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ORCIDJae K. Oh
Person information
- affiliation: Mayo Clinic, Department of Cardiovascular Medicine, Rochester, MN, USA
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2020 – today
- 2024
[j3]Eunjung Lee
, Saki Ito, William R. Miranda, Francisco Lopez-Jimenez, Garvan C. Kane, Samuel J. Asirvatham, Peter A. Noseworthy, Paul A. Friedman, Rickey E. Carter, Barry A. Borlaug, Zachi Attia, Jae K. Oh:
Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure. npj Digit. Medicine 7(1) (2024)- 2023
- [j2]James Li, Chieh-Ju Chao, Jiwoong Jason Jeong, Juan Maria Farina, Amith R. Seri, Timothy Barry, Hana Newman, Megan Campany, Merna Abdou, Michael O'Shea, Sean Smith, Bishoy Abraham, Seyedeh Maryam Hosseini, Yuxiang Wang, Steven J. Lester, Said Alsidawi, Susan Wilansky, Eric Steidley, Julie Rosenthal, Chadi Ayoub, Christopher P. Appleton, Win-Kuang Shen, Martha Grogan, Garvan C. Kane, Jae K. Oh, Bhavik N. Patel, Reza Arsanjani, Imon Banerjee:
Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies. J. Imaging 9(2): 48 (2023) - [j1]Isabel G. Scalia, Juan Maria Farina, Ratnasari Padang, Clinton E. Jokerst, Milagros Pereyra, Ahmed K. Mahmoud, Tasneem Z. Naqvi, Chieh-Ju Chao, Jae K. Oh, Reza Arsanjani, Chadi Ayoub:
Aortic Valve Calcium Score by Computed Tomography as an Adjunct to Echocardiographic Assessment - A Review of Clinical Utility and Applications. J. Imaging 9(11): 250 (2023) - 2020
- [c1]Mohamed Y. Elwazir, Zeynettin Akkus, Didem Oguz, Zi Ye, Jae K. Oh:
Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning. BIBE 2020: 691-696 - [i1]Mohamed Y. Elwazir, Zeynettin Akkus, Didem Oguz, Jae K. Oh:
Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning. CoRR abs/2011.12429 (2020)
Coauthor Index
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