Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Author Han, Yoseob

Showing results 1 to 7 of 7

1
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems

Ye, Jong Chul; Han, Yoseob; Cha, Eunju, SIAM JOURNAL ON IMAGING SCIENCES, v.11, no.2, pp.991 - 1048, 2018-07

2
Deep learning STEM-EDX tomography of nanocrystals

Han, Yoseob; Jang, Jaeduck; Cha, Eunju; Lee, Junho; Chung, Hyungjin; Jeong, Myoungho; Kim, Tae-Gon; et al, Nature Machine Intelligence, v.3, pp.267 - 274, 2021-03

3
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT

Han, Yoseob; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1418 - 1429, 2018-06

4
Improving the Reliability of Pharmacokinetic Parameters at Dynamic Contrast-enhanced MRI in Astrocytomas: A Deep Learning Approach

Choi, Kyu Sung; You, Sung-Hye; Han, Yoseob; Ye, Jong Chul; Jeong, Bumseok; Choi, Seung Hong, RADIOLOGY, v.297, no.1, pp.178 - 188, 2020-10

5
Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation

Lee, Minji; Han, Yoseob; Ward, John Paul; Unser, Michael; Ye, Jong Chul, SIAM JOURNAL ON IMAGING SCIENCES, v.8, no.4, pp.2452 - 2486, 2015

6
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

7
One network to solve all ROIs: Deep learning CT for any ROI using differentiated backprojection

Han, Yoseob; Ye, Jong Chul, MEDICAL PHYSICS, v.46, no.12, pp.E855 - E872, 2019-12

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