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Showing results 1 to 7 of 7

1
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

2
CONE-ANGLE ARTIFACT REMOVAL USING DIFFERENTIATED BACKPROJECTION DOMAIN DEEP LEARNING

Kim, Junyoung; Han, Yoseob; Ye, Jong Chul, IEEE 17th International Symposium on Biomedical Imaging (ISBI), pp.642 - 645, IEEE, 2020-04

3
Deep learning for artifact correction for CT & MR acquired from imperfect acquisition condition = 불완벽한 CT 및 MR 측정 데이터로 부터의 영상 열화 보정을 위한 인공신경망에 관한 연구link

Han, Yoseob; Ye, Jong Chul; et al, 한국과학기술원, 2019

4
Deep Residual Learning Approach for Sparse-view CT Reconstruction

Han, Yoseob; Ye, Jong Chul, Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D conference organization, 2017-06

5
Method for processing multi-directional X-ray computed tomography image using artificial neural network and apparatus therefor

Ye, Jong Chul; Han, Yoseob

6
Method for processing sparse-view computed tomography image using neural network and apparatus therefor

Ye, Jong Chul; Han, Yoseob

7
Multi-scale Circular Conebeam Interior Tomography using Bedrosian Identity: Verification with Real Data

Han, Yoseob; Lee, Min Ji; Ward, JP; Unser, M; Cho, SY; Ye, Jong Chul, International Conference on Image Formation in X-Ray Computed Tomography, CT meeting conference organization, 2016-07

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