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ORCIDPiotr J. Slomka
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2020 – today
- 2024
[j8]Robert 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:
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. npj Digit. Medicine 7(1) (2024)- 2023
- [j7]Konrad Pieszko, Aakash D. Shanbhag, Ananya Singh, M. Timothy Hauser, Robert J. H. Miller, Joanna X. Liang, Manish Motwani, Jacek Kwiecinski, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. npj Digit. Medicine 6 (2023) - [c31]Bryan 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:
Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction. Medical Imaging: Image Processing 2023 - [c30]Aditya Killekar, Jacek Kwiecinski, Mariusz Kruk, Cezary Kepka, Aakash D. Shanbhag, Damini Dey, Piotr J. Slomka:
Pseudo-contrast cardiac CT angiography derived from non-contrast CT using conditional generative adversarial networks. Medical Imaging: Image Processing 2023 - [c29]Nipun Manral, Andrew Lin, Caroline Park, Priscilla McElhinney, Aditya Killekar, Hidenari Matsumoto, Jacek Kwiecinski, Konrad Pieszko, Aryabod Razipour, Kajetan Grodecki, Mhairi Doris, Alan C. Kwan, Donghee Han, Keiichiro Kuronuma, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash D. Shanbhag, Markus Goeller, Mohamed Marwan, Sebastien Cadet, Stephen Achenbach, Stephen J. Nicholls, Dennis T. Wong, Daniel S. Berman, Marc R. Dweck, David E. Newby, Michelle C. Williams, Piotr J. Slomka, Damini Dey:
Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography. Medical Imaging: Image Processing 2023 - [c28]Aakash D. Shanbhag, Konrad Pieszko, Robert J. H. Miller, Aditya Killekar, Waechter Parker, Heidi Gransar, Michelle Williams, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT. Medical Imaging: Image Processing 2023 - 2022
- [j6]Richard Ríos, Robert J. H. Miller, Nipun Manral, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Serge D. Van Kriekinge, Paul Kavanagh, Tejas Parekh, Joanna X. Liang, Damini Dey, Daniel S. Berman, Piotr J. Slomka:
Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry. Comput. Biol. Medicine 145: 105449 (2022) - [c27]Aditya Killekar, Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Peter Chen, Judit Simon, Nitesh Nerlekar, Pál Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Damini Dey, Gianfranco Parati, Franco Cernigliaro, Camilla Torlasco, Gianluca Pontone, Piotr J. Slomka:
COVID-19 lesion segmentation using convolutional LSTM for self-attention. Medical Imaging: Image Processing 2022 - [c26]Konrad 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:
Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks. Medical Imaging: Image Processing 2022 - [c25]Piotr J. Slomka:
Explainable artificial-intelligence for diagnosis and risk estimation from cardiovascular images. Medical Imaging: Image Processing 2022 - 2021
- [i1]Kajetan Grodecki, Aditya Killekar, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Judit Simon, Pál Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, Piotr J. Slomka:
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. CoRR abs/2104.00138 (2021)
2010 – 2019
- 2019
- [c24]Youngtaek Hong, Frederic Commandeur, Sebastien Cadet, Markus Goeller, Mhairi Doris, Xi Chen, Jacek Kwiecinski, Daniel S. Berman, Piotr J. Slomka, Hyuk-Jae Chang, Damini Dey:
Deep learning-based stenosis quantification from coronary CT angiography. Medical Imaging: Image Processing 2019: 109492I - 2018
