Yoseob Han
Yoseob Han
Mass General Hospital and Harvard Medical School
Verified email at - Homepage
Cited by
Cited by
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Framing U-Net via deep convolutional framelets: Application to sparse-view CT
Y Han, JC Ye
IEEE transactions on medical imaging 37 (6), 1418-1429, 2018
Deep convolutional framelets: A general deep learning framework for inverse problems
JC Ye, Y Han, E Cha
SIAM Journal on Imaging Sciences 11 (2), 991-1048, 2018
Deep learning with domain adaptation for accelerated projection‐reconstruction MR
Y Han, J Yoo, HH Kim, HJ Shin, K Sung, JC Ye
Magnetic resonance in medicine 80 (3), 1189-1205, 2018
-Space Deep Learning for Accelerated MRI
Y Han, L Sunwoo, JC Ye
IEEE transactions on medical imaging 39 (2), 377-386, 2019
Reconstruction of multicontrast MR images through deep learning
WJ Do, S Seo, Y Han, JC Ye, SH Choi, SH Park
Medical Physics 47 (3), 983-997, 2020
One network to solve all ROIs: Deep learning CT for any ROI using differentiated backprojection
Y Han, JC Ye
Medical physics 46 (12), e855-e872, 2019
Deep learning interior tomography for region-of-interest reconstruction
Y Han, J Gu, JC Ye
arXiv preprint arXiv:1712.10248, 2017
Interior tomography using 1D generalized total variation. Part II: Multiscale implementation
M Lee, Y Han, JP Ward, M Unser, JC Ye
SIAM Journal on Imaging Sciences 8 (4), 2452-2486, 2015
Compressive dynamic aperture b-mode ultrasound imaging using annihilating filter-based low-rank interpolation
KH Jin, YS Han, JC Ye
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1009-1012, 2016
k‐Space deep learning for reference‐free EPI ghost correction
J Lee, Y Han, JK Ryu, JY Park, JC Ye
Magnetic Resonance in Medicine 82 (6), 2299-2313, 2019
Deep residual learning approach for sparse-view CT reconstruction
Y Han, JC Ye
Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2017
Deep learning STEM-EDX tomography of nanocrystals
Y Han, J Jang, E Cha, J Lee, H Chung, M Jeong, TG Kim, BG Chae, ...
Nature Machine Intelligence 3 (3), 267-274, 2021
Deep learning reconstruction for 9-view dual energy CT baggage scanner
Y Han, J Kang, JC Ye
arXiv preprint arXiv:1801.01258, 2018
Differentiated backprojection domain deep learning for conebeam artifact removal
Y Han, J Kim, JC Ye
IEEE Transactions on Medical Imaging 39 (11), 3571-3582, 2020
Accelerated projection reconstruction MR imaging using deep residual learning
YS Han, D Lee, J Yoo, JC Ye
International Society for Magnetic Resonance in Medicine, 2017
Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach
YS Han, KH Jin, K Kim, JC Ye
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 573-576, 2016
Improving the reliability of pharmacokinetic parameters at dynamic contrast-enhanced MRI in astrocytomas: a deep learning approach
KS Choi, SH You, Y Han, JC Ye, B Jeong, SH Choi
Radiology 297 (1), 178-188, 2020
Uncertainties in Density and Simulation Parameters for Radiographic Reconstructions Using Machine Learning
ML Klasky, BT Nadiga, JLS Disterhaupt, T Wilcox, LD Hovey, T Mockler, ...
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2020
Cone-angle artifact removal using differentiated backprojection domain deep learning
J Kim, Y Han, JC Ye
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 642-645, 2020
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