Daniel S. Berman

发表

Quantitative myocardial-perfusion SPECT: Comparison of three state-of-the-art software packages

Arik Wolak, Piotr J. Slomka, Mathews B. Fish, 2007, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

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.

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.

Quantitative analysis of myocardial perfusion images

Yuan Xu, Piotr J. Slomka, Daniel S. Berman, 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

Automated detection of contractile abnormalities from stress-rest motion changes

Piotr J. Slomka, Daniel S. Berman, Guido Germano, 2012, Medical Imaging.

Combining active appearance and deformable superquadric models for LV segmentation in cardiac MRI

Piotr J. Slomka, Daniel S. Berman, Demetri Terzopoulos, 2013, Medical Imaging.

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.

DGA CapsNet: 1D Application of Capsule Networks to DGA Detection

Daniel S. Berman, Daniel S. Berman, D. S. Berman, 2019, Inf..

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.

A Survey of Deep Learning Methods for Cyber Security

Daniel S. Berman, Anna L. Buczak, Cherita L. Corbett, 2019, Inf..

Recent developments and applications of hybrid imaging techniques

Daniel S. Berman, Guido Germano, Piotr Slomka, 2017 .

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

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

Using sequential pattern mining for common event format (CEF) cyber data

Daniel S. Berman, Anna L. Buczak, Jeffrey S. Chavis, 2017, CISRC.

MutaGAN: A sequence-to-sequence GAN framework to predict mutations of evolving protein populations pdf

Daniel S. Berman, Craig Howser, Thomas Mehoke, 2020, Virus evolution.

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.

Myocardial wall thickening from gated magnetic resonance images using Laplace's equation

Piotr J. Slomka, Daniel S. Berman, P. Kavanagh, 2009, Medical Imaging.

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.

A randomized, placebo-controlled trial of late Na current inhibition (ranolazine) in coronary microvascular dysfunction (CMD): impact on angina and myocardial perfusion reserve

Galen Cook-Wiens, André Rogatko, Daniel S. Berman, 2015, European heart journal.

Variability in Ejection Fraction Measured By Echocardiography, Gated Single-Photon Emission Computed Tomography, and Cardiac Magnetic Resonance in Patients With Coronary Artery Disease and Left Ventricular Dysfunction

Daniel S. Berman, Julio A. Panza, Gerald M. Pohost, 2018, JAMA network open.

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.

Automatic quantification of left ventricular ejection fraction from gated blood pool SPECT

Daniel S. Berman, Guido Germano, D. Berman, 1999, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

MULTICENTER EVALUATION OF DUAL SOURCE CT CORONARY ANGIOGRAPHY IN PATIENTS WITH INTERMEDIATE LIKELIHOOD OF CORONARY ARTERY STENOSES (MEDIC): ACCURACY FOR THE DETECTION OF INDIVIDUALS WITH SIGNIFICANT CORONARY ARTERY STENOSES

Daniel S. Berman, Udo Hoffmann, Peter Aulbach, 2012 .

Prognostic validation of a 17-segment score derived from a 20-segment score for myocardial perfusion spect interpretation

Daniel S. Berman, Guido Germano, James Gerlach, 2004, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

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.

Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC

Venkatesh L. Murthy, Piotr J. Slomka, Daniel S. Berman, 2017, Journal of Nuclear Cardiology.

CT Quantification of Epicardial Fat: Implications for Cardiovascular Risk Assessment

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

Prognostic value of automated vs visual analysis for adenosine stress myocardial perfusion SPECT in patients without prior coronary artery disease: A case-control study

Piotr J. Slomka, Daniel S. Berman, Guido Germano, 2011, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

Cardiac SPECT imaging

Daniel S. Berman, E. Gordon DePuey, D. Berman, 1994, Cardiovascular Drugs and Therapy.

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.

Mortality risk in symptomatic patients with nonobstructive coronary artery disease: a prospective 2-center study of 2,583 patients undergoing 64-detector row coronary computed tomographic angiography.

Daniel S. Berman, Jonathan W. Weinsaft, Jin-Ho Choi, 2011, Journal of the American College of Cardiology.

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.

American society of nuclear cardiology position statement on electrocardiographic gating of myocardial perfusion SPECT scintigrams

Daniel S. Berman, Dawn Edgerton, Manuel D. Cerqueira, 1999, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

TCT-19 Fractional Flow Reserved Derived From Computed Tomographic Angiography (FFRCT) for Intermediate Severity Coronary Lesions: Results from the DeFACTO Trial (Determination of Fractional Flow Reserve by Anatomic Computed TOmographic Angiography)

Daniel S. Berman, James K. Min, Laura Mauri, 2012 .

Prognostic value of poststress left ventricular volume and ejection fraction by gated myocardial perfusion SPECT in women and men: Gender-related differences in normal limits and outcomes

Daniel S. Berman, Guido Germano, Jeroen J. Bax, 2006, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

Quantitation in gated perfusion SPECT imaging: The Cedars-Sinai approach

Piotr J. Slomka, Daniel S. Berman, Guido Germano, 2007, Journal of nuclear cardiology : official publication of the American Society 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.

Validation of a two minute technique for multiple gated scintigraphic assessment of left ventricular ejection fraction and regional wall motion

Daniel S. Berman, D. Berman, J. Maddahi, 1978 .

Automatic and visual reproducibility of perfusion and function measures for myocardial perfusion SPECT

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

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.

Comparison of Clinical Tools for Measurements of Regional Stress and Rest Myocardial Blood Flow Assessed with 13N-Ammonia PET/CT

Piotr J. Slomka, Daniel S. Berman, Guido Germano, 2012, The Journal of Nuclear Medicine.

Comprehensive Non-contrast CT Imaging of the Vulnerable Patient

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

Myocardial perfusion and function: Single photon emission computed tomography

Daniel S. Berman, Guido Germano, Seth T. Dahlberg, 2006, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

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.

Standardization of cardiac tomographic imaging

Daniel S. Berman, Frans J. Th. Wackers, Barry L. Zaret, 1992 .

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.

An automatic approach to the analysis, quantitation and review of perfusion and function from myocardial perfusion SPECT images

Daniel S. Berman, Guido Germano, D. Berman, 1997, The International Journal of Cardiac Imaging.

Left ventricular ejection fraction determined by radionuclide ventriculography in early stages of first transmural myocardial infarction

Daniel S. Berman, D. Berman, P. Shah, 1980 .

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.

Myocardial perfusion and function single photon emission computed tomography

Daniel S. Berman, Seth T. Dahlberg, James R. Galt, 2006, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

Asymptomatic Atherosclerosis. Pathophysiology, Detection and Treatment

Daniel S. Berman, Morteza Naghavi, Valentin Fuster, 2010 .

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.

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.

D-SPECT: A new solid state camera for high speed molecular imaging

Sanjiv S. Gambhir, Daniel S. Berman, Shankar Vallabhajosula, 2006 .

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.

Updated Imaging Guidelines for Nuclear Cardiology Procedures

Daniel S. Berman, Albert J. Sinusas, Stephen L. Bacharach, 2001 .

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 .

Simplified normal limits and automated quantitative assessment for attenuation-corrected myocardial perfusion SPECT

Piotr J. Slomka, Mathews B. Fish, Santiago Lorenzo, 2006, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

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.

Is Metabolic Syndrome Predictive of Prevalence, Extent, and Risk of Coronary Artery Disease beyond Its Components? Results from the Multinational Coronary CT Angiography Evaluation for Clinical Outcome: An International Multicenter Registry (CONFIRM)

Daniel S. Berman, James K. Min, Mouaz Al-Mallah, 2015, PloS one.