- [j5]Frederic Commandeur, Markus Goeller, Julián Betancur, Sebastien Cadet, Mhairi Doris, Xi Chen, Daniel S. Berman, Piotr J. Slomka, Balaji Tamarappoo, Damini Dey:
Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT. IEEE Trans. Medical Imaging 37(8): 1835-1846 (2018) - 2016
- [c23]Mathieu Rubeaux, Nikhil Joshi, Marc R. Dweck, Alison Fletcher, Manish Motwani, Louise E. Thomson, Guido Germano, Damini Dey, Daniel S. Berman, David E. Newby, Piotr J. Slomka:
Demons versus level-set motion registration for coronary 18F-sodium fluoride PET. Medical Imaging: Image Processing 2016: 97843Y - [c22]Ivana Isgum, Bob D. de Vos, Jelmer M. Wolterink, Damini Dey, Daniel S. Berman, Mathieu Rubeaux, Tim Leiner, Piotr J. Slomka:
Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs. Medical Imaging: Image Processing 2016: 978405 - 2015
- [c21]Xiaowei Ding, Piotr J. Slomka, Mariana Diaz-Zamudio, Guido Germano, Daniel S. Berman, Demetri Terzopoulos, Damini Dey:
Automated coronary artery calcium scoring from non-contrast CT using a patient-specific algorithm. Medical Imaging: Image Processing 2015: 94132U - [c20]Xiaowei Ding, Jianing Pang, Zhou Ren, Mariana Diaz-Zamudio, Daniel S. Berman, Debiao Li, Demetri Terzopoulos, Piotr J. Slomka, Damini Dey:
Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography. MIUA 2015: 80-85 - 2014
- [c19]Xiaowei Ding, Demetri Terzopoulos, Mariana Diaz-Zamudio, Daniel S. Berman, Piotr J. Slomka, Damini Dey:
Automated epicardial fat volume quantification from non-contrast CT. Medical Imaging: Image Processing 2014: 90340I - 2013
- [j4]Jonghye Woo, Piotr J. Slomka, C.-C. Jay Kuo, Byung-Woo Hong:
Multiphase segmentation using an implicit dual shape prior: Application to detection of left ventricle in cardiac MRI. Comput. Vis. Image Underst. 117(9): 1084-1094 (2013) - [c18]Sharath Gopal, Yuka Otaki, Reza Arsanjani, Daniel S. Berman, Demetri Terzopoulos, Piotr J. Slomka:
Combining active appearance and deformable superquadric models for LV segmentation in cardiac MRI. Medical Imaging: Image Processing 2013: 86690G - [c17]Dongwoo Kang, Piotr J. Slomka, Ryo Nakazato, Jonghye Woo, Daniel S. Berman, C.-C. Jay Kuo, Damini Dey:
Image denoising of low-radiation dose coronary CT angiography by an adaptive block-matching 3D algorithm. Medical Imaging: Image Processing 2013: 86692G - 2012
- [j3]Dongwoo Kang, Jonghye Woo, Piotr J. Slomka, Damini Dey, Guido Germano, C.-C. Jay Kuo:
Heart chambers and whole heart segmentation techniques: review. J. Electronic Imaging 21(1): 010901 (2012) - [c16]Piotr J. Slomka, Reza Arsanjani, Yuan Xu, Daniel S. Berman, Guido Germano:
Quantitative analysis of myocardial perfusion images. APSIPA 2012: 1-9 - [c15]Shahryar Karimi-Ashtiani, Reza Arsanjani, Mathews Fish, Daniel S. Berman, Paul Kavanagh, Guido Germano, Piotr J. Slomka:
Automated detection of contractile abnormalities from stress-rest motion changes. Medical Imaging: Computer-Aided Diagnosis 2012: 83152G - [c14]Jonghye Woo, Piotr J. Slomka, Ryo Nakazato, Balaji Tamarappoo, James K. Min, Guido Germano, Daniel S. Berman, Damini Dey:
Feasibility of determining myocardial transient ischemic dilation from cardiac CT by automated stress/rest registration. Medical Imaging: Image Processing 2012: 83140G - [c13]Dongwoo Kang, Piotr J. Slomka, Ryo Nakazato, Victor Cheng, James K. Min, Debiao Li, Daniel S. Berman, C.-C. Jay Kuo, Damini Dey:
Automatic detection of significant and subtle arterial lesions from coronary CT angiography. Medical Imaging: Image Processing 2012: 831435 - 2010
