Jae Jun Yoo

Publication Activity (10 Years)

Years Active: 2007-2020
Publications (10 Years): 16

Top Topics

Mathematical Framework

Image Restoration

Top Venues

IEEE Trans. Medical Imaging

Publications

Jae Jun Yoo, Sohail Sabir, Duchang Heo, Kee Hyun Kim, Abdul Wahab, Yoonseok Choi, Seul-I Lee, Eun Young Chae, Hak Hee Kim, Young Min Bae, Young-Wook Choi, Seungryong Cho, Jong Chul Ye
Deep Learning Diffuse Optical Tomography. IEEE Trans. Medical Imaging 39 (4) (2020)
Jae Jun Yoo, Abdul Wahab, Jong Chul Ye
A Mathematical Framework for Deep Learning in Elastic Source Imaging. SIAM J. Appl. Math. 78 (5) (2018)
Jae Jun Yoo, Abdul Wahab, Jong Chul Ye
A Mathematical Framework for Deep Learning in Elastic Source Imaging. CoRR (2018)
Dongwook Lee, Jae Jun Yoo, Sungho Tak, Jong Chul Ye
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks. IEEE Trans. Biomed. Eng. 65 (9) (2018)
Dongwook Lee, Jae Jun Yoo, Sungho Tak, Jong Chul Ye
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks. CoRR (2018)
Eunhee Kang, Won Chang, Jae Jun Yoo, Jong Chul Ye
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network. IEEE Trans. Medical Imaging 37 (6) (2018)
Dongwook Lee, Jae Jun Yoo, Jong Chul Ye
Deep residual learning for compressed sensing MRI. ISBI (2017)
Eunhee Kang, Jae Jun Yoo, Jong Chul Ye
Wavelet Residual Network for Low-Dose CT via Deep Convolutional Framelets. CoRR (2017)
Dongwook Lee, Jae Jun Yoo, Jong Chul Ye
Deep artifact learning for compressed sensing and parallel MRI. CoRR (2017)
Jae Jun Yoo, Sohail Sabir, Duchang Heo, Kee Hyun Kim, Abdul Wahab, Yoonseok Choi, Seul-I Lee, Eun Young Chae, Hak Hee Kim, Young Min Bae, Young-Wook Choi, Seungryong Cho, Jong Chul Ye
Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography. CoRR (2017)
Woong Bae, Jae Jun Yoo, Jong Chul Ye
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification. CVPR Workshops (2017)
Yoseob Han, Jae Jun Yoo, Jong Chul Ye
Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR. CoRR (2017)
Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops (2017)
Jae Jun Yoo, Younghoon Jung, Mikyoung Lim, Jong Chul Ye, Abdul Wahab
A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media. SIAM J. Imaging Sci. 10 (3) (2017)
Woong Bae, Jae Jun Yoo, Jong Chul Ye
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification. CoRR (2016)
Yoseob Han, Jae Jun Yoo, Jong Chul Ye
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis. CoRR (2016)
Jae Jun Yoo, Jongmin Kim, Chang-Hwan Im, Jong Chul Ye
Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning. ISBI (2013)
Kyungbok Sung, Jae Jun Yoo, Dohyun Kim
Collision Warning System on a Curved Road Using Wireless Sensor Networks. VTC Fall (2007)