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Yuka Otaki
Yuka Otaki
Cedars-Sinai Medical Center
Verified email at nifty.com
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Year
Deep learning for prediction of obstructive disease from fast myocardial perfusion SPECT: a multicenter study
J Betancur, F Commandeur, M Motlagh, T Sharir, AJ Einstein, S Bokhari, ...
JACC: Cardiovascular Imaging 11 (11), 1654-1663, 2018
3092018
Prognostic value of combined clinical and myocardial perfusion imaging data using machine learning
J Betancur, Y Otaki, M Motwani, MB Fish, M Lemley, D Dey, H Gransar, ...
JACC: Cardiovascular Imaging 11 (7), 1000-1009, 2018
1982018
Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography
M Goeller, BK Tamarappoo, AC Kwan, S Cadet, F Commandeur, ...
European Heart Journal-Cardiovascular Imaging 20 (6), 636-643, 2019
1492019
Peri-Coronary Adipose Tissue Density Is Associated With 18F-Sodium Fluoride Coronary Uptake in Stable Patients With High-Risk Plaques
J Kwiecinski, D Dey, S Cadet, SE Lee, Y Otaki, PT Huynh, MK Doris, ...
JACC: Cardiovascular Imaging 12 (10), 2000-2010, 2019
1402019
Impact of family history of coronary artery disease in young individuals (from the CONFIRM registry)
Y Otaki, H Gransar, DS Berman, VY Cheng, D Dey, FY Lin, S Achenbach, ...
The American journal of cardiology 111 (8), 1081-1086, 2013
1332013
Deep learning analysis of upright-supine high-efficiency SPECT myocardial perfusion imaging for prediction of obstructive coronary artery disease: a multicenter study
J Betancur, LH Hu, F Commandeur, T Sharir, AJ Einstein, MB Fish, ...
Journal of Nuclear Medicine 60 (5), 664-670, 2019
1282019
Increase in epicardial fat volume is associated with greater coronary artery calcification progression in subjects at intermediate risk by coronary calcium score: a serial …
R Nakanishi, R Rajani, VY Cheng, H Gransar, R Nakazato, H Shmilovich, ...
Atherosclerosis 218 (2), 363-368, 2011
1192011
Relation of diagonal ear lobe crease to the presence, extent, and severity of coronary artery disease determined by coronary computed tomography angiography
H Shmilovich, VY Cheng, R Rajani, D Dey, BK Tamarappoo, R Nakazato, ...
The American journal of cardiology 109 (9), 1283-1287, 2012
1012012
Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up
MM Hell, M Motwani, Y Otaki, S Cadet, H Gransar, R Miranda-Peats, ...
European Heart Journal-Cardiovascular Imaging 18 (12), 1331-1339, 2017
992017
Weight change modulates epicardial fat burden: a 4-year serial study with non-contrast computed tomography
R Nakazato, R Rajani, VY Cheng, H Shmilovich, R Nakanishi, Y Otaki, ...
Atherosclerosis 220 (1), 139-144, 2012
962012
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study
A Lin, N Manral, P McElhinney, A Killekar, H Matsumoto, J Kwiecinski, ...
The Lancet Digital Health 4 (4), e256-e265, 2022
942022
Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT)
PJ Slomka, J Betancur, JX Liang, Y Otaki, LH Hu, T Sharir, S Dorbala, ...
Journal of Nuclear Cardiology 27 (3), 1010-1021, 2020
832020
Threshold for the upper normal limit of indexed epicardial fat volume: derivation in a healthy population and validation in an outcome-based study
H Shmilovich, D Dey, VY Cheng, R Rajani, R Nakazato, Y Otaki, ...
The American journal of cardiology 108 (11), 1680-1685, 2011
832011
Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry
LH Hu, J Betancur, T Sharir, AJ Einstein, S Bokhari, MB Fish, TD Ruddy, ...
European Heart Journal-Cardiovascular Imaging 21 (5), 549-559, 2020
802020
5-year prognostic value of quantitative versus visual MPI in subtle perfusion defects: results from REFINE SPECT
Y Otaki, J Betancur, T Sharir, LH Hu, H Gransar, JX Liang, PN Azadani, ...
Cardiovascular Imaging 13 (3), 774-785, 2020
772020
Relationship of epicardial fat volume to coronary plaque, severe coronary stenosis, and high-risk coronary plaque features assessed by coronary CT angiography
R Rajani, H Shmilovich, R Nakazato, R Nakanishi, Y Otaki, VY Cheng, ...
Journal of cardiovascular computed tomography 7 (2), 125-132, 2013
712013
Automatic valve plane localization in myocardial perfusion SPECT/CT by machine learning: anatomic and clinical validation
J Betancur, M Rubeaux, TA Fuchs, Y Otaki, Y Arnson, L Slipczuk, ...
Journal of Nuclear Medicine 58 (6), 961-967, 2017
662017
Relationship between quantitative adverse plaque features from coronary computed tomography angiography and downstream impaired myocardial flow reserve by 13N-ammonia positron …
D Dey, M Diaz Zamudio, A Schuhbaeck, LE Juarez Orozco, Y Otaki, ...
Circulation: Cardiovascular Imaging 8 (10), e003255, 2015
662015
Interscan reproducibility of quantitative coronary plaque volume and composition from CT coronary angiography using an automated method
A Schuhbaeck, D Dey, Y Otaki, P Slomka, BG Kral, S Achenbach, ...
European radiology 24, 2300-2308, 2014
652014
Clinical deployment of explainable artificial intelligence of SPECT for diagnosis of coronary artery disease
Y Otaki, A Singh, P Kavanagh, RJH Miller, T Parekh, BK Tamarappoo, ...
Cardiovascular Imaging 15 (6), 1091-1102, 2022
642022
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