Damini Dey

发表

Automated multi-modality registration of 64-slice coronary CT angiography with myocardial perfusion spect

Piotr J. Slomka, Daniel S. Berman, C.-C. Jay Kuo, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Acceleration of 3D, nonlinear warping using standard video graphics hardware: implementation and initial validation.

David Levin, Damini Dey, Piotr J Slomka, 2004, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Segmentation of the Thoracic Aorta in Noncontrast Cardiac CT Images

Ioannis A. Kakadiaris, Daniel S. Berman, Damini Dey, 2013, IEEE Journal of Biomedical and Health Informatics.

Feasibility of determining myocardial transient ischemic dilation from cardiac CT by automated stress/rest registration

Piotr J. Slomka, Daniel S. Berman, Jonghye Woo, 2012, Medical Imaging.

Automated three-dimensional spatial standardization and quantification of myocardial perfusion tomography: alternative to polar maps

Piotr J. Slomka, Damini Dey, Perry E. Radau, 2000, Medical Imaging.

Structured learning algorithm for detection of nonobstructive and obstructive coronary plaque lesions from computed tomography angiography

C.-C. Jay Kuo, Damini Dey, C-C Jay Kuo, 2015, Journal of medical imaging.

Four-dimensional multimodality image registration applied to gated SPECT and gated MRI

Piotr J. Slomka, Damini Dey, Usaf E. Aladl, 2003, SPIE Medical Imaging.

Calcium removal from cardiac ct images using deep convolutional neural network

Damini Dey, Feng Shi, Debiao Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2016, SPIE Medical Imaging.

Cardiac imaging: working towards fully-automated machine analysis & interpretation

Damini Dey, Guido Germano, Piotr J Slomka, 2017, Expert review of medical devices.

Image denoising of low-radiation dose coronary CT angiography by an adaptive block-matching 3D algorithm

Piotr J. Slomka, Daniel S. Berman, Dongwoo Kang, 2013, Medical Imaging.

Mapping of endoscopic images to object surfaces via ray-traced texture mapping for image guidance in neurosurgery

Piotr J. Slomka, David G. Gobbi, Damini Dey, 2000, Medical Imaging.

Automatic fusion of freehand endoscopic brain images to three-dimensional surfaces: creating stereoscopic panoramas

Terry M. Peters, Piotr J. Slomka, David G. Gobbi, 2002, IEEE Transactions on Medical Imaging.

Heart chambers and whole heart segmentation techniques: review

Piotr J. Slomka, Dongwoo Kang, C.-C. Jay Kuo, 2012, J. Electronic Imaging.

Efficient 3D nonlinear warping of computed tomography: two high-performance implementations using OpenGL

David Levin, Piotr J. Slomka, Damini Dey, 2005, SPIE Medical Imaging.

Automatic detection of significant and subtle arterial lesions from coronary CT angiography

Piotr J. Slomka, Daniel S. Berman, Dongwoo Kang, 2012, Medical Imaging.

Automatic valve plane localization in myocardial perfusion SPECT images using machine learning

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2016 .

Deep learning-based stenosis quantification from coronary CT angiography

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

Automated pericardial fat quantification from coronary magnetic resonance angiography: feasibility study

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2015, MIUA.

Mixed Reality Merging of Endoscopic Images and 3-D Surfaces

Terry M. Peters, Piotr J. Slomka, David G. Gobbi, 2000, MICCAI.

Artificial intelligence: improving the efficiency of cardiovascular imaging

Damini Dey, Piotr J Slomka, Ivana Išgum, 2020, Expert review of medical devices.

Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks

Qi Yang, Damini Dey, Feng Shi, 2019, IEEE Transactions on Biomedical Engineering.

Automated coronary artery calcium scoring from non-contrast CT using a patient-specific algorithm

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2015, Medical Imaging.

Automated algorithm for atlas-based segmentation of the heart and pericardium from non-contrast CT

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2010, Medical Imaging.

Feature-based non-rigid volume registration of serial coronary CT angiography

Piotr J. Slomka, Daniel S. Berman, C.-C. Jay Kuo, 2009, Medical Imaging.

Demons versus level-set motion registration for coronary 18F-sodium fluoride PET

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2016, SPIE Medical Imaging.

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.

Cascaded regression for CT slice localization

Ioannis A. Kakadiaris, Daniel S. Berman, Damini Dey, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic segmentation of the diaphragm in non-contrast CT images

Ioannis A. Kakadiaris, Daniel S. Berman, Damini Dey, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Knowledge-based quantification of pericardial fat in non-contrast CT data

Ioannis A. Kakadiaris, Daniel S. Berman, Damini Dey, 2010, Medical Imaging.

