Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor | Paper Citation Record

Observation b854e490-441b-4863-b065-5daa679b05cc · outbound

This paper cites Global burden of cardiovascular diseases and risk factors, 1990–2019: update from the gbd 2019 study,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Global burden of cardiovascular diseases and risk factors, 1990–2019: update from the gbd 2019 study,

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This paper cites Standardized cardiovascular magnetic resonance imaging (cmr) proto- cols, society for cardiovascular magnetic resonance: board of trustees task force on standardized protocols,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Standardized cardiovascular magnetic resonance imaging (cmr) proto- cols, society for cardiovascular magnetic resonance: board of trustees task force on standardized protocols,

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This paper cites Assessment of left ventricular function by echocardiography: the case for routinely adding global longitudinal strain to ejection fraction,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Assessment of left ventricular function by echocardiography: the case for routinely adding global longitudinal strain to ejection fraction,

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Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Unresolved cited work

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This paper cites The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field,

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This paper cites The ‘digital twin’to enable the vision of precision cardiology,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor The ‘digital twin’to enable the vision of precision cardiology,

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This paper cites Patient-specific cardiovascular compu- tational modeling: diversity of personalization and challenges,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Patient-specific cardiovascular compu- tational modeling: diversity of personalization and challenges,

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This paper cites Ref- erence ranges for cardiac structure and function using cardiovascular magnetic resonance (cmr) in caucasians from the uk biobank population cohort,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Ref- erence ranges for cardiac structure and function using cardiovascular magnetic resonance (cmr) in caucasians from the uk biobank population cohort,

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This paper cites Barriers to cardiovascular magnetic resonance imaging scan performance and reporting by cardiol- ogists: a systematic literature review,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Barriers to cardiovascular magnetic resonance imaging scan performance and reporting by cardiol- ogists: a systematic literature review,

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Observation 981fe34a-9924-493a-8147-025cdd78b387 · outbound

This paper cites An artificial intelligence-enabled ecg algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor An artificial intelligence-enabled ecg algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction,

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Observation 8edc2604-5292-4355-b6d3-7ada739e29a9 · outbound

This paper cites Noninvasive electrocardiographic imaging,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Noninvasive electrocardiographic imaging,

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Observation 6b58b458-9427-4ead-9609-02ee10b011de · outbound

This paper cites Noninvasive electrocardiographic imaging: reconstruction of epicardial potentials, electrograms, and isochrones and localization of single and multiple electrocardiac events,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Noninvasive electrocardiographic imaging: reconstruction of epicardial potentials, electrograms, and isochrones and localization of single and multiple electrocardiac events,

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Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Unresolved cited work

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Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Unresolved cited work

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This paper cites Computational cardiology: the heart of the matter,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Computational cardiology: the heart of the matter,

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Observation b6cc3d8c-3fff-49f8-bfca-79fbedc5bc8f · outbound

This paper cites Deep learning and the electrocardiogram: review of the current state-of-the-art,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Deep learning and the electrocardiogram: review of the current state-of-the-art,

Reference 16

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Observation f4e56878-d5b3-4337-a039-2b4686756d69 · outbound

This paper cites Computing ischemic regions in the heart with the bidomain model—first steps towards validation,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Computing ischemic regions in the heart with the bidomain model—first steps towards validation,

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Observation cde32801-42c7-4f0a-8715-aaec6c308cb7 · outbound

This paper cites Recent progress in inverse prob- lems in electrocardiology,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Recent progress in inverse prob- lems in electrocardiology,

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This paper cites Embedding high-dimensional bayesian optimization via generative modeling: parameter personaliza- tion of cardiac electrophysiological models,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Embedding high-dimensional bayesian optimization via generative modeling: parameter personaliza- tion of cardiac electrophysiological models,

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Observation 1dce86c5-1da1-4f42-ad90-c9510918fbf0 · outbound

This paper cites Toward enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Toward enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference,

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Observation 5a258a3a-8a4c-48e9-b310-985e7dcd5c35 · outbound

This paper cites Solving the inverse problem of electrocardiography for cardiac digital twins: A survey,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Solving the inverse problem of electrocardiography for cardiac digital twins: A survey,

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Observation ed0a39bf-701a-47cf-b536-86b882ff663f · outbound

This paper cites Physics-constrained deep learning for robust inverse ecg modeling,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Physics-constrained deep learning for robust inverse ecg modeling,

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Observation 8fad2b8d-ba7e-4b7a-8796-053abfbb4b36 · outbound

This paper cites Factorised spatial representation learning: Application in semi-supervised myocardial seg- mentation,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Factorised spatial representation learning: Application in semi-supervised myocardial seg- mentation,

