices
Conformal Risk Prediction for Non-Alcoholic Fatty Liver Disease Using Gradient Boosting with Distribution-Free Coverages
May 31, 2026Xinze ZhangCholangiocarcinoma Cardiometabolic Risk
Echo-POSED: Geometric Self-Distillation for Echocardiography Guidance
May 30, 2026Elias Stenhede, Edvart Grüner Bjerke, Joanna Sulkowska +4Echocardiography Tomography
Learning Cardiac Latent Representations in Vectorcardiogram Space
May 29, 2026Bosong Huang, Panzhen Zhao, Zengxiang Li +5Pediatric-Adult Electrocardiogram Alignment Latent Representation
EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
May 28, 2026Dang Nguyen Hong, Nhi Ngoc-Yen Nguyen, Huy-Hieu PhamPediatric-Adult Electrocardiogram Alignment Electronic Health Record Foundation Models
CardioLens: Revealing the Clinical Reality Gap of MLLMs via Multi-Sequence Cardiac MRI Evaluations
May 28, 2026Zixian Su, Hongkai Zhang, Fan Gao +12Cardiac Magnetic Resonance Imaging Medical Vision-Language Models
Towards the automated segmentation of epicardial and mediastinal fats: A multi-manufacturer approach using intersubject registration and random forest
May 28, 2026É. O. Rodrigues, A. Conci, F. F. C. Morais +1Whole-Heart Segmentation Random Forest
Deep Learning Strain Estimation: Is Physics-Based Simulation the Solution?
May 27, 2026Thierry Judge, Nicolas Duchateau, Andreas Østvik +13Echocardiography Cardiac Motion
Information-theoretic Multimodal Representation Learning for Electrocardiogram Signals
May 26, 2026Phu X. Nguyen, Konstantinos Kontras, Wei Dai +5Electrocardiogram Classification Multimodal Physiological Signals
Motif-based morphology signatures for interpretable ECG screening and monitoring
May 26, 2026Nivedita Bijlani, Mauricio VillarroelPediatric-Adult Electrocardiogram Alignment Congenital Heart Disease
Towards 3D heart mesh generation using contactless radar imaging and physics-informed neural network
May 25, 2026Jinye Li, Chenxi Fu, Minghang Zheng +3Cardiac Motion Synthetic Aperture Radar
Which Anatomy Matters Under Limited Labels? A Data-Efficient Anatomy-Aware Benchmark for Cardiac Pathology Prediction
May 25, 2026Himanshu SinghWhole-Heart Segmentation Limited Data
A Signal-Language Foundation Model for Broad-Spectrum Cardiovascular Assessment from Routine Electrocardiography
May 25, 2026Ziqing Yu, Yuhui Tao, Jiayu Huo +19Electrocardiogram Classification Congenital Heart Disease
Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification
May 24, 2026Yuli Wang, Hyewon Jung, Dongshen Peng +10Cardiac Magnetic Resonance Imaging Vision Transformer
Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification
May 23, 2026Nikola Cenikj, Özgün Turgut, Alexander Müller +5Electrocardiogram Classification Coronary Angiography
HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection
May 23, 2026Shubham Gupta, Nikhil Panwar, Partha Pratim RoyElectrocardiogram Classification Congenital Heart Disease
Associations between echocardiographic traits and AI-ECG predictions of heart failure
May 23, 2026Elias Stenhede, Eivind Bjørkan Orstad, Torbjørn Omland +2Echocardiography Associations
Synheart Capacity: A Theory-Driven Physiological Representation of Cognitive Capacity Dynamics from Wearable Signals
May 23, 2026Yisak Debele, Henok Ademtew, Israel GoytomRemote Physiological Measurement Physiological Data
EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound
May 22, 2026Filippos Bellos, Yutong Li, Jessie N Dong +6Echocardiography Congenital Heart Disease
Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions
May 22, 2026Yuefeng Liu, Ning Yang, Ziyu YangOutliers Corrupted Observations
Uncertainty-aware classification and triage of structural heart disease using electrocardiography and echocardiography metrics
May 21, 2026Mitchel J. ColebankElectrocardiogram Classification Congenital Heart Disease
Echo4DIR: 4D Implicit Heart Reconstruction from 2D Echocardiography Videos
May 21, 2026Yanan Liu, Qinya Li, Hao Zhang +5Cardiac Motion 4D Reconstruction
Machine learning prediction of obstructive coronary artery disease using opportunistic coronary calcium and epicardial fat assessments from CT calcium scoring scans
May 20, 2026Juhwan Lee, Ammar Hoori, Tao Hu +7Cardiometabolic Risk Coronary Angiography
Quantitative coronary calcification analysis for prediction of myocardial ischemia using non-contrast CT calcium scoring
May 20, 2026Juhwan Lee, Sadeer Al-Kindi, Ammar Hoori +6Cardiometabolic Risk Multi-Omic Framework
RePCM: Region-Specific and Phenotype-Adaptive Bi-Ventricular Cardiac Motion Synthesis
May 20, 2026Xuan Yang, Xiaohan Yuan, Hao Li +3Cardiac Motion Congenital Heart Disease
Motion-Robust Deep Reconstruction for Free-Breathing Cardiac Cine MRI
May 20, 2026Mahmut Yurt, Kanghyun Ryu, Zhitao Li +8Cardiac Magnetic Resonance Imaging Context Compression
Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network
May 19, 2026Guilherme Santos da Silva, Dalcimar Casanova, Jefferson Tales Oliva +1Whole-Heart Segmentation Generative Adversarial Network
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May 19, 2026Tonghao Zhuang, Shanglong Hu, Yongsheng Luo +2Whole-Heart Segmentation Prenatal Ultrasound
Cross-View Attention Fusion Net: A Prior-Guided Dual-View Representation Learning for Cardiac Output Estimation from Short-Term PPG Signals
May 19, 2026Yaowen Zhang, Bo Cui, Libera Fresiello +3Remote Photoplethysmography Congenital Heart Disease
ExECG: An Explainable AI Framework for ECG models
May 19, 2026Jong-Hwan Jang, Yong-yeon JoPediatric-Adult Electrocardiogram Alignment Xai
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CLIC: Contextual Language-Informed Cardiac Pathology Classification
May 18, 2026Giovani D. Lucafo, Rafael da Costa Silva, João Lucas Luz Lima Sarcinelli +2Electrocardiogram Classification Multimodal Clinical Data
HexagonalWarriorMamba: Superior Threshold-Dependent Multi-label Classification of 12-Lead ECG Cardiac Abnormalities
May 18, 2026Huawei Jiang, Husna Mutahira, Shibo Wei +6Electrocardiogram Classification Congenital Heart Disease
ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation
May 17, 2026Zhikang Chen, Yue Wang, Sen Cui +4Pediatric-Adult Electrocardiogram Alignment Electrocardiogram Classification
Reasoning Before Diagnosis: Physician-Inspired Structured Thinking for ECG Classification
May 17, 2026Yang Wu, Xiaoyan Yuan, Hau-San Wong +1Electrocardiogram Classification Pediatric-Adult Electrocardiogram Alignment
Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons
May 16, 2026Wei Tang, Jinpei Han, Kangning Cui +10Pediatric-Adult Electrocardiogram Alignment Electrocardiogram Classification
Brain Vascular Age Prediction Using Cerebral Blood Flow Velocity and Machine Learning Algorithms
May 16, 2026Anni Zhao, Alex Bateh, Tyler Baldridge +2Brain Age Vascular Age
Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis
May 16, 2026Jana Armouti, Laura Hutchins, Jacob Duplantis +12Cardiometabolic Risk Prognostics
Unsupervised Domain Shift Detection with Interpretable Subspace Attribution
May 15, 2026Sebastian Springer, Alessandro LaioCross-Domain Shifts Domain Shift
Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation
May 15, 2026Jeonghwa Lim, Minje Park, Sunghoon JooCongenital Heart Disease Cardiac Motion
Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation
May 15, 2026Michael Hudler, Franz Thaler, Martin UrschlerWhole-Heart Segmentation Anatomical Priors
DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition
May 15, 2026Jiahui Li, Ruili Fang, Zishuai Liu +3Pediatric-Adult Electrocardiogram Alignment Atrial Fibrillation
EAGT: Echocardiography Augmentation for Generalisability and Transferability
May 14, 2026Soroush Elyasi, Sara Adibzadeh, Nasim Dadashi Serej +1Echocardiography Augmentation
A CUBS-Compatible Ultrasound Morphology and Uncertainty-Aware Baseline for Carotid Intima-Media Segmentation and Preliminary Risk Prediction
May 14, 2026Aueaphum AueawatthanaphisutCardiometabolic Risk Ultrasound
CineMesh4D: Personalized 4D Whole Heart Reconstruction from Sparse Cine MRI
May 13, 2026Xiaoyue Liu, Xiaohan Yuan, Mark Y Chan +2Cardiac Motion 4D Reconstruction
Robust and Explainable Bicuspid Aortic Valve Diagnosis Using Stacked Ensembles on Echocardiography
May 13, 2026Christos Chrysanthos Nikolaidis, Vasileios Sachpekidis, Nikolas Moustakidis +2Echocardiography Auc-Roc