Automated epicardial fat volume quantification from non-contrast CT

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2014, Medical Imaging.

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks

Piotr J. Slomka, Damini Dey, Gianfranco Parati, 2021, ArXiv.

Computed tomography and artificial intelligence

Piotr J. Slomka, Damini Dey, Donghee Han, 2021 .

Geometric feature-based multimodal image registration of contrast-enhanced cardiac CT with gated myocardial perfusion SPECT.

C.-C. Jay Kuo, Jonghye Woo, Damini Dey, 2009, Medical physics.

Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2017, European heart journal cardiovascular Imaging.

Enhanced definition PET for cardiac imaging

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2010, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

Algorithm for radiation dose reduction with helical dual source coronary computed tomography angiography in clinical practice.

Arik Wolak, Damini Dey, Guido Germano, 2008, Journal of cardiovascular computed tomography.

Increased pericardial fat volume measured from noncontrast CT predicts myocardial ischemia by SPECT.

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2010, JACC. Cardiovascular imaging.

Improved Accuracy of Myocardial Perfusion SPECT for the Detection of Coronary Artery Disease Using a Support Vector Machine Algorithm

Damini Dey, Guido Germano, Reza Arsanjani, 2013, The Journal of Nuclear Medicine.

Noncalcified Coronary Plaque Volumes in Healthy People With a Family History of Early Onset Coronary Artery Disease

Damini Dey, Rehan Qayyum, Elliot K Fishman, 2014, Circulation. Cardiovascular imaging.

CT Quantification of Epicardial Fat: Implications for Cardiovascular Risk Assessment

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2012, Current Cardiovascular Imaging Reports.

Motion Correction of 18F-NaF PET for Imaging Coronary Atherosclerotic Plaques

Damini Dey, Guido Germano, Piotr J Slomka, 2016, The Journal of Nuclear Medicine.

What have we learned from CONFIRM? Prognostic implications from a prospective multicenter international observational cohort study of consecutive patients undergoing coronary computed tomographic angiography

Daniel S. Berman, Damini Dey, James K. Min, 2012, Journal of Nuclear Cardiology.

Automated 3-dimensional registration of stand-alone (18)F-FDG whole-body PET with CT.

Damini Dey, Piotr J Slomka, Richard P Baum, 2003, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

Coronary calcium scoring from contrast coronary CT angiography using a semiautomated standardized method.

Damini Dey, Daniel S Berman, Piotr Slomka, 2015, Journal of cardiovascular computed tomography.

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.

Increased volume of epicardial fat is an independent risk factor for accelerated progression of sub-clinical coronary atherosclerosis.

Damini Dey, Avijit Lahiri, Daniel S Berman, 2012, Atherosclerosis.

Assessment of left ventricular regional wall motion and ejection fraction with low-radiation dose helical dual-source CT: comparison to two-dimensional echocardiography.

Daniel S. Berman, Damini Dey, Ryo Nakazato, 2011, Journal of cardiovascular computed tomography.

Threshold for the upper normal limit of indexed epicardial fat volume: derivation in a healthy population and validation in an outcome-based study.

Damini Dey, Piotr J Slomka, Ryo Nakazato, 2011, The American journal of cardiology.

Relationship Between Quantitative Adverse Plaque Features From Coronary Computed Tomography Angiography and Downstream Impaired Myocardial Flow Reserve by 13N-Ammonia Positron Emission Tomography: A Pilot Study

Damini Dey, Guido Germano, Piotr J Slomka, 2015, Circulation. Cardiovascular imaging.

Improved accuracy of myocardial perfusion SPECT for detection of coronary artery disease by machine learning in a large population

Piotr J. Slomka, Damini Dey, Guido Germano, 2013, Journal of Nuclear Cardiology.

Advances in Nuclear Cardiac Instrumentation with a View Towards Reduced Radiation Exposure

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2012, Current Cardiology Reports.

Automated three-dimensional quantification of noncalcified coronary plaque from coronary CT angiography: comparison with intravascular US.

Damini Dey, Piotr J Slomka, Daniel S Berman, 2010, Radiology.

Motion frozen 18F-FDG cardiac PET

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2010, Journal of nuclear cardiology : official publication of the American Society 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.

Dual-Gated Motion-Frozen Cardiac PET with Flurpiridaz F 18

Damini Dey, Guido Germano, Tinsu Pan, 2015, The Journal of Nuclear Medicine.

