Piotr J. Slomka

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.

Multiphase segmentation using an implicit dual shape prior: Application to detection of left ventricle in cardiac MRI

Piotr J. Slomka, C.-C. Jay Kuo, Jonghye Woo, 2013, Comput. Vis. Image Underst..

Java-based PACS and reporting system for nuclear medicine

Piotr J. Slomka, Edward Elliott, Albert A. Driedger, 2000, Medical Imaging.

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 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.

Automated detection of contractile abnormalities from stress-rest motion changes

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

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.

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.

Constrained localized-warping-reduced registration errors due to lesions in functional neuroimages

Piotr J. Slomka, Leif Svensson, Perry E. Radau, 2001, SPIE Medical Imaging.

Non-Rigid Ultrasound Image Registration Based on Intensity and Local Phase Information

K. Kirk Shung, Piotr J. Slomka, C.-C. Jay Kuo, 2008, J. Signal Process. Syst..

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 .

Multimodality image registration with software: state-of-the-art

Piotr J. Slomka, Richard P. Baum, P. Slomka, 2009, European Journal of Nuclear Medicine and Molecular Imaging.

Deep learning-based stenosis quantification from coronary CT angiography

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

Automated 3D registration of magnetic resonance angiography, 3D power doppler, and 3D B-mode ultrasound images of carotid bifurcation

Piotr J. Slomka, Aaron Fenster, Dónal B. Downey, 2000, 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.

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.

Automated segmentation and registration technique for HMPAO-SPECT imaging of Alzheimer's patients

Piotr J. Slomka, Leif Svensson, Perry E. Radau, 2000, Medical Imaging: Image Processing.

The Status and Future of PET Myocardial Blood Flow Quantification Software

Piotr J. Slomka, Juhani Knuuti, Benjamin C. Lee, 2016 .

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.

Interactive volume rendering of multimodality 4D cardiac data with the use of consumer graphics hardware

Piotr J. Slomka, Sabine Iserhardt-Bauer, Magnus Strengert, 2003, SPIE Medical Imaging.

Automated epicardial fat volume quantification from non-contrast CT

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

Curve evolution with a dual shape similarity and its application to segmentation of left ventricle

Piotr J. Slomka, C.-C. Jay Kuo, Jonghye Woo, 2009, 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 .

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.

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.

Evaluation of the effect of reducing administered activity on assessment of function in cardiac gated SPECT

Michael A. King, Piotr J. Slomka, Miles N. Wernick, 2018, 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.

Automated template-based quantification of brain SPET

Piotr J. Slomka, R. H. Reid, P. Slomka, 1995 .

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.

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.

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.

Attenuation correction in cardiac spect: the boy who cried wolf?

Piotr J. Slomka, Guido Germano, G. Germano, 2007, 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.

The cortical representation of somatosensory evoked potentials of the phrenic nerve

Charles F. Bolton, Piotr J. Slomka, Robert H. Reid, 1996, Journal of the Neurological Sciences.

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.

Enhancing Cardiac PET by Motion Correction Techniques

Piotr J. Slomka, Adam Alessio, Mathieu Rubeaux, 2017, Current Cardiology Reports.

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.

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.

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.