In this Awesome project, we will organize and categorize the applications of artificial intelligence in cardiovascular diseases from three perspectives: Tasks (🛠️), Data types (💾), and disease types (🫀).
If you have any questions, please feel free to contact me via: WeChat (18810327586) or email ([email protected]).
Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease
[Sep., 2019] [Journal of the American Heart Association]
[Paper]
A guide to deep learning in healthcare
[Jan., 2019] [Nature Medicine]
[Paper]
Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review
[Jun., 2022] [Artificial Intelligence in Medicine]
[Paper]
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
[Aug., 2022] [European Heart Journal]
[Paper]
Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association
[Feb., 2024] [Circulation]
[Paper]
Artificial Intelligence in Image-based Cardiovascular Disease Analysis: A Comprehensive Survey and Future Outlook
[Feb., 2024] [Arxiv]
[Paper]
Multi-modality cardiac image computing: A survey
[Aug., 2023] [Medical Image Analysis]
[Paper]
Deep learning in ECG diagnosis: A review
[2021] [Knowledge-Based Systems]
[Paper]
Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging
[May., 2024] [Nature Medicine]
[Paper] [GitHub]
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
[2023] [MICCAI]
[Paper] [GitHub]
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
[2023] [MICCAI]
[Paper] [GitHub]
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation
[2023] [MICCAI]
[Paper] [GitHub]
Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation
[2023] [MICCAI]
[Paper] [GitHub]
Decoupled Consistency for Semi-supervised Medical Image Segmentation
[2023] [MICCAI]
[Paper] [GitHub]
Wall Thickness Estimation from Short Axis Ultrasound Images via Temporal Compatible Deformation Learning
[2023] [MICCAI]
[Paper]
Temporal Uncertainty Localization to Enable Human-in-the-Loop Analysis of Dynamic Contrast-Enhanced Cardiac MRI Datasets
[2023] [MICCAI]
[Paper]
CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography
[2023] [MICCAI]
[Paper] [GitHub]
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
[2023] [MICCAI]
[Paper] [GitHub]
Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation
[2023] [MICCAI]
[Paper] [GitHub]
CMRVAE: Contrastive margin-restrained variational auto-encoder for class-separated domain adaptation in cardiac segmentation
[2024] [Knowledge-Based Systems]
[Paper]
A cascaded framework with cross-modality transfer learning for whole heart segmentation
[2024] [Pattern Recognition]
[Paper]
Robust implementation of foreground extraction and vessel segmentation for X-ray coronary angiography image sequence
[2023] [Pattern Recognition]
[Paper]
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
[Jul., 2024] [IEEE TRANSACTIONS ON MEDICAL IMAGING]
[Paper] [GitHub]
Whole-Heart Reconstruction with Explicit Topology Integrated Learning
[2023] [MICCAI]
[Paper]
Wall Thickness Estimation from Short Axis Ultrasound Images via Temporal Compatible Deformation Learning
[2023] [MICCAI]
[Paper]
Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning
[2023] [MICCAI]
[Paper]
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
[2023] [MICCAI]
[Paper] [GitHub]
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
[Jul., 2024] [IEEE TRANSACTIONS ON MEDICAL IMAGING]
[Paper] [GitHub]
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
[2023] [MICCAI]
[Paper] [GitHub]
HQ-DCGAN: Hybrid quantum deep convolutional generative adversarial network approach for ECG generation
[2024] [Knowledge-Based Systems]
[Paper] [GitHub]
Label decoupling strategy for 12-lead ECG classification
[2023] [Knowledge-Based Systems]
[Paper] [GitHub]
Artificial intelligence estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablation
[2024] [Nature Medicine]
[Paper]
Artificial intelligence-enabled prediction of chemotherapy-induced cardiotoxicity from baseline electrocardiograms
[2024] [Nature Communications]
[Paper]
An ECG-based artificial intelligence model for assessment of sudden cardiac death risk
[2024] [communications medicine]
[Paper]
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
[2023] [Nature Medicine]
[Paper]
Multi-scale differential feature for ECG biometrics with collective matrix factorization
[2020] [Pattern Recognition]
[Paper]
Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging
[May., 2024] [Nature Medicine]
[Paper] [GitHub]
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation
[2023] [MICCAI]
[Paper] [GitHub]
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
[Jul., 2024] [IEEE TRANSACTIONS ON MEDICAL IMAGING]
[Paper] [GitHub]
Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation
[2023] [MICCAI]
[Paper] [GitHub]
Decoupled Consistency for Semi-supervised Medical Image Segmentation
[2023] [MICCAI]
[Paper] [GitHub]
Whole-Heart Reconstruction with Explicit Topology Integrated Learning
[2023] [MICCAI]
[Paper]
Temporal Uncertainty Localization to Enable Human-in-the-Loop Analysis of Dynamic Contrast-Enhanced Cardiac MRI Datasets
[2023] [MICCAI]
[Paper]
Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation
[2023] [MICCAI]
[Paper] [GitHub]
CMRVAE: Contrastive margin-restrained variational auto-encoder for class-separated domain adaptation in cardiac segmentation
[2024] [Knowledge-Based Systems]
[Paper]
A cascaded framework with cross-modality transfer learning for whole heart segmentation
[2024] [Pattern Recognition]
[Paper]
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images
[Oct., 2023] [Computerized Medical Imaging and Graphics]
[Paper] [GitHub]
CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography
[2023] [MICCAI]
[Paper] [GitHub]
CT Myocardial Perfusion and CT-FFR versus Invasive FFR for Hemodynamic Relevance of Coronary Artery Disease
[2024] [Radiology]
[Paper]
Quantification of Aortic Valve Fibrotic and Calcific Tissue from CTA: Prospective Comparison with Histology
[2024] [Radiology]
[Paper]
Whole-Heart Reconstruction with Explicit Topology Integrated Learning
[2023] [MICCAI]
[Paper]
A cascaded framework with cross-modality transfer learning for whole heart segmentation
[2024] [Pattern Recognition]
[Paper]
Wall Thickness Estimation from Short Axis Ultrasound Images via Temporal Compatible Deformation Learning
[2023] [MICCAI]
[Paper]
Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning
[2023] [MICCAI]
[Paper]
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
[2023] [MICCAI]
[Paper] [GitHub]
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
[2023] [MICCAI]
[Paper] [GitHub]
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
[2023] [MICCAI]
[Paper] [GitHub]
Robust implementation of foreground extraction and vessel segmentation for X-ray coronary angiography image sequence
[2023] [Pattern Recognition]
[Paper]
...
CT Myocardial Perfusion and CT-FFR versus Invasive FFR for Hemodynamic Relevance of Coronary Artery Disease
[2024] [Radiology]
[Paper]
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
[Jul., 2024] [IEEE TRANSACTIONS ON MEDICAL IMAGING]
[Paper] [GitHub]
Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging
[May., 2024] [Nature Medicine]
[Paper] [GitHub]