Paul Kavanagh

4.5k citations

60 papers · 3.0k indexed · 1 hit paper · h-index 22

Impact in

Radiology, Nuclear Medicine and Imaging top 0.2%
- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
Cardiology and Cardiovascular Medicine top 1%
- Cardiovascular Function and Risk Factors
- Cardiac electrophysiology and arrhythmias
- Acute Myocardial Infarction Research

Papers in

Radiology, Nuclear Medicine and Imaging 56
- Cardiac Imaging and Diagnostics 51
- Medical Imaging Techniques and Applications 36
- Advanced MRI Techniques and Applications 33
- Radiomics and Machine Learning in Medical Imaging 3
- Radiation Dose and Imaging 3
Cardiology and Cardiovascular Medicine 13
- Cardiovascular Function and Risk Factors 11
- Cardiovascular Disease and Adiposity 2

Co-authors: Daniel S. Berman Guido Germano Hosen Kiat M Mazzanti Kenneth F. Van Train Mady Moriel Tali Sharir Howard C. Lewin
Journals: Journal of Nuclear Cardiology (17 papers)Journal of Nuclear Medicine (9 papers)European Journal of Nuclear Medicine and Molecular Imaging (4 papers)JACC. Cardiovascular imaging (3 papers)Circulation Cardiovascular Imaging (2 papers)
Partner nations: United States Canada United Kingdom

In The Last Decade

Paul Kavanagh

57 papers receiving 2.9k citations

Hit Papers

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Automatic quantification of ejection fraction from gated myocardial perfusion SPECT. 1995 · 982 citations

Peers

Countries citing papers authored by Paul Kavanagh

Since Specialization

Citations

This map shows the geographic impact of Paul Kavanagh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paul Kavanagh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Kavanagh more than expected).

