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Kyong Hwan Jin

Showing results (1-10 of 23) with videos related to

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Behavioural Brain Research|February 18, 2018
Predicting cognitive decline with deep learning of brain metabolism and amyloid imagingHongyoon Choi, Kyong Hwan Jin,
Journal of Neuroscience Methods|November 5, 2016
Fast and robust segmentation of the striatum using deep convolutional neural networksHongyoon Choi, Kyong Hwan Jin
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 11, 2018
Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise RemovalKyong Hwan Jin, Jong Chul Ye
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 19, 2015
Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image InpaintingKyong Hwan Jin, Jong Chul Ye
Magnetic Resonance in Medicine|February 19, 2016
Reference-free single-pass EPI Nyquist ghost correction using annihilating filter-based low rank Hankel matrix (ALOHA)Juyoung Lee, Kyong Hwan Jin, Jong Chul Ye
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 12, 2018
Grid-Free Localization Algorithm Using Low-rank Hankel Matrix for Super-Resolution MicroscopyJunhong Min, Kyong Hwan Jin, Michael Unser, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 23, 2017
Deep Convolutional Neural Network for Inverse Problems in ImagingKyong Hwan Jin, Michael T McCann, Emmanuel Froustey, et al.
Optics Express|October 6, 2012
Terahertz substance imaging by waveform shapingMinwoo Yi, Hyosub Kim, Kyong Hwan Jin, et al.
IEEE Transactions on Medical Imaging|June 6, 2018
CNN-Based Projected Gradient Descent for Consistent CT Image ReconstructionHarshit Gupta, Kyong Hwan Jin, Ha Q Nguyen, et al.
IEEE Transactions on Medical Imaging|May 27, 2021
Time-Dependent Deep Image Prior for Dynamic MRIJaejun Yoo, Kyong Hwan Jin, Harshit Gupta, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Behavioural Brain Research|February 18, 2018
Predicting cognitive decline with deep learning of brain metabolism and amyloid imagingHongyoon Choi, Kyong Hwan Jin,
Journal of Neuroscience Methods|November 5, 2016
Fast and robust segmentation of the striatum using deep convolutional neural networksHongyoon Choi, Kyong Hwan Jin
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 11, 2018
Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise RemovalKyong Hwan Jin, Jong Chul Ye
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 19, 2015
Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image InpaintingKyong Hwan Jin, Jong Chul Ye
Magnetic Resonance in Medicine|February 19, 2016
Reference-free single-pass EPI Nyquist ghost correction using annihilating filter-based low rank Hankel matrix (ALOHA)Juyoung Lee, Kyong Hwan Jin, Jong Chul Ye
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 12, 2018
Grid-Free Localization Algorithm Using Low-rank Hankel Matrix for Super-Resolution MicroscopyJunhong Min, Kyong Hwan Jin, Michael Unser, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 23, 2017
Deep Convolutional Neural Network for Inverse Problems in ImagingKyong Hwan Jin, Michael T McCann, Emmanuel Froustey, et al.
Optics Express|October 6, 2012
Terahertz substance imaging by waveform shapingMinwoo Yi, Hyosub Kim, Kyong Hwan Jin, et al.
IEEE Transactions on Medical Imaging|June 6, 2018
CNN-Based Projected Gradient Descent for Consistent CT Image ReconstructionHarshit Gupta, Kyong Hwan Jin, Ha Q Nguyen, et al.
IEEE Transactions on Medical Imaging|May 27, 2021
Time-Dependent Deep Image Prior for Dynamic MRIJaejun Yoo, Kyong Hwan Jin, Harshit Gupta, et al.
Pageof 3