Yu-Jung Tsai

According to our database, Yu-Jung Tsai authored at least 10 papers between 2012 and 2024.

Collaborative distances:

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

2024

Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification.

Qiong Liu, Yu-Jung Tsai, Jean-Dominique Gallezot, Xueqi Guo, Ming-Kai Chen, Darko Pucar, Colin Young, Vladimir Y. Panin, Michael E. Casey, Tianshun Miao, Huidong Xie, Xiongchao Chen, Bo Zhou, Richard E. Carson, Chi Liu

Medical Image Anal., 2024

POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation.

Bo Zhou, Jun Hou, Tianqi Chen, Yinchi Zhou, Xiongchao Chen, Huidong Xie, Qiong Liu, Xueqi Guo, Yu-Jung Tsai, Vladimir Y. Panin, Takuya Toyonaga, James S. Duncan, Chi Liu

CoRR, 2024

2023

Fast-MC-PET: A Novel Deep Learning-Aided Motion Correction and Reconstruction Framework for Accelerated PET.

Bo Zhou, Yu-Jung Tsai, Jiazhen Zhang, Xueqi Guo, Huidong Xie, Xiongchao Chen, Tianshun Miao, Yihuan Lu, James S. Duncan, Chi Liu

Proceedings of the Information Processing in Medical Imaging, 2023

2021

MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET.

Bo Zhou, Yu-Jung Tsai, Xiongchao Chen, James S. Duncan, Chi Liu

IEEE Trans. Medical Imaging, 2021

Automatic monitoring of lactation frequency of sows and movement quantification of newborn piglets in farrowing houses using convolutional neural networks.

Kuan-Ying Ho, Yu-Jung Tsai, Yan-Fu Kuo

Comput. Electron. Agric., 2021

2020

Benefits of Using a Spatially-Variant Penalty Strength With Anatomical Priors in PET Reconstruction.

Yu-Jung Tsai, Georg Schramm, Sangtae Ahn, Alexandre Bousse, Simon R. Arridge, Johan Nuyts, Brian F. Hutton, Charles W. Stearns, Kris Thielemans

IEEE Trans. Medical Imaging, 2020

Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning.

Bo Zhou, Yu-Jung Tsai, Chi Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018

Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning.

Yu-Jung Tsai, Alexandre Bousse, Matthias J. Ehrhardt, Charles W. Stearns, Sangtae Ahn, Brian F. Hutton, Simon R. Arridge, Kris Thielemans

IEEE Trans. Medical Imaging, 2018

2015

Acceleration of MAP-EM algorithm via over-relaxation.

Yu-Jung Tsai, Hsuan-Ming Huang, Yu-Hua Dean Fang, Shi-Ing Chang, Ing-Tsung Hsiao

Comput. Medical Imaging Graph., 2015

2012

Energy-efficient RISC design with on-demand circuit-level timing speculation.

Tay-Jyi Lin, Yu-Ting Kuo, Yu-Jung Tsai, Ting-Yu Shyu, Yuan-Hua Chu

Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012