Showing results 1 to 7 of 7
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 |
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 |
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 |
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 |
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 |
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 |
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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