A Novel Interactive Image Processing Approach for DICOM Medical Image Data. - Zhanli Hu; Hairong Zheng; Jianbao Gui (BMEI, 2009)

Real-Time Visualization and Interaction of Three-dimensional Human CT Images. - Zhanli Hu; Jing Zou; Jianbao Gui; Junyan Rong; Yanming Li; Dongxing Xi; Hairong Zheng (J. Comput., 2010)

Geometric Calibration of a Micro-CT System and Performance for Insect Imaging. - Zhanli Hu; Jianbao Gui; Jing Zou; Junyan Rong; Qiyang Zhang; Hairong Zheng; Dan Xia (IEEE Trans. Inf. Technol. Biomed., 2011)

Teeth segmentation using dental CT data. - Zhanli Hu; P. Z. Wu; Jianbao Gui; Yao Chen; Hairong Zheng (BMEI, 2014)

A projection matrix-based geometric calibration algorithm in CBCT system. - Juan Gao; Yunsong Qi; Changhui Jiang; Na Zhang 001; Zhanli Hu (CISP-BMEI, 2017)

Low-Dose Computed Tomography Image Super-Resolution Reconstruction via Random Forests. - Peijian Gu; Changhui Jiang; Min Ji; Qiyang Zhang; Yongshuai Ge; Dong Liang 001; Xin Liu 053; Yongfeng Yang; Hairong Zheng; Zhanli Hu (Sensors, 2019)

PET Image Reconstruction Using a Cascading Back-Projection Neural Network. - Qiyang Zhang; Juan Gao; Yongshuai Ge; Na Zhang 001; Yongfeng Yang; Xin Liu 053; Hairong Zheng; Dong Liang 001; Zhanli Hu (IEEE J. Sel. Top. Signal Process., 2020)

CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging. - Zhiyuan Huang; Zixiang Chen; Qiyang Zhang; Guotao Quan; Min Ji; Chengjin Zhang; Yongfeng Yang; Xin Liu 053; Dong Liang 001; Hairong Zheng; Zhanli Hu (IEEE Trans. Computational Imaging, 2020)

The Head and Neck Tumor Segmentation in PET/CT Based on Multi-channel Attention Network. - Guoshuai Wang; Zhengyong Huang; Hao Shen; Zhanli Hu (HECKTOR@MICCAI, 2021)

FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms. - Zhenxing Huang; Xinfeng Liu; Rongpin Wang; Mudan Zhang; Xianchun Zeng; Jun Liu 080; Yongfeng Yang; Xin Liu 053; Hairong Zheng; Dong Liang 001; Zhanli Hu (Appl. Intell., 2021)

DeepPhase: Learning phase contrast signal from dual energy X-ray absorption images. - Ronghui Luo; Yongshuai Ge; Zhanli Hu; Dong Liang 001; Zhi-Cheng Li 001 (Displays, 2021)

Dynamic PET Imaging Using Dual Texture Features. - Zhanglei Ouyang; Shujun Zhao; Zhaoping Cheng; Yanhua Duan; Zixiang Chen; Na Zhang 001; Dong Liang 001; Zhanli Hu (Frontiers Comput. Neurosci., 2021)

Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks. - Zhenxing Huang; Xinfeng Liu; Rongpin Wang; Jincai Chen; Ping Lu 006; Qiyang Zhang; Changhui Jiang; Yongfeng Yang; Xin Liu 053; Hairong Zheng; Dong Liang 001; Zhanli Hu (Neurocomputing, 2021)

Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites. - Zhenxing Huang; Xinfeng Liu; Rongpin Wang; Zixiang Chen; Yongfeng Yang; Xin Liu 053; Hairong Zheng; Dong Liang 001; Zhanli Hu (IEEE J. Biomed. Health Informatics, 2021)

TG-Net: Combining transformer and GAN for nasopharyngeal carcinoma tumor segmentation based on total-body uEXPLORER PET/CT scanner. - Zhengyong Huang; Si Tang; Zixiang Chen; Guoshuai Wang; Hao Shen; Yun Zhou; Haining Wang; Wei Fan; Dong Liang 001; Yingying Hu; Zhanli Hu (Comput. Biol. Medicine, 2022)

Improved GAN: Using a transformer module generator approach for material decomposition. - Guoshuai Wang; Zhou Liu; Zhengyong Huang; Na Zhang 001; Honghong Luo; Lijian Liu; Hao Shen; Canwen Che; Tianye Niu; Dong Liang 001; Dehong Luo; Zhanli Hu (Comput. Biol. Medicine, 2022)

Segmentation-guided Denoising Network for Low-dose CT Imaging. - Zhenxing Huang; Zhou Liu; Pin He; Ya Ren; Shuluan Li; Yuanyuan Lei 004; Dehong Luo; Dong Liang 001; Dan Shao; Zhanli Hu; Na Zhang 001 (Comput. Methods Programs Biomed., 2022)

ISA-Net: Improved spatial attention network for PET-CT tumor segmentation. - Zhengyong Huang; Sijuan Zou; Guoshuai Wang; Zixiang Chen; Hao Shen; Haiyan Wang; Na Zhang 001; Lu Zhang; Fan Yang 049; Haining Wang; Dong Liang 001; Tianye Niu; et al. (Comput. Methods Programs Biomed., 2022)

High Temporal Resolution Total-Body Dynamic PET Imaging Based on Pixel-Level Time-Activity Curve Correction. - Zixiang Chen; Yaping Wu; Na Zhang 001; Tao Sun 025; Yu Shen; Hairong Zheng; Dong Liang 001; Meiyun Wang; Zhanli Hu (IEEE Trans. Biomed. Eng., 2022)

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model. - Taofeng Xie; Chentao Cao; Zhuoxu Cui; Yu Guo 008; Caiying Wu; Xuemei Wang; Qingneng Li; Zhanli Hu; Tao Sun 025; Ziru Sang; Yihang Zhou; Yanjie Zhu; et al. (CoRR, 2023)

Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation. - Zhi-Feng Pang; Mengxiao Geng; Lan Zhang; Yanru Zhou; Tieyong Zeng; Liyun Zheng; Na Zhang 001; Dong Liang 001; Hairong Zheng; Yongming Dai; Zhenxing Huang; Zhanli Hu (Signal Process., 2023)

Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning. - Pengfei Yang; Xin Ge; Tiffany Tsui; Xiaokun Liang; Yaoqin Xie; Zhanli Hu; Tianye Niu (IEEE Trans. Medical Imaging, 2023)

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. - Minghan Fu; Meiyun Wang; Yaping Wu; Na Zhang 001; Yongfeng Yang; Haining Wang; Yun Zhou; Yue Shang; Fang-Xiang Wu; Hairong Zheng; Dong Liang 001; Zhanli Hu (IEEE J. Biomed. Health Informatics, 2023)

Cross-modality image translation: CT image synthesis of MR brain images using multi generative network with perceptual supervision. - Xianfan Gu; Yu Zhang; Wen Zeng; Sihua Zhong; Haining Wang; Dong Liang 001; Zhenlin Li; Zhanli Hu (Comput. Methods Programs Biomed., 2023)

MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks. - Zhenxing Huang; Wenbo Li; Yunling Wang; Zhou Liu; Qiyