Paul B Kavanagh
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Explore the profile of Paul B Kavanagh including associated specialties, affiliations and a list of published articles.
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18
Citations
273
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Recent Articles
1.
Marcinkiewicz A, Zhang W, Shanbhag A, Miller R, Lemley M, Ramirez G, et al.
NPJ Digit Med
. 2025 Mar;
8(1):158.
PMID: 40082599
Low-dose computed tomography attenuation correction (CTAC) scans are used in hybrid myocardial perfusion imaging (MPI) for attenuation correction and coronary calcium scoring, and contain additional anatomic and pathologic information not...
2.
Yi J, Michalowska A, Shanbhag A, Miller R, Geers J, Zhang W, et al.
medRxiv
. 2024 Aug;
PMID: 39132480
Background: Computed tomography attenuation correction (CTAC) scans are routinely obtained during cardiac perfusion imaging, but currently only utilized for attenuation correction and visual calcium estimation. We aimed to develop a...
3.
Michalowska A, Zhang W, Shanbhag A, Miller R, Lemley M, Ramirez G, et al.
medRxiv
. 2024 May;
PMID: 38712025
Background: While low-dose computed tomography scans are traditionally used for attenuation correction in hybrid myocardial perfusion imaging (MPI), they also contain additional anatomic and pathologic information not utilized in clinical...
4.
Miller R, Killekar A, Shanbhag A, Bednarski B, Michalowska A, Ruddy T, et al.
Nat Commun
. 2024 Mar;
15(1):2747.
PMID: 38553462
Chest computed tomography is one of the most common diagnostic tests, with 15 million scans performed annually in the United States. Coronary calcium can be visualized on these scans, but...
5.
Miller R, Shanbhag A, Killekar A, Lemley M, Bednarski B, Kavanagh P, et al.
JACC Cardiovasc Imaging
. 2024 Mar;
17(7):780-791.
PMID: 38456877
Background: Computed tomography attenuation correction (CTAC) improves perfusion quantification of hybrid myocardial perfusion imaging by correcting for attenuation artifacts. Artificial intelligence (AI) can automatically measure coronary artery calcium (CAC) from...
6.
Miller R, Shanbhag A, Killekar A, Lemley M, Bednarski B, Van Kriekinge S, et al.
NPJ Digit Med
. 2024 Feb;
7(1):24.
PMID: 38310123
Epicardial adipose tissue (EAT) volume and attenuation are associated with cardiovascular risk, but manual annotation is time-consuming. We evaluated whether automated deep learning-based EAT measurements from ungated computed tomography (CT)...
7.
Kuronuma K, Miller R, Wei C, Singh A, Lemley M, Van Kriekinge S, et al.
Eur J Nucl Med Mol Imaging
. 2024 Jan;
51(6):1622-1631.
PMID: 38253908
Purpose: The myocardial creep is a phenomenon in which the heart moves from its original position during stress-dynamic PET myocardial perfusion imaging (MPI) that can confound myocardial blood flow measurements....
8.
Pieszko K, Shanbhag A, Killekar A, Miller R, Lemley M, Otaki Y, et al.
JACC Cardiovasc Imaging
. 2022 Oct;
16(5):675-687.
PMID: 36284402
Background: Assessment of coronary artery calcium (CAC) by computed tomographic (CT) imaging provides an accurate measure of atherosclerotic burden. CAC is also visible in computed tomographic attenuation correction (CTAC) scans,...
9.
Miller R, Pieszko K, Shanbhag A, Feher A, Lemley M, Killekar A, et al.
J Nucl Med
. 2022 Oct;
64(4):652-658.
PMID: 36207138
Low-dose ungated CT attenuation correction (CTAC) scans are commonly obtained with SPECT/CT myocardial perfusion imaging. Despite the characteristically low image quality of CTAC, deep learning (DL) can potentially quantify coronary...
10.
Singh A, Kwiecinski J, Miller R, Otaki Y, Kavanagh P, Van Kriekinge S, et al.
Circ Cardiovasc Imaging
. 2022 Sep;
15(9):e014526.
PMID: 36126124
Background: We aim to develop an explainable deep learning (DL) network for the prediction of all-cause mortality directly from positron emission tomography myocardial perfusion imaging flow and perfusion polar map...