Yinchi Zhou

According to our database, Yinchi Zhou authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

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, Menghua Xia, Yu-Jung Tsai, Vladimir Y. Panin, Takuya Toyonaga, James S. Duncan, Chi Liu

IEEE Trans. Medical Imaging, April, 2025

Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising.

Yinchi Zhou, Huidong Xie, Menghua Xia, Qiong Liu, Bo Zhou, Tianqi Chen, Jun Hou, Liang Guo, Xinyuan Zheng, Hanzhong Wang, Biao Li, Axel Rominger, Kuangyu Shi, Nicha C. Dvornek, Chi Liu

CoRR, March, 2025

2024

Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation.

Yinchi Zhou, Tianqi Chen, Jun Hou, Huidong Xie, Nicha C. Dvornek, S. Kevin Zhou, David L. Wilson, James S. Duncan, Chi Liu, Bo Zhou

Medical Image Anal., 2024

2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction.

Tianqi Chen, Jun Hou, Yinchi Zhou, Huidong Xie, Xiongchao Chen, Qiong Liu, Xueqi Guo, Menghua Xia, James S. Duncan, Chi Liu, Bo Zhou

CoRR, 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

PDM: A Plug-and-Play Perturbed Multi-path Diffusion Module for Simultaneous Medical Image Segmentation Improvement and Uncertainty Estimation.

Bo Zhou, Tianqi Chen, Jun Hou, Yinchi Zhou, Huidong Xie, Chi Liu, James S. Duncan

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Self-supervised Pre-training Tasks for an fMRI Time-Series Transformer in Autism Detection.

Yinchi Zhou, Peiyu Duan, Yuexi Du, Nicha C. Dvornek

Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024

2023

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.

Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang

Medical Image Anal., December, 2023

Multi-Contrast Computed Tomography Atlas of Healthy Pancreas.

Yinchi Zhou, Ho Hin Lee, Yucheng Tang, Xin Yu, Qi Yang, Shunxing Bao, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman

CoRR, 2023

2022

Characterizing Renal Structures with 3D Block Aggregate Transformers.

Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman

CoRR, 2022