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Showing results 1 to 7 of 7

1
Assessment of Renal Perfusion in Transplanted Kidney Patients Using Pseudo-Continuous Arterial Spin Labeling with Multiple Post-Labeling Delays

Ahn, Hyun-Seo; Yu, Hee Chul; Kwak, Hyo Sung; Park, Sung-Hong, EUROPEAN JOURNAL OF RADIOLOGY, v.130, pp.109200, 2020-09

2
Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T

Han, Paul Kyu; Park, Sung-Hong; Kim, Seong-Gi; Ye, Jong Chul, BIOMED RESEARCH INTERNATIONAL, v.2015, pp.131926, 2015-08

3
DC artifact correction for arbitrary phase-cycling sequence

Han, Paul Kyu; Park, Hyun Wook; Park, Sung-Hong, MAGNETIC RESONANCE IMAGING, v.38, pp.21 - 26, 2017-05

4
Feasibility of Quantifying Arterial Cerebral Blood Volume Using Multiphase Alternate Ascending/Descending Directional Navigation (ALADDIN)

Kim, Ki Hwan; Choi, Seung Hong; Park, Sung-Hong, PLOS ONE, v.11, no.6, pp.e0156687, 2016-06

5
Inter-Slice Blood Flow and Magnetization Transfer Effects as A New Simultaneous Imaging Strategy

Han, Paul Kyu; Barker, Jeffrey W.; Kim, Ki Hwan; Choi, Seung Hong; Bae, Kyongtae Ty; Park, Sung-Hong, PLOS ONE, v.10, no.10, pp.e0140560, 2015-10

6
Investigation of Control Scans in Pseudo-Continuous Arterial Spin Labeling (pCASL): Strategies for Improving Sensitivity and Reliability of pCASL

Han, Paul Kyu; Choi, Seung Hong; Park, Sung-Hong, MAGNETIC RESONANCE IN MEDICINE, v.78, no.3, pp.917 - 929, 2017-09

7
Simultaneously optimizing sampling pattern for joint acceleration of multi-contrast MRI using model-based deep learning

Seo, Sunghun; Luu, Huan Minh; Choi, Seung Hong; Park, Sung-Hong, MEDICAL PHYSICS, v.49, no.9, pp.5964 - 5980, 2022-09

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