Piotr J. Slomka - researchr alias

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Viewing Publication 1 - 39 from 39

2024

AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imagingRobert J. H. Miller, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley, Bryan P. Bednarski, Serge D. Van Kriekinge, Paul Kavanagh, Attila Feher, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Valerie Builoff, Daniel S. Berman, Damini Dey, Piotr J. Slomka. npjdm, 7(1), 2024. [doi]

2023

Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome predictionBryan P. Bednarski, Aakash D. Shanbhag, Ananya Singh, Robert J. H. Miller, Heidi Gransar, Keiichiro Kuronuma, Tali Sharir, Sharmila Dorbala, Marcelo Di Carli, Matthews B. Fish, Terrence D. Ruddy, Daniel S. Berman, Damini Dey, Piotr J. Slomka. miip 2023: [doi]

Pseudo-contrast cardiac CT angiography derived from non-contrast CT using conditional generative adversarial networksAditya Killekar, Jacek Kwiecinski, Mariusz Kruk, Cezary Kepka, Aakash D. Shanbhag, Damini Dey, Piotr J. Slomka. miip 2023: [doi]

Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CTAakash D. Shanbhag, Konrad Pieszko, Robert J. H. Miller, Aditya Killekar, Waechter Parker, Heidi Gransar, Michelle Williams, Daniel S. Berman, Damini Dey, Piotr J. Slomka. miip 2023: [doi]

2022

Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networksKonrad Pieszko, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley, Yuka Otaki, Serge D. Van Kriekinge, Paul Kavanagh, Robert J. H. Miller, Edward J. Miller, Timothy M. Bateman, Damini Dey, Daniel S. Berman, Piotr J. Slomka. miip 2022: [doi]

Explainable artificial-intelligence for diagnosis and risk estimation from cardiovascular imagesPiotr J. Slomka. miip 2022: [doi]

2019

Deep learning-based stenosis quantification from coronary CT angiographyYoungtaek Hong, Frederic Commandeur, Sebastien Cadet, Markus Goeller, Mhairi Doris, Xi Chen, Jacek Kwiecinski, Daniel S. Berman, Piotr J. Slomka, Hyuk-Jae Chang, Damini Dey. miip 2019: [doi]

2018

Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CTFrederic Commandeur, Markus Goeller, Julián Betancur, Sebastien Cadet, Mhairi Doris, Xi Chen, Daniel S. Berman, Piotr J. Slomka, Balaji Tamarappoo, Damini Dey. tmi, 37(8):1835-1846, 2018. [doi]

2016

2015

2014

Automated epicardial fat volume quantification from non-contrast CTXiaowei Ding, Demetri Terzopoulos, Mariana Diaz-Zamudio, Daniel S. Berman, Piotr J. Slomka, Damini Dey. miip 2014: [doi]

2013

2012

Automatic detection of significant and subtle arterial lesions from coronary CT angiographyDongwoo Kang, Piotr J. Slomka, Ryo Nakazato, Victor Cheng, James K. Min, Debiao Li, Daniel S. Berman, C. C. Jay Kuo, Damini Dey. miip 2012: 831435 [doi]

Heart chambers and whole heart segmentation techniques: reviewDongwoo Kang, Jonghye Woo, Piotr J. Slomka, Damini Dey, Guido Germano, C. C. Jay Kuo. jei, 21(1):10901, 2012. [doi]

Automated detection of contractile abnormalities from stress-rest motion changesShahryar Karimi-Ashtiani, Reza Arsanjani, Mathews Fish, Daniel S. Berman, Paul Kavanagh, Guido Germano, Piotr J. Slomka. micad 2012: [doi]

Quantitative analysis of myocardial perfusion imagesPiotr J. Slomka, Reza Arsanjani, Yuan Xu, Daniel S. Berman, Guido Germano. apsipa 2012: 1-9 [doi]

Feasibility of determining myocardial transient ischemic dilation from cardiac CT by automated stress/rest registrationJonghye Woo, Piotr J. Slomka, Ryo Nakazato, Balaji Tamarappoo, James K. Min, Guido Germano, Daniel S. Berman, Damini Dey. miip 2012: [doi]

2010

Automated algorithm for atlas-based segmentation of the heart and pericardium from non-contrast CTDamini Dey, Amit Ramesh, Piotr J. Slomka, Ryo Nakazato, Victor Cheng, Guido Germano, Daniel S. Berman. miip 2010: 762337 [doi]

2009

Myocardial wall thickening from gated magnetic resonance images using Laplace's equationM. Prasad, A. Ramesh, P. Kavanagh, J. Gerlach, G. Germano, Daniel S. Berman, Piotr J. Slomka. micad 2009: [doi]

Feature-based non-rigid volume registration of serial coronary CT angiographyJonghye Woo, Byung-Woo Hong, Damini Dey, Victor Cheng, Amit Ramesh, Ganesh Sundaramoorthi, C. C. Jay Kuo, Daniel S. Berman, Guido Germano, Piotr J. Slomka. miip 2009: [doi]

Curve evolution with a dual shape similarity and its application to segmentation of left ventricleJonghye Woo, Byung-Woo Hong, Amit Ramesh, Guido Germano, C. C. Jay Kuo, Piotr J. Slomka. miip 2009: [doi]

Automated Multi-Modality Registration of 64-Slice Coronary CT Angiography with Myocardial Perfusion SpectJonghye Woo, Piotr J. Slomka, Damini Dey, Victor Cheng, Amit Ramesh, Byung-Woo Hong, Daniel Berman, C. C. Jay Kuo, Guido Germano. isbi 2009: 358-361 [doi]

Non-Rigid Ultrasound Image Registration Based on Intensity and Local Phase InformationJonghye Woo, Byung-Woo Hong, Chang-Hong Hu, K. Kirk Shung, C. C. Jay Kuo, Piotr J. Slomka. vlsisp, 54(1-3):33-43, 2009. [doi]

2005

Efficient 3D nonlinear warping of computed tomography: two high-performance implementations using OpenGLDavid Levin, Damini Dey, Piotr J. Slomka. miigp 2005: [doi]

2003

Four-dimensional multimodality image registration applied to gated SPECT and gated MRIUsaf E. Aladl, Gilbert A. Hurwitz, Damini Dey, Piotr J. Slomka. miip 2003: [doi]

Interactive volume rendering of multimodality 4D cardiac data with the use of consumer graphics hardwareFrank Enders, Magnus Strengert, Sabine Iserhardt-Bauer, Usaf E. Aladl, Piotr J. Slomka. miigp 2003: [doi]

2002

Automatic Fusion of Freehand Endoscopic Brain Images to Three-Dimensional Surfaces: Creating Stereoscopic PanoramasDamini Dey, David G. Gobbi, Piotr J. Slomka, Kathleen J. M. Surry, Terry M. Peters. tmi, 21(1):23-30, 2002.

2001

Constrained localized-warping-reduced registration errors due to lesions in functional neuroimagesPerry E. Radau, Piotr J. Slomka, Per Julin, Leif Svensson, Lars-Olof Wahlund. miip 2001: [doi]

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