L
Leslee J. Shaw
Researcher at Cornell University
Publications - 871
Citations - 70793
Leslee J. Shaw is an academic researcher from Cornell University. The author has contributed to research in topics: Coronary artery disease & Myocardial infarction. The author has an hindex of 116, co-authored 808 publications receiving 61598 citations. Previous affiliations of Leslee J. Shaw include Saint Louis University & Cedars-Sinai Medical Center.
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Journal ArticleDOI
Evaluation of Suspected Ischemic Heart Disease in Symptomatic Women
TL;DR: The current evidence base clearly supports that women presenting with chest pain can benefit from one of the commonly applied diagnostic testing modalities.
Journal ArticleDOI
Risk Reclassification With Coronary Computed Tomography Angiography-Visualized Nonobstructive Coronary Artery Disease According to 2018 American College of Cardiology/American Heart Association Cholesterol Guidelines (from the Coronary Computed Tomography Angiography Evaluation for Clinical Outcomes : An International Multicenter Registry [CONFIRM])
Donghee Han,Ashley Beecy,Khalil Anchouche,Heidi Gransar,Patricia C. Dunham,Ji Hyun Lee,Stephan Achenbach,Mouaz H. Al-Mallah,Daniele Andreini,Daniel S. Berman,Jeroen J. Bax,Matthew J. Budoff,Filippo Cademartiri,Tracy Q. Callister,Hyuk Jae Chang,Kavitha Chinnaiyan,Benjamin J.W. Chow,Ricardo C. Cury,Augustin Delago,Gudrun Feuchtner,Martin Hadamitzky,Joerg Hausleiter,Philipp A. Kaufmann,Yong Jin Kim,Jonathon Leipsic,Erica Maffei,Hugo Marques,Pedro de Araújo Gonçalves,Gianluca Pontone,Gilbert L. Raff,Ronen Rubinshtein,Todd C. Villines,Yao Lu,Jessica M. Peña,Leslee J. Shaw,James K. Min,Fay Y. Lin +36 more
TL;DR: The presence or absence of CCTA-visualized CAD, including both obstructive and nonobstructive CAD, significantly improves reclassification in patients eligible for risk enhancers in 2018 ACC/AHA guidelines.
Journal ArticleDOI
Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing
Mohit Pandey,Zhuoran Xu,Evan Sholle,Gabriel Maliakal,Gurpreet Singh,Zahra Fatima,Daria Larine,Benjamin C. Lee,Jing Wang,Alexander R. van Rosendael,Lohendran Baskaran,Leslee J. Shaw,James K. Min,Subhi J. Al'Aref +13 more
TL;DR: An ML-based NLP approach to unstructured CT reports demonstrates excellent accuracy for the extraction of predetermined radiographic findings, and provides prognostic value in HF patients.
Journal ArticleDOI
Recent advances in myocardial perfusion imaging.
Journal ArticleDOI
Comparative differences in the atherosclerotic disease burden between the epicardial coronary arteries: quantitative plaque analysis on coronary computed tomography angiography
A. Maxim Bax,Alexander R. van Rosendael,Alexander R. van Rosendael,Xiaoyue Ma,Inge J. van den Hoogen,Inge J. van den Hoogen,Umberto Gianni,Sara W Tantawy,Emma J. Hollenberg,Daniele Andreini,Mouaz H. Al-Mallah,Matthew J. Budoff,Filippo Cademartiri,Kavitha Chinnaiyan,Jung Hyun Choi,Edoardo Conte,Hugo Marques,Pedro de Araújo Gonçalves,Ilan Gottlieb,Martin Hadamitzky,Jonathon Leipsic,Erica Maffei,Gianluca Pontone,Sanghoon Shin,Yong Jin Kim,Byoung Kwon Lee,Eun Ju Chun,Ji Min Sung,Sang Eun Lee,Sang Eun Lee,Renu Virmani,Habib Samady,Peter Stone,Daniel S. Berman,James K. Min,Jagat Narula,Fay Y. Lin,Hyuk Jae Chang,Leslee J. Shaw,Paradigm investigators +39 more
TL;DR: Atherosclerotic plaque, irrespective of vessel volume, varied across the epicardial coronary arteries; with a significantly lower burden and different compositions in the LCx when compared with the LAD and RCA.