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A machine-learning approach for computation of fractional flow reserve from coronary computed tomography

Journal of applied physiology (1985), 2016-07, Vol.121 (1), p.42-52

2016

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Machine Learning and Coronary Artery Calcium Scoring

Current cardiology reports, 2020-07, Vol.22 (9), p.90-90, Article 90

2020

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Sex differences in machine learning computed tomography-derived fractional flow reserve

Scientific reports, 2022-08, Vol.12 (1), p.13861-13861, Article 13861

2022

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Aortic root evaluation prior to transcatheter aortic valve implantation-Correlation of manual and semi-automatic measurements

PloS one, 2018-06, Vol.13 (6), p.e0199732

2018

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Normalizing Flows for Out-of-Distribution Detection: Application to Coronary Artery Segmentation

Applied sciences, 2022-04, Vol.12 (8), p.3839

2022

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Interoperator reliability of an on-site machine learning-based prototype to estimate CT angiography-derived fractional flow reserve

Open heart, 2022-03, Vol.9 (1), p.e001951

2022

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3-D Imaging of Coronary Vessels Using C-arm CT

Schwemmer, Chris

1, 2019

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Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium

Circulation. Cardiovascular imaging, 2018-06, Vol.11 (6), p.e007217-e007217

2018

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CONRAD—A software framework for cone-beam imaging in radiology

Medical physics (Lancaster), 2013-11, Vol.40 (11), p.111914-n/a

2013

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INTER-OPERATOR RELIABILITY OF AN ONSITE MACHINE LEARNING-BASED PROTOTYPE TO ESTIMATE CT ANGIOGRAPHY-DERIVED FRACTIONAL FLOW RESERVE

Journal of the American College of Cardiology, 2021-05, Vol.77 (18), p.1363-1363

2021

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PROGNOSTIC CONCORDANCE OF COMPUTED TOMOGRAPHY DERIVED FRACTIONAL FLOW RESERVE AND MYOCARDIAL PERFUSION IMAGING IN PATIENTS WITH SUSPECTED CORONARY ARTERY DISEASE

Journal of the American College of Cardiology, 2022-03, Vol.79 (9), p.1331

2022

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Evaluation of a Deep Learning–Based Automated CT Coronary Artery Calcium Scoring Algorithm

JACC. Cardiovascular imaging, 2020-02, Vol.13 (2), p.524-526

2020

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PROGNOSTIC VALUE OF COMPUTED TOMOGRAPHY DERIVED FRACTIONAL FLOW RESERVE COMPARISON WITH MYOCARDIAL PERFUSION IMAGING

Journal of the American College of Cardiology, 2021-05, Vol.77 (18), p.1267-1267

2021

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Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes

Radiology, 2022-01, Vol.302 (1), p.50-58

2022

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Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset

European heart journal cardiovascular imaging, 2022-06, Vol.23 (6), p.846-854

2022

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AI-BASED GATED NON-CONTRAST CARDIAC CT MID-DIASTOLIC VOLUME ANALYSES COMPARED TO MULTI-PHASE GATED, CONTRAST CT

Journal of the American College of Cardiology, 2022-03, Vol.79 (9), p.1330

2022

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AI-BASED CARDIAC CHAMBER ANALYSIS FROM NON-CONTRAST, GATED CARDIAC CT

Journal of the American College of Cardiology, 2022-03, Vol.79 (9), p.1250

2022

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Reply to Liu et al

Journal of applied physiology (1985), 2018-10, Vol.125 (4), p.1353-1353

2018

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Prognostic Value of Computed Tomography-Derived Fractional Flow Reserve Comparison With Myocardial Perfusion Imaging

JACC. Cardiovascular imaging, 2022-02, Vol.15 (2), p.284-295

2022

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Fast simulation of x-ray projections of spline-based surfaces using an append buffer

Physics in medicine & biology, 2012-10, Vol.57 (19), p.6193-6210

2012

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Comparison of invasively measured FFR with FFR derived from coronary CT angiography for detection of lesion-specific ischemia: Results from a PC-based prototype algorithm

Journal of cardiovascular computed tomography, 2018-03, Vol.12 (2), p.101-107

2018

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A fully automated software platform for structural mitral valve analysis

European radiology, 2020-12, Vol.30 (12), p.6528-6536

2020

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AI-based, automated chamber volumetry from gated, non-contrast CT

Journal of cardiovascular computed tomography, 2023-09, Vol.17 (5), p.336-340

2023

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Validation of a convolutional neural network algorithm for calcium score quantification using a multivendor dataset

Journal of cardiovascular computed tomography, 2023-11, Vol.17 (6), p.473-475

2023

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Towards Clinical Application of a Laplace Operator-Based Region of Interest Reconstruction Algorithm in C-Arm CT

IEEE transactions on medical imaging, 2014-03, Vol.33 (3), p.593-606

2014

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A machine-learning approach for computation of fractional flow reserve from coronary computed tomography

Machine Learning and Coronary Artery Calcium Scoring

Sex differences in machine learning computed tomography-derived fractional flow reserve

Aortic root evaluation prior to transcatheter aortic valve implantation-Correlation of manual and semi-automatic measurements

Normalizing Flows for Out-of-Distribution Detection: Application to Coronary Artery Segmentation

Interoperator reliability of an on-site machine learning-based prototype to estimate CT angiography-derived fractional flow reserve

3-D Imaging of Coronary Vessels Using C-arm CT

Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium

CONRAD—A software framework for cone-beam imaging in radiology

INTER-OPERATOR RELIABILITY OF AN ONSITE MACHINE LEARNING-BASED PROTOTYPE TO ESTIMATE CT ANGIOGRAPHY-DERIVED FRACTIONAL FLOW RESERVE

PROGNOSTIC CONCORDANCE OF COMPUTED TOMOGRAPHY DERIVED FRACTIONAL FLOW RESERVE AND MYOCARDIAL PERFUSION IMAGING IN PATIENTS WITH SUSPECTED CORONARY ARTERY DISEASE

Evaluation of a Deep Learning–Based Automated CT Coronary Artery Calcium Scoring Algorithm

PROGNOSTIC VALUE OF COMPUTED TOMOGRAPHY DERIVED FRACTIONAL FLOW RESERVE COMPARISON WITH MYOCARDIAL PERFUSION IMAGING

Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes

Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset

AI-BASED GATED NON-CONTRAST CARDIAC CT MID-DIASTOLIC VOLUME ANALYSES COMPARED TO MULTI-PHASE GATED, CONTRAST CT

AI-BASED CARDIAC CHAMBER ANALYSIS FROM NON-CONTRAST, GATED CARDIAC CT

Reply to Liu et al

Prognostic Value of Computed Tomography-Derived Fractional Flow Reserve Comparison With Myocardial Perfusion Imaging

Fast simulation of x-ray projections of spline-based surfaces using an append buffer

Comparison of invasively measured FFR with FFR derived from coronary CT angiography for detection of lesion-specific ischemia: Results from a PC-based prototype algorithm

A fully automated software platform for structural mitral valve analysis

AI-based, automated chamber volumetry from gated, non-contrast CT

Validation of a convolutional neural network algorithm for calcium score quantification using a multivendor dataset

Towards Clinical Application of a Laplace Operator-Based Region of Interest Reconstruction Algorithm in C-Arm CT

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