- [c12]Damini Dey, Amit Ramesh, Piotr J. Slomka, Ryo Nakazato, Victor Cheng, Guido Germano, Daniel S. Berman:
Automated algorithm for atlas-based segmentation of the heart and pericardium from non-contrast CT. Medical Imaging: Image Processing 2010: 762337
2000 – 2009
- 2009
- [j2]Jonghye Woo, Byung-Woo Hong, Chang-Hong Hu, K. Kirk Shung, C.-C. Jay Kuo, Piotr J. Slomka:
Non-Rigid Ultrasound Image Registration Based on Intensity and Local Phase Information. J. Signal Process. Syst. 54(1-3): 33-43 (2009) - [c11]Jonghye Woo, Piotr J. Slomka, Damini Dey, Victor Cheng, Amit Ramesh, Byung-Woo Hong, Daniel S. Berman, C.-C. Jay Kuo, Guido Germano:
Automated Multi-Modality Registration of 64-Slice Coronary CT Angiography with Myocardial Perfusion Spect. ISBI 2009: 358-361 - [c10]Mithun Prasad, Amit Ramesh, Paul Kavanagh, James Gerlach, Guido Germano, Daniel S. Berman, Piotr J. Slomka:
Myocardial wall thickening from gated magnetic resonance images using Laplace's equation. Medical Imaging: Computer-Aided Diagnosis 2009: 72602I - [c9]Jonghye Woo, Byung-Woo Hong, Damini Dey, Victor Cheng, Amit Ramesh, Ganesh Sundaramoorthi, C.-C. Jay Kuo, Daniel S. Berman, Guido Germano, Piotr J. Slomka:
Feature-based non-rigid volume registration of serial coronary CT angiography. Medical Imaging: Image Processing 2009: 72590R - [c8]Jonghye Woo, Byung-Woo Hong, Amit Ramesh, Guido Germano, C.-C. Jay Kuo, Piotr J. Slomka:
Curve evolution with a dual shape similarity and its application to segmentation of left ventricle. Medical Imaging: Image Processing 2009: 72593T - 2005
- [c7]David Levin, Damini Dey, Piotr J. Slomka:
Efficient 3D nonlinear warping of computed tomography: two high-performance implementations using OpenGL. Medical Imaging: Image-Guided Procedures 2005 - 2003
- [c6]Frank Enders, Magnus Strengert, Sabine Iserhardt-Bauer, Usaf E. Aladl, Piotr J. Slomka:
Interactive volume rendering of multimodality 4D cardiac data with the use of consumer graphics hardware. Medical Imaging: Image-Guided Procedures 2003 - [c5]Usaf E. Aladl, Gilbert A. Hurwitz, Damini Dey, Piotr J. Slomka:
Four-dimensional multimodality image registration applied to gated SPECT and gated MRI. Medical Imaging: Image Processing 2003 - 2002
- [j1]Damini Dey, David G. Gobbi, Piotr J. Slomka, Kathleen J. M. Surry, Terry M. Peters:
Automatic Fusion of Freehand Endoscopic Brain Images to Three-Dimensional Surfaces: Creating Stereoscopic Panoramas. IEEE Trans. Medical Imaging 21(1): 23-30 (2002) - 2001
- [c4]Perry E. Radau, Piotr J. Slomka, Per Julin, Leif Svensson, Lars-Olof Wahlund:
Constrained localized-warping-reduced registration errors due to lesions in functional neuroimages. Medical Imaging: Image Processing 2001 - 2000
- [c3]Damini Dey, Piotr J. Slomka, David G. Gobbi, Terry M. Peters:
Mixed Reality Merging of Endoscopic Images and 3-D Surfaces. MICCAI 2000: 796-803 - [c2]Perry E. Radau, Piotr J. Slomka, Per Julin, Leif Svensson, Lars-Olof Wahlund:
Automated segmentation and registration technique for HMPAO-SPECT imaging of Alzheimer's patients. Medical Imaging: Image Processing 2000 - [c1]Piotr J. Slomka, Jonathan Mandel, Aaron Fenster, Dónal B. Downey:
Automated 3D registration of magnetic resonance angiography, 3D power doppler, and 3D B-mode ultrasound images of carotid bifurcation. Medical Imaging: Image Processing 2000
Coauthor Index
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