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Showing results 1 to 6 of 6

1
Analysis of the distribution of diffusion coefficients in cat brain at 9.4 T using the inverse Laplace transformation

Ronen, I; Moeller, S; Ugurbil, K; Kim, Dae-Shik, MAGNETIC RESONANCE IMAGING, v.24, no.1, pp.61 - 68, 2006-01

2
k-Space deep learning for reference-free EPI ghost correction

Lee, Juyoung; Han, Yoseob; Ryu, Jae-Kyun; Park, Jang-Yeon; Ye, Jong Chul, MAGNETIC RESONANCE IN MEDICINE, v.82, no.6, pp.2299 - 2313, 2019-12

3
Nanoscale magnetic imaging of a single electron spin under ambient conditions

Grinolds, M. S.; Hong, Sungkun; Maletinsky, P.; Luan, L.; Lukin, M. D.; Walsworth, R. L.; Yacoby, A., NATURE PHYSICS, v.9, no.4, pp.215 - 219, 2013-04

4
Phase imaging with multiple phase-cycled balanced steady-state free precession at 9.4T

Kim, Jae-Woong; Kim, Seong-Gi; Park, Sung-Hong, NMR IN BIOMEDICINE, v.30, no.6, pp.e3699, 2017-06

5
Sensitivity and specificity of high-resolution balanced steady-state free precession fMRI at high field of 9.4 T

Park, Sung-Hong; Kim, Tae; Wang, Ping; Kim, Seong-Gi, NEUROIMAGE, v.58, no.1, pp.168 - 176, 2011-09

6
Unsupervised learning of a deep neural network for metal artifact correction using dual-polarity readout gradients

Kwon, Kinam; Kim, Dongchan; Kim, Byungjai; Park, Hyun Wook, MAGNETIC RESONANCE IN MEDICINE, v.83, no.1, pp.124 - 138, 2020-01

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