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Showing results 1 to 6 of 6

1
A topological approach of tracking dynamic functional connectivity using persistent homology

Yoo, Jaejun; Kim, Eun Young; Ahn, Yong Min; Ye, Jong Chul, Organization for Human Brain Mapping, OHBM, Organization for Human Brain Mapping, OHBM, 2015-06-15

2
Accelerated Projection Reconstruction MR imaging using Deep Residual Learning

Han, Yoseob; Lee, Dongwook; Yoo, Jaejun; Ye, Jong Chul, The International Society for Magnetic Resonance in Medicine, ISMRM, 2017-04

3
Alteration in the local and global functional connectivity of resting state networks in Parkinson’s disease

Ghahremani, Maryam; Yoo, Jaejun; Chung, Sun Ju; Yoo, Kwangsun; Ye, Jong Chul; Jeong, Yong, Journal of Movement Disorders, v.11, no.1, pp.13 - 23, 2018-01

4
Compressed sensing and Parallel MRI using deep residual learning

Lee, Dongwook; Yoo, Jaejun; Ye, Jong Chul, The International Society for Magnetic Resonance in Medicine, ISMRM, 2017-04

5
Machine Learning Approach for Inverse Scattering Problem = 기계학습을 이용한 역산란 문제 연구link

Yoo, Jaejun; Ye, Jong Chul; et al, 한국과학기술원, 2018

6
Topological Analysis of EEG Connectivity Patterns of Depressed Patients using Persistence Landscape

Yoo, Jaejun; Chang, Jae Seung; Chung, Moo; Ye, Jong Chul, Organization for Human Brain Mapping, OHBM, Organization for Human Brain Mapping, OHBM, 2014-06-10

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