Youngkyoo Jung

According to our database, Youngkyoo Jung authored at least 4 papers between 2010 and 2023.

Collaborative distances:

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

2023

Optimizing quantification of MK6240 tau PET in unimpaired older adults.

Theresa M. Harrison, Tyler J. Ward, Alice Murphy, Suzanne L. Baker, Pablo A. Dominguez, Robert A. Koeppe, Prashanthi Vemuri, Samuel N. Lockhart, Youngkyoo Jung, Danielle J. Harvey, Laura Lovato, Arthur W. Toga, Joseph C. Masdeu, Hwamee Oh, Darren R. Gitelman, Neelum Aggarwal, Heather M. Snyder, Laura D. Baker, Charles DeCarli, William J. Jagust, Susan M. Landau

NeuroImage, 2023

2017

Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks.

Behrouz Saghafi, Prabhat Garg, Benjamin C. Wagner, S. Carrie Smith, Jianzhao Xu, Ananth J. Madhuranthakam, Youngkyoo Jung, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian, Albert Montillo

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

2015

Multi-TI Arterial Spin Labeling MRI with Variable TR and Bolus Duration for Cerebral Blood Flow and Arterial Transit Time Mapping.

Megan E. Johnston, Kun Lu, Joseph A. Maldjian, Youngkyoo Jung

IEEE Trans. Medical Imaging, 2015

2010

High efficiency, low distortion 3D diffusion tensor imaging with variable density spiral fast spin echoes (3D DW VDS RARE).

Lawrence R. Frank, Youngkyoo Jung, Souheil J. Inati, J. Michael Tyszka, Eric C. Wong

NeuroImage, 2010