Fields of papers citing papers by Paul Kavanagh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Kavanagh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paul Kavanagh. The network helps show where Paul Kavanagh may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Paul Kavanagh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul Kavanagh Line = papers co-authored together Paul Kavanagh links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Dynamic frame-by-frame motion correction for 18F-flurpiridaz PET-MPI using convolution neural network European Journal of Nuclear Medicine and Molecular Imaging ·Ivo Mueller, Aditya Killekar, Jian-Bo Zhou, Mark A. Lemley, Yu. Borzova V., Juha Jartti, Paul Kavanagh, C. J. Buckley, Piotr J. Slomka	2025	0
2	General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI JACC. Cardiovascular imaging ·Aakash Shanbhag, Robert J.H. Miller, Mark A. Lemley, Paul Kavanagh, Joanna X. Liang, Girish Allampallewar, Jian-Bo Zhou, Serge Van Kriekinge, Terrence D. Ruddy, Mathews B. Fish, Andrew J. Einstein, Mônica Martins, Julian Halcox, Philipp A. Kaufmann, C. J. Buckley, Timothy M. Bateman, Daniel S. Berman, Damini Dey, Piotr J. Slomka	2025	1
3	Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart Failure Circulation Cardiovascular Imaging ·蓝淑芳, Jeonghun Bang, Robert J.H. Miller, Paul Kavanagh, Aditya Killekar, Mark Lemley, Akese Mannasseh Teryima, Stacey Knight, Viet T. Le, Steve Mason, Wanda Acampa, SaiThaejesvi Gopalakrishnan, Damini Dey, Daniel S. Berman, Panithaya Chareonthaitawee, Marcelo F. Di Carli, Piotr J. Slomka	2025	2
4	AI-enabled CT-guided end-to-end quantification of total cardiac activity in 18FDG cardiac PET/CT for detection of cardiac sarcoidosis Journal of Nuclear Cardiology ·Robert J.H. Miller, Jeonghun Bang, Girish Allampallewar, Fan Zhou, Heidi Gransar, 蓝淑芳, Alvarez Martínez, E. Kransdorf, Paul Kavanagh, Joanna X. Liang, Jian-Bo Zhou, Damini Dey, Daniel S. Berman, Piotr J. Slomka	2025	6
5	Integrating perfusion with AI–derived coronary calcium on CT attenuation scans to improve selection of low-risk studies for stress-only SPECT myocardial perfusion imaging Journal of Nuclear Cardiology ·Robert J.H. Miller, Archiel Gutana, Aakash Shanbhag, Alan Rozanski, Damini Dey, Mark Lemley, Serge D. Van Kriekinge, Paul Kavanagh, Attila Fehér, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, 三郎高嶋, Philipp A. Kaufmann, Joanna X. Liang, Daniel S. Berman, Piotr J. Slomka	2025	0
6	Subendocardial quantification enhances coronary artery disease detection in 18F-flurpiridaz PET European Journal of Nuclear Medicine and Molecular Imaging ·Jian-Bo Zhou, Mark A. Lemley, Rao Dr. C.V. Nageswara, Alvarez Martínez, Juha Jartti, Paul Kavanagh, Christopher Buckley, Marcelo F. Di Carli, Daniel S. Berman, Piotr J. Slomka	2025	2
7	Incremental diagnostic value of artificial intelligence-derived coronary artery calcium in 18F-flurpiridaz positron emission tomography myocardial perfusion imaging Journal of Nuclear Cardiology ·Archiel Gutana, Jeonghun Bang, 何伊婷, Robert J.H. Miller, Mark Lemley, Jian-Bo Zhou, Joanna X. Liang, Paul Kavanagh, Christopher Buckley, Damini Dey, Daniel S. Berman, Piotr J. Slomka	2025	0
8	Artificial Intelligence–Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging Journal of Nuclear Medicine ·Robert J.H. Miller, Paul Kavanagh, Mark A. Lemley, Joanna X. Liang, Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo F. Di Carli, Sean Hayes, John D. Friedman, Daniel S. Berman, Damini Dey, Piotr J. Slomka	2025	1
9	Automatic Motion Correction for Myocardial Blood Flow Estimation Improves Diagnostic Performance for Coronary Artery Disease in 18F-Flurpiridaz PET-MPI Journal of Nuclear Cardiology ·Jian-Bo Zhou, Rajkumar Pyla, Keiichiro Kuronuma, Yu. Borzova V., Alvarez Martínez, Yuka Otaki, Serge D. Van Kriekinge, Paul Kavanagh, Mark Lemley, Mark Hyun, Daniel S. Berman, Piotr J. Slomka	2024	1
10	AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging npj Digital Medicine ·Robert J.H. Miller, Aakash Shanbhag, Aditya Killekar, Mark Lemley, Evgeniy V. Bespala, Serge D. Van Kriekinge, Paul Kavanagh, Attila Fehér, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Jian-Bo Zhou, Daniel S. Berman, Damini Dey, Piotr J. Slomka	2024	15
11	Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography Nature Communications ·Robert J.H. Miller, Aditya Killekar, Aakash Shanbhag, Evgeniy V. Bespala, Anna M. Michałowska, Terrence D. Ruddy, Andrew J. Einstein, David E. Newby, Mark Lemley, Konrad Pieszko, Serge D. Van Kriekinge, Paul Kavanagh, Joanna X. Liang, Rajkumar Pyla, Damini Dey, Daniel S. Berman, Piotr J. Slomka	2024	9