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Observation 60d903ab-1af6-4cda-8eae-d1c7dd93a1da · outbound

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Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Generative adversarial network in medical imaging: A review,

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Observation 48dd92cf-a8b8-4b89-8da0-6033b80cdced · outbound

This paper cites Deepmesh: Mesh- based cardiac motion tracking using deep learning,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Deepmesh: Mesh- based cardiac motion tracking using deep learning,

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Observation 5ec28b83-b160-4ff4-a386-641f59309bcc · outbound

This paper cites Joint learning of motion estimation and segmentation for cardiac mr image sequences,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Joint learning of motion estimation and segmentation for cardiac mr image sequences,

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Observation a52486a0-c908-4562-9e46-00268928f816 · outbound

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Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor The perception-distortion tradeoff,

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Observation fa4c82b1-912b-418f-9dd2-cc4d649fbd8b · outbound

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Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor ECHOPulse: ECG controlled echocardio-grams video generation

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Observation 614f4c81-5b39-4855-af4f-e3e0f3011a64 · outbound

This paper cites Deep generative model for synthesising and analysing cardiac magnetic resonance images,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Deep generative model for synthesising and analysing cardiac magnetic resonance images,

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Observation db88922e-7cee-47bd-a311-0b124b05db15 · outbound

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Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Are medical image generative models bi- ologically trustworthy?

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Observation ba9a9be7-6f0d-4d8f-b320-027b36241284 · outbound

This paper cites ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Helps Cardiac Disease Classification and Phenotype Prediction.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Helps Cardiac Disease Classification and Phenotype Prediction

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Observation f3eea66c-3195-41bf-998c-a1dcd785dac5 · outbound

This paper cites Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review,

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Observation 50b00423-05a4-43e5-87e8-0c4f65c93923 · outbound

This paper cites Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction,

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Observation 6f101182-866a-4b0e-9524-6f9d7066a1bc · outbound

This paper cites Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,

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Observation fee75f62-365c-4a03-96f2-86ebe02c7e83 · outbound

This paper cites Deep learning for ecg arrhythmia detection and classification: an overview of progress for period 2017–2023,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Deep learning for ecg arrhythmia detection and classification: an overview of progress for period 2017–2023,

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Observation 37f6a179-f32a-45a2-b431-ebadfbf9f6f6 · outbound

This paper cites Value of the electrocardiogram in localizing the occlusion site in the left anterior descending coronary artery in acute anterior myocardial infarction,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Value of the electrocardiogram in localizing the occlusion site in the left anterior descending coronary artery in acute anterior myocardial infarction,

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Observation 1077e2b5-b697-4834-8fed-3ebe195827c9 · outbound

This paper cites Acute st-segment elevation myocardial infarction (stemi),.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Acute st-segment elevation myocardial infarction (stemi),

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Observation a53ae264-b9d7-4490-ad22-4da966612aa5 · outbound

This paper cites The selvester qrs scoring system for estimating myocardial infarct size: the development and application of the system,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor The selvester qrs scoring system for estimating myocardial infarct size: the development and application of the system,

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Observation eb43963d-6ea0-4015-bc92-8bd48e359438 · outbound

This paper cites Electrocardiographic imag- ing for cardiac arrhythmias and resynchronization therapy,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Electrocardiographic imag- ing for cardiac arrhythmias and resynchronization therapy,

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Observation fb6703e2-b7d6-486e-bbe9-e9b8799e55c9 · outbound

This paper cites Nonin- vasive electrocardiographic imaging for cardiac electrophysiology and arrhythmia,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Nonin- vasive electrocardiographic imaging for cardiac electrophysiology and arrhythmia,

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Observation c19771bb-fa4b-4e37-8cf8-43dd2d03930e · outbound

This paper cites Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models,

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Observation 4a9af16f-6be4-40eb-8254-304749334ce8 · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,

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Observation 86e0fd63-b5b6-4b39-85a9-685b866fb5a0 · outbound

This paper cites Uk biobank’s cardiovascular magnetic resonance protocol,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Uk biobank’s cardiovascular magnetic resonance protocol,

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Observation cdcbeca2-ccd6-43c2-990f-c86f05160659 · outbound

This paper cites Ti2v-zero: Zero-shot image conditioning for text-to-video diffusion models,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Ti2v-zero: Zero-shot image conditioning for text-to-video diffusion models,

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Observation 22fde8f1-d559-46d0-8efc-646dc0718630 · outbound

This paper cites Feature-conditioned cascaded video diffusion models for precise echocardiogram synthesis,.

Chain of Flow: ECG-Conditioned 4D Cardiac Cine Generation from Patient-Specific Anatomical Anchor Feature-conditioned cascaded video diffusion models for precise echocardiogram synthesis,

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