Li Zhou

According to our database, Li Zhou authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

Co-Retention feature pyramid network for low-dose CT denoising via spatial and frequency domain learning.

Li Zhou, Bahareh Morovati, Dayang Wang, Yongshun Xu, Shuo Han, Shuyi Fan, Changsheng Fang, Yu Shi, Hengyong Yu

Biomed. Signal Process. Control., 2026

CBCT-Pose: Few-Shot Viewpoint-Conditioned Diffusion for Sparse-View CBCT Reconstruction.

Li Zhou, Changsheng Fang, Bahareh Morovati, Shuo Han, Shuyi Fan, Yu Shi, Hengyong Yu

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

PoCGM: Poisson-Conditioned Generative Model for Sparse-View CT Reconstruction.

Changsheng Fang, Yongtong Liu, Bahareh Morovati, Shuo Han, Li Zhou, Hengyong Yu

CoRR, November, 2025

Physics-Informed Score-Based Diffusion Model for Limited-Angle Reconstruction of Cardiac Computed Tomography.

Shuo Han, Yongshun Xu, Dayang Wang, Bahareh Morovati, Li Zhou, Jonathan S. Maltz, Ge Wang, Hengyong Yu

IEEE Trans. Medical Imaging, September, 2025

Clinical Metadata Guided Limited-Angle CT Image Reconstruction.

Yu Shi, Shuyi Fan, Changsheng Fang, Shuo Han, Haodong Li, Li Zhou, Bahareh Morovati, Dayang Wang, Hengyong Yu

CoRR, September, 2025

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction.

Changsheng Fang, Yongtong Liu, Bahareh Morovati, Shuo Han, Yu Shi, Li Zhou, Shuyi Fan, Hengyong Yu

CoRR, June, 2025

Photon-Counting CT Reconstruction Using Separable Attention-Based Tensor Neural Network Prior.

Bahareh Morovati, Shuo Han, Li Zhou, Dayang Wang, Hengyong Yu

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

LoMAE: Simple Streamlined Low-Level Masked Autoencoders for Robust, Generalized, and Interpretable Low-Dose CT Denoising.

Dayang Wang, Shuo Han, Yongshun Xu, Zhan Wu, Li Zhou, Bahareh Morovati, Hengyong Yu

IEEE J. Biomed. Health Informatics, November, 2024

ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction.

Li Zhou, Changsheng Fang, Bahareh Morovati, Yongtong Liu, Shuo Han, Yongshun Xu, Hengyong Yu

CoRR, 2024

Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising.

Li Zhou, Dayang Wang, Yongshun Xu, Shuo Han, Bahareh Morovati, Shuyi Fan, Hengyong Yu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising.

Dayang Wang, Yongshun Xu, Shuo Han, Zhan Wu, Li Zhou, Bahareh Morovati, Hengyong Yu

CoRR, 2023

2022

A Spatio-temporal Learning for Music Conditioned Dance Generation.

Li Zhou, Yan Luo

Proceedings of the International Conference on Multimodal Interaction, 2022

2021

Prediction of pediatric activity intensity with wearable sensors and bi-directional LSTM models.

Li Zhou, Xiao Qu, Ting Zhang, Jianxin Wu, Hao Yin, Hongyan Guan, Yan Luo

Pattern Recognit. Lett., 2021

Deep Features Fusion with Mutual Attention Transformer for Skin Lesion Diagnosis.

Li Zhou, Yan Luo

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Multitask LSTM Model for Human Activity Recognition and Intensity Estimation Using Wearable Sensor Data.

Onur Barut, Li Zhou, Yan Luo

IEEE Internet Things J., 2020