Jun 10, 2026 · cs.LGJ/K move · Enter open · S save

Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification

Veerendhra Kumar Dangeti, Xiao Gu, Ying Weng, Shreyank N Gowda

School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham, NG8 1BB, United Kingdom · Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, United Kingdom · School of Computer Science, University of Nottingham Ningbo China, Ningbo, 315100, China

Training deep neural networks for clinical time-series analysis is computationally demanding, yet many healthcare settings lack the resources required for repeated model development and deployment. This challenge is particularly evident in electrocardiogram classification, where large datasets and long training schedules make efficiency practically important. Progressive Data Dropout reduces training cost by excluding samples from gradient updates once they are learned, but it relies on model confidence and may retain samples that are difficult due to noise or ambiguity rather than useful signal. In this work, we introduce ERTS, an explainability-based reliability training signal for efficient ECG classification. ERTS uses explanation quality during training to distinguish between informative and unreliable uncertainty. Building on progressive data selection, we compute Grad-CAM attention maps for candidate samples and derive a focus score that measures whether model predictions are supported by coherent and localised patterns. Samples with low focus are filtered out, while those with meaningful attention are prioritised for gradient updates. We evaluate ERTS across three ECG datasets and multiple backbone architectures, showing consistent improvements in macro-F1 alongside reduced effective training cost. These results suggest that explanation quality can serve as a practical signal for improving both efficiency and reliability in clinical time-series learning. Code will be released.

Electrocardiogram Classification Time-Series Classification Training Time Explainability Ear

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