J. Betancur

发表

Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.

D. Dey, D. Berman, G. Germano, 2018, JACC. Cardiovascular imaging.

Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study

Piotr J. Slomka, Mathews B. Fish, Daniel S. Berman, 2018, The Journal of Nuclear Medicine.

Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.

Damini Dey, Guido Germano, Piotr J Slomka, 2017, JACC. Cardiovascular imaging.

Multimodal Image Fusion for Cardiac Resynchronization Therapy Planning

Alfredo I. Hernández, M. Garreau, C. Leclercq, 2018 .

Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation

D. Dey, D. Berman, G. Germano, 2017, The Journal of Nuclear Medicine.

MACHINE LEARNING IN PREDICTING CORONARY HEART DISEASE AND CARDIOVASCULAR DISEASE EVENTS: RESULTS FROM THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA)

D. Dey, D. Berman, M. Budoff, 2018 .

Segmentation-free MRI to CT 3D registration for Cardiac Resynchronization Therapy optimization

M. Garreau, C. Leclercq, F. Tavard, 2012, Computers in cardiology.

5-year Prognostic Value of Quantitative vs Visual Myocardial Perfusion Imaging in Subtle Perfusion Defects: Results From the REFINE SPECT Registry

Damini, D. Berman, G. Germano, 2020 .

Registration of dynamic multiview 2D ultrasound and late gadolinium enhanced images of the heart: Application to hypertrophic cardiomyopathy characterization

Antoine Simon, Mireille Garreau, Erwan Donal, 2016, Medical Image Anal..

Dynamic registration of cardiac US and CT data using Fourier descriptors and Dynamic Time Warping

Antoine Simon, Mireille Garreau, Erwan Donal, 2012, 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA).

Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets

Jürgen Weese, Sébastien Ourselin, Kawal S. Rhode, 2015, IEEE Transactions on Medical Imaging.

Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT)

Piotr J. Slomka, Mathews B. Fish, Daniel S. Berman, 2018, Journal of Nuclear Cardiology.

Machine Learning Adds to Clinical and CAC Assessments in Predicting 10-Year CHD and CVD Deaths.

D. Berman, M. Budoff, H. Gransar, 2020, JACC. Cardiovascular imaging.

Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT

D. Dey, D. Berman, P. Kaufmann, 2021, Journal of Nuclear Cardiology.

5-Year Prognostic Value of Quantitative Versus Visual MPI in Subtle Perfusion Defects: Results From REFINE SPECT.

Damini Dey, Guido Germano, Piotr J Slomka, 2020, JACC. Cardiovascular imaging.

Transient ischaemic dilation and post-stress wall motion abnormality increase risk in patients with less than moderate ischaemia: analysis of the REFINE SPECT registry.

D. Dey, D. Berman, G. Germano, 2019, European heart journal cardiovascular Imaging.

Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: A report from REFINE SPECT registry

D. Dey, D. Berman, G. Germano, 2019, Journal of Nuclear Cardiology.

Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2018, IEEE Transactions on Medical Imaging.

Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2018, European Radiology.

Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry.

Damini Dey, Guido Germano, Piotr J Slomka, 2019, European heart journal cardiovascular Imaging.

Left Atrial Segmentation Challenge 2013: MRI training

Maria A. Zuluaga, M. A. Chikh, A. J. Geers, 2015 .

CAD-based x-ray CT calibration and error compensation

S. Roux, J. Betancur, Clément Remacha, 2022, Measurement Science and Technology.

Multi-atlas-Based Segmentation of the Left Atrium and Pulmonary Veins

Jean-Louis Dillenseger, Julián Betancur, Zulma L. Sandoval, 2013, STACOM.

Synchronization and Registration of Cine Magnetic Resonance and Dynamic Computed Tomography Images of the Heart

Antoine Simon, Mireille Garreau, Christophe Leclercq, 2016, IEEE Journal of Biomedical and Health Informatics.

Spatio-temporal Registration of 2D US and 3D MR Images for the Characterization of Hypertrophic Cardiomyopathy

Antoine Simon, Mireille Garreau, Erwan Donal, 2013, FIMH.

Abstract 15137: Machine Learning Adds to Standard Clinical & CAC Assessments in Predicting 10-Year Coronary Heart Disease & Cardiovascular Disease Deaths: Insight From the Coronary Artery Calcium Consortium of 66,636 Patients

D. Berman, H. Gransar, L. Shaw, 2017 .

Evaluation of a motion artifacts removal approach on breath-hold cine-magnetic resonance images of hypertrophic cardiomyopathy subjects

Mireille Garreau, Erwan Donal, Alfredo I. Hernández, 2013, Other Conferences.

Dynamic registration of multiple-view-US and MRI for the characterization of hypertrophic cardiomyopathy

Antoine Simon, Mireille Garreau, Erwan Donal, 2013, Computing in Cardiology 2013.