Explainable deep-learning-based ischemia detection using hybrid O-15 H2O perfusion positron emission tomography and computed tomography imaging with clinical data

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Machine Learning in the Evaluation of Myocardial Ischemia Through Nuclear Cardiology

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Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies

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Multi-task Deep Learning of Myocardial Blood Flow and Cardiovascular Risk Traits from PET Myocardial Perfusion Imaging

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Classification of ischemia from myocardial polar maps in 15O–H2O cardiac perfusion imaging using a convolutional neural network

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Nuclear Cardiology Data Analyzed Using Machine Learning

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Machine learning models for positron emission tomography myocardial perfusion imaging

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The role of deep learning in myocardial perfusion imaging for diagnosis and prognosis: A systematic review

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Artificial intelligence in nuclear cardiology: Enhancing diagnostic accuracy and efficiency

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Targeted molecular imaging of myocardial infarction: One more step in the right direction

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Artificial intelligence for nuclear cardiology: Perspectives and challenges

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A Two-Stage Multimodal Contrastive Framework for PET-Based Prediction of Obstructive Coronary Artery DiseasePreprint

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Diagnostic performance of deep learning algorithm for analysis of computed tomography myocardial perfusion

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Multicenter evaluation of interpretable AI for coronary artery disease diagnosis from PET biomarkers

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