12	Downward myocardial creep during stress PET imaging is inversely associated with mortality European Journal of Nuclear Medicine and Molecular Imaging ·Keiichiro Kuronuma, Robert J.H. Miller, Yu. Borzova V., Ananya Singh, Mark Lemley, Serge D. Van Kriekinge, Paul Kavanagh, Heidi Gransar, Donghee Han, Sean W. Hayes, Louise Thomson, Damini Dey, John D. Friedman, Daniel S. Berman, Piotr J. Slomka	2024	1
13	Evaluating and mapping the evidence that screening for diabetic foot disease meets the criteria for population-wide screening: a scoping review SHILAP Revista de lepidopterología ·Mihnea-Bogdan Jurca, Lauren Connell, Caroline McIntosh, Paul Kavanagh, Seán F. Dinneen, Patricia M. Kearney, Claire Buckley	2024	2
14	AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging JACC. Cardiovascular imaging ·Robert J.H. Miller, Aakash Shanbhag, Aditya Killekar, Mark Lemley, Evgeniy V. Bespala, Paul Kavanagh, Attila Fehér, Edward J. Miller, 三郎高嶋, Jian-Bo Zhou, Joanna X. Liang, David E. Newby, Damini Dey, Daniel S. Berman, Piotr J. Slomka	2024	13
15	Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry Computers in Biology and Medicine ·Wareeya Vongswanich, Robert J.H. Miller, 高向净, Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo F. Di Carli, Serge D. Van Kriekinge, Paul Kavanagh, Tejas Parekh, Joanna X. Liang, Damini Dey, Daniel S. Berman, Piotr J. Slomka	2022	21
16	Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events JACC. Cardiovascular imaging ·Konrad Pieszko, Aakash Shanbhag, Aditya Killekar, Robert J.H. Miller, Mark Lemley, Yuka Otaki, Ananya Singh, Jacek Kwieciński, Heidi Gransar, Serge D. Van Kriekinge, Paul Kavanagh, Edward J. Miller, 三郎高嶋, Joanna X. Liang, Daniel S. Berman, Damini Dey, Piotr J. Slomka	2022	42
17	Deep Learning for Explainable Estimation of Mortality Risk From Myocardial Positron Emission Tomography Images Circulation Cardiovascular Imaging ·Ananya Singh, Jacek Kwieciński, Robert J.H. Miller, Yuka Otaki, Paul Kavanagh, Serge D. Van Kriekinge, Tejas Parekh, Heidi Gransar, Konrad Pieszko, Aditya Killekar, Ramyashree Tummala, Joanna X. Liang, Marcelo F. Di Carli, Daniel S. Berman, Damini Dey, Piotr J. Slomka	2022	25
18	Improved myocardial blood flow estimation with residual activity correction and motion correction in 18F-flurpiridaz PET myocardial perfusion imaging European Journal of Nuclear Medicine and Molecular Imaging ·Yuka Otaki, Serge D. Van Kriekinge, Yu. Borzova V., Paul Kavanagh, Ananya Singh, Tejas Parekh, Marcelo F. Di Carli, Jamshid Maddahi, Arkadiusz Sitek, Christopher Buckley, Daniel S. Berman, Piotr J. Slomka	2021	21
19	Quantitation in gated perfusion SPECT imaging: The Cedars-Sinai approach Journal of Nuclear Cardiology ·Guido Germano, Paul Kavanagh, Piotr J. Slomka, Serge D. Van Kriekinge, Geoff Pollard, Daniel S. Berman	2007	177
20	Effect of the number of projections collected on quantitative perfusion and left ventricular ejection fraction measurements from gated myocardial perfusion single-photon emission computed tomographic images Journal of Nuclear Cardiology ·Guido Germano, Paul Kavanagh, Daniel S. Berman	1996	9

About Paul Kavanagh

Paul Kavanagh is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Occupational Therapy and Rehabilitation, having authored 60 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (51 papers), Medical Imaging Techniques and Applications (36 papers), Advanced MRI Techniques and Applications (33 papers), Advanced X-ray and CT Imaging (16 papers), Cardiovascular Function and Risk Factors (11 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Radiation Dose and Imaging (3 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.7k citations), Cardiology and Cardiovascular Medicine (1.4k citations), Health Informatics (23 citations), Biomedical Engineering (716 citations) and Surgery (450 citations). Paul Kavanagh has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Daniel S. Berman, Guido Germano, Hosen Kiat, M Mazzanti, Kenneth F. Van Train, Mady Moriel, Tali Sharir, Howard C. Lewin, Piotr J. Slomka and John D. Friedman. Their work appears in journals such as Journal of Nuclear Cardiology, Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, JACC. Cardiovascular imaging and Circulation Cardiovascular Imaging.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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