F. Commandeur

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.

Haralick textural features on T2‐weighted MRI are associated with biochemical recurrence following radiotherapy for peripheral zone prostate cancer

Oscar Acosta, Yan Rolland, Mathieu Hatt, 2017, Journal of magnetic resonance imaging : JMRI.

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.

Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study.

D. Dey, D. Berman, S. Achenbach, 2019, Radiology. Artificial intelligence.

Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.

Xi Chen, D. Dey, D. Berman, 2019, Cardiovascular research.

Cardiac CT: Technological Advances in Hardware, Software, and Machine Learning Applications

D. Dey, F. Commandeur, M. Goeller, 2018, Current Cardiovascular Imaging Reports.

Radiomics to Identify High-Risk Atherosclerotic Plaque From Computed Tomography: The Power of Quantification.

Damini Dey, Frederic Commandeur, D. Dey, 2017, Circulation. Cardiovascular imaging.

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 .

Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.

Xi Chen, D. Dey, H. Gransar, 2019, Cardiovascular research.

Deep Learning–Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects

D. Dey, D. Berman, S. Achenbach, 2020, Circulation. Cardiovascular imaging.

Tissue by Deep Learning: A Multicenter Study

Xi Chen, D. Dey, S. Achenbach, 2019 .

Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography.

D. Dey, D. Berman, S. Achenbach, 2019, European heart journal cardiovascular Imaging.

Prediction of Geometric Variations of the Bladder in Image Guided Radiotherapy of Prostate Cancer

R. Crevoisier, C. Lafond, F. Commandeur, 2016 .

Slice correspondence estimation using SURF descriptors and context-based search for prostate whole-mount histology MRI registration

N. Rioux-Leclercq, O. Acosta, E. Romero, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A VTK Algorithm for the Computation of the Hausdorff Distance

F. Commandeur, J. Velut, O. Acosta, 2011, The VTK Journal.

Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study

D. Dey, D. Berman, H. Gransar, 2021, Cardiovascular Diabetology.

Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery Disease

D. Dey, D. Berman, S. Achenbach, 2018, JAMA cardiology.

Population model of bladder motion and deformation based on dominant eigenmodes and mixed‐effects models in prostate cancer radiotherapy

Pascal Haigron, Richard Ríos, Renaud de Crevoisier, 2017, Medical Image Anal..

A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy

Pascal Haigron, Richard Ríos, Renaud de Crevoisier, 2013, MICCAI.

MRI to CT Prostate Registration for Improved Targeting in Cancer External Beam Radiotherapy

Pascal Haigron, Antoine Simon, Oscar Acosta, 2017, IEEE Journal of Biomedical and Health Informatics.

Propagation of the MRI prostate delineation to the planning CT: A new matching contour framework

Pascal Haigron, Renaud de Crevoisier, Frederic Commandeur, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study.

D. Dey, D. Berman, S. Achenbach, 2020, Atherosclerosis.

Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT.

D. Dey, D. Berman, P. Kaufmann, 2020, European heart journal cardiovascular Imaging.

Deep learning-based stenosis quantification from coronary CT angiography

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2019, Medical Imaging: Image Processing.

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.

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.

Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects.

Xi Chen, D. Dey, D. Berman, 2017, Journal of cardiovascular computed tomography.

Hierarchical eigenmodes to characterize bladder motion and deformation in prostate cancer radiotherapy

Frederic Commandeur, Caroline Lafond, Jairo Espinosa, 2017, Symposium on Medical Information Processing and Analysis.

Evaluation of multi-atlas-based segmentation of CT scans in prostate cancer radiotherapy

Pascal Haigron, Renaud de Crevoisier, Frederic Commandeur, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Prostate whole-mount histology reconstruction and registration to MRI for correlating in-vivo observations with biological findings

Pascal Haigron, Renaud de Crevoisier, Frederic Commandeur, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).