フォロー
Benjamin C. Lee
Benjamin C. Lee
Weill Cornell Medicine
確認したメール アドレス: med.cornell.edu
タイトル
引用先
引用先
Corridor4DM: the Michigan method for quantitative nuclear cardiology
EP Ficaro, BC Lee, JN Kritzman, JR Corbett
Journal of nuclear cardiology 14, 455-465, 2007
2742007
Quantification of Myocardial Blood Flow in Absolute Terms Using 82Rb PET Imaging: The RUBY-10 Study
SV Nesterov, E Deshayes, R Sciagrà, L Settimo, JM Declerck, XB Pan, ...
JACC: Cardiovascular Imaging 7 (11), 1119-1127, 2014
1742014
Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography …
SJ Al’Aref, G Maliakal, G Singh, AR van Rosendael, X Ma, Z Xu, ...
European heart journal 41 (3), 359-367, 2020
1722020
Comparison and prognostic validation of multiple methods of quantification of myocardial blood flow with 82Rb PET
VL Murthy, BC Lee, A Sitek, M Naya, J Moody, V Polavarapu, EP Ficaro, ...
J Nucl Med 55, 1952-1958, 2014
902014
Absolute myocardial flow quantification with 82Rb PET/CT: comparison of different software packages and methods
AK Tahari, A Lee, M Rajaram, K Fukushima, MA Lodge, BC Lee, ...
European journal of nuclear medicine and molecular imaging 41, 126-135, 2014
842014
Determinants of in‐hospital mortality after percutaneous coronary intervention: a machine learning approach
SJ Al'Aref, G Singh, AR van Rosendael, KK Kolli, X Ma, G Maliakal, ...
Journal of the American Heart Association 8 (5), e011160, 2019
662019
Identification and quantification of cardiovascular structures from CCTA: an end-to-end, rapid, pixel-wise, deep-learning method
L Baskaran, G Maliakal, SJ Al’Aref, G Singh, Z Xu, K Michalak, K Dolan, ...
Cardiovascular Imaging 13 (5), 1163-1171, 2020
642020
Precision and accuracy of clinical quantification of myocardial blood flow by dynamic PET: A technical perspective
JB Moody, BC Lee, JR Corbett, EP Ficaro, VL Murthy
Journal of Nuclear Cardiology 22 (5), 935-951, 2015
632015
Characterization of 3-dimensional PET systems for accurate quantification of myocardial blood flow
JM Renaud, K Yip, J Guimond, M Trottier, P Pibarot, E Turcotte, C Maguire, ...
Journal of Nuclear Medicine 58 (1), 103-109, 2017
622017
Blood pool and tissue phase patient motion effects on 82rubidium PET myocardial blood flow quantification
BC Lee, JB Moody, A Poitrasson-Rivière, AC Melvin, RL Weinberg, ...
Journal of Nuclear Cardiology 26 (6), 1918-1929, 2019
412019
A boosted ensemble algorithm for determination of plaque stability in high-risk patients on coronary CTA
SJ Al’Aref, G Singh, JW Choi, Z Xu, G Maliakal, AR van Rosendael, ...
Cardiovascular Imaging 13 (10), 2162-2173, 2020
402020
Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation
G Singh, Y Hussain, Z Xu, E Sholle, K Michalak, K Dolan, BC Lee, ...
PLoS One 15 (9), e0239934, 2020
322020
Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning
L Baskaran, SJ Al’Aref, G Maliakal, BC Lee, Z Xu, JW Choi, SE Lee, ...
PloS one 15 (5), e0232573, 2020
322020
Automated dynamic motion correction using normalized gradient fields for 82 rubidium PET myocardial blood flow quantification
BC Lee, JB Moody, A Poitrasson-Rivière, AC Melvin, RL Weinberg, ...
Journal of Nuclear Cardiology 27 (6), 1982-1998, 2020
312020
Optimization of temporal sampling for 82rubidium PET myocardial blood flow quantification
BC Lee, JB Moody, RL Weinberg, JR Corbett, EP Ficaro, VL Murthy
Journal of Nuclear Cardiology 24 (5), 1517-1529, 2017
242017
Variance estimation for myocardial blood flow by dynamic PET
JB Moody, VL Murthy, BC Lee, JR Corbett, EP Ficaro
IEEE Transactions on Medical Imaging 34 (11), 2343-2353, 2015
222015
Review of Image Registration in Medical Robotics and Intelligent Systems: Fundamentals and Applications
J Liu, G Singh, S Al'Aref, B Lee, O Oleru, JK Min, S Dunham, MR Sabuncu, ...
Advanced Intelligent Systems, 2019
202019
The utility of 82Rb PET for myocardial viability assessment: Comparison with perfusion-metabolism 82Rb-18F-FDG PET
JB Moody, KM Hiller, BC Lee, A Poitrasson-Rivière, JR Corbett, ...
Journal of Nuclear Cardiology, 2019
192019
Current and future applications of artificial intelligence in coronary artery disease
N Gautam, P Saluja, A Malkawi, MG Rabbat, MH Al-Mallah, G Pontone, ...
Healthcare 10 (2), 232, 2022
182022
Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing
M Pandey, Z Xu, E Sholle, G Maliakal, G Singh, Z Fatima, D Larine, ...
PLoS One 15 (7), e0236827, 2020
182020
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