Jae K. Oh

According to our database, Jae K. Oh authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure.

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

npj Digit. Medicine, 2024

2023

Aortic Valve Calcium Score by Computed Tomography as an Adjunct to Echocardiographic Assessment - A Review of Clinical Utility and Applications.

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

J. Imaging, 2023

Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies.

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

J. Imaging, 2023

2020

Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning.

Mohamed Y. Elwazir, Zeynettin Akkus, Didem Oguz, Jae K. Oh

CoRR, 2020

Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning.

Mohamed Y. Elwazir, Zeynettin Akkus, Didem Oguz, Zi Ye, Jae K. Oh

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020