Relationship of epicardial fat volume to coronary plaque, severe coronary stenosis, and high-risk coronary plaque features assessed by coronary CT angiography.

Damini Dey, Piotr J Slomka, Ryo Nakazato, 2013, Journal of cardiovascular computed tomography.

Combined Quantitative Assessment of Myocardial Perfusion and Coronary Artery Calcium Score by Hybrid 82Rb PET/CT Improves Detection of Coronary Artery Disease

André Rogatko, Damini Dey, Guido Germano, 2015, The Journal of Nuclear Medicine.

Epicardial and thoracic fat - Noninvasive measurement and clinical implications.

Damini Dey, Ryo Nakazato, Debiao Li, 2012, Cardiovascular diagnosis and therapy.

Comprehensive Non-contrast CT Imaging of the Vulnerable Patient

Ioannis A. Kakadiaris, Daniel S. Berman, Damini Dey, 2011 .

Automated 3-dimensional quantification of noncalcified and calcified coronary plaque from coronary CT angiography.

Damini Dey, Amit Ramesh, Guido Germano, 2009, Journal of cardiovascular computed tomography.

Erratum to: Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2017, Journal of Nuclear Cardiology.

Interscan reproducibility of computer-aided epicardial and thoracic fat measurement from noncontrast cardiac CT.

Damini Dey, Piotr J Slomka, Ryo Nakazato, 2011, Journal of cardiovascular computed tomography.

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

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

Direct quantitative in vivo comparison of calcified atherosclerotic plaque on vascular MRI and CT by multimodality image registration

Damini Dey, Daniel S Berman, Rola Saouaf, 2006, Journal of magnetic resonance imaging : JMRI.

Automated pericardium delineation and epicardial fat volume quantification from noncontrast CT.

Damini Dey, Piotr J Slomka, Daniel S Berman, 2015, Medical physics.

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.

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.

Automatic registration of misaligned CT attenuation correction maps in Rb-82 PET/CT improves detection of angiographically significant coronary artery disease

Piotr J. Slomka, Damini Dey, Guido Germano, 2015, Journal of Nuclear Cardiology.

Not all body fat weighs equally in the acceleration of coronary artery disease.

Damini Dey, Daniel S Berman, D. Dey, 2010, 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.

Pericardial fat burden on ECG-gated noncontrast CT in asymptomatic patients who subsequently experience adverse cardiovascular events.

Damini Dey, Amit Ramesh, Piotr J Slomka, 2010, JACC. Cardiovascular imaging.

Imaging of coronary atherosclerosis — evolution towards new treatment strategies

Damini Dey, Manish Motwani, Piotr Slomka, 2016, Nature Reviews Cardiology.

Interscan reproducibility of quantitative coronary plaque volume and composition from CT coronary angiography using an automated method

Daniel S. Berman, Damini Dey, Piotr Slomka, 2013, European Radiology.

Geometric feature-based multimodal image registration of contrast-enhanced cardiac CT with gated myocardial perfusion SPECT.

C.-C. Jay Kuo, Jonghye Woo, Damini Dey, 2009, Medical physics.

State-of-the-art in CT hardware and scan modes for cardiovascular CT.

Damini Dey, Mahadevappa Mahesh, Andrew J Einstein, 2012, Journal of cardiovascular computed tomography.

Quantitative plaque features from coronary computed tomography angiography to identify regional ischemia by myocardial perfusion imaging

Daniel S. Berman, Damini Dey, Guido Germano, 2017, European heart journal cardiovascular Imaging.

Automated Quantitative Plaque Burden from Coronary CT Angiography Noninvasively Predicts Hemodynamic Significance by using Fractional Flow Reserve in Intermediate Coronary Lesions.

Damini Dey, Piotr J Slomka, Ryo Nakazato, 2015, Radiology.

Comparison of the extent and severity of myocardial perfusion defects measured by CT coronary angiography and SPECT myocardial perfusion imaging.

Damini Dey, Guido Germano, Piotr J Slomka, 2010, JACC. Cardiovascular imaging.

IMPROVED ACCURACY OF MYOCARDIAL PERFUSION SPECT FOR DETECTION OF CORONARY ARTERY DISEASE BY MACHINE LEARNING IN A LARGE POPULATION

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2013 .

Automated image registration of gated cardiac single‐photon emission computed tomography and magnetic resonance imaging

Damini Dey, Maria Drangova, Piotr J Slomka, 2004, Journal of magnetic resonance imaging : JMRI.

Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population

Daniel S. Berman, Damini Dey, Guido Germano, 2015, Journal of Nuclear Cardiology.

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

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