Yoseob Han

According to our database, Yoseob Han authored at least 26 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hierarchical Decomposed Dual-domain Deep Learning for Sparse-View CT Reconstruction.

Yoseob Han

CoRR, January, 2025

End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT.

Yoseob Han, Dufan Wu, Kyungsang Kim, Quanzheng Li

CoRR, January, 2025

Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptions.

Jaehun Lee, Daniel Kim, Taehun Kim, Mohammed A. Al-masni, Yoseob Han, Dong-Hyun Kim, Kanghyun Ryu

Comput. Medical Imaging Graph., 2025

Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms.

Gunwoo Lee, Jungmin Lee, Minkyo Jung, Joseph Lee, Kihun Hong, Souhwan Jung, Yoseob Han

IEEE Access, 2025

2024

Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation.

Yoori Oh, Yoseob Han, Kyogu Lee

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

Semi-supervised Learning for Continuous Emotional Intensity Controllable Speech Synthesis with Disentangled Representations.

Yoori Oh, Juheon Lee, Yoseob Han, Kyogu Lee

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Continuous Emotional Intensity Controllable Speech Synthesis using Semi-supervised Learning.

Yoori Oh, Juheon Lee, Yoseob Han, Kyogu Lee

CoRR, 2022

2021

Deep learning STEM-EDX tomography of nanocrystals.

Yoseob Han, Jaeduck Jang, Eunju Cha, Junho Lee, Hyungjin Chung, Myoungho Jeong, Tae-Gon Kim, Byeong Gyu Chae, Hee Goo Kim, Shinae Jun, Sungwoo Hwang, Eunha Lee, Jong Chul Ye

Nat. Mach. Intell., 2021

2020

k-Space Deep Learning for Accelerated MRI.

Yoseob Han, Leonard Sunwoo, Jong Chul Ye

IEEE Trans. Medical Imaging, 2020

Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal.

Yoseob Han, Junyoung Kim, Jong Chul Ye

IEEE Trans. Medical Imaging, 2020

Cone-Angle Artifact Removal Using Differentiated Backprojection Domain Deep Learning.

Junyoung Kim, Yoseob Han, Jong Chul Ye

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results.

Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2018

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT.

Yoseob Han, Jong Chul Ye

IEEE Trans. Medical Imaging, 2018

Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems.

Jong Chul Ye, Yoseob Han, Eunju Cha

SIAM J. Imaging Sci., 2018

One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection.

Yoseob Han, Jong Chul Ye

CoRR, 2018

k-Space Deep Learning for Reference-free EPI Ghost Correction.

Juyoung Lee, Yoseob Han, Jong Chul Ye

CoRR, 2018

k-Space Deep Learning for Accelerated MRI.

Yoseob Han, Jong Chul Ye

CoRR, 2018

Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner.

Yoseob Han, Jingu Kang, Jong Chul Ye

CoRR, 2018

2017

Deep Learning Interior Tomography for Region-of-Interest Reconstruction.

Yoseob Han, Jawook Gu, Jong Chul Ye

CoRR, 2017

Deep Convolutional Framelets: A General Deep Learning for Inverse Problems.

Jong Chul Ye, Yoseob Han

CoRR, 2017

Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR.

Yoseob Han, Jaejun Yoo, Jong Chul Ye

CoRR, 2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.

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, Jaejun 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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis.

Yoseob Han, Jaejun Yoo, Jong Chul Ye

CoRR, 2016

Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation.

Kyong Hwan Jin, Yoseob Han, Jong Chul Ye

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach.

Yoseob Han, Kyong Hwan Jin, Kyung Sang Kim, Jong Chul Ye

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation.

Minji Lee, Yoseob Han, John Paul Ward, Michael Unser, Jong Chul Ye

SIAM J. Imaging Sci., 2015