Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Author Tak, Sungho

Showing results 1 to 4 of 4

1
A Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography Using Random Effect Model

Lee, Okkyun; Tak, Sungho; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.34, no.7, pp.1602 - 1615, 2015-07

2
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks

Lee, Dongwook; Yoo, Jaejun; Tak, Sungho; Ye, Jong Chul, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.65, no.9, pp.1985 - 1995, 2018-09

3
NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy

Ye, Jong Chul; Tak, Sungho; Jang, Kwang Eun; Jung, Jinwook; Jang, Jaeduck, NEUROIMAGE, v.44, no.2, pp.428 - 447, 2009-01

4
Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis

Lee, Young-Beom; Lee, Jeonghyeon; Tak, Sungho; Lee, Kangjoo; Na, Duk L.; Seo, Sang Won; Jeong, Yong; et al, NEUROIMAGE, v.125, pp.1032 - 1045, 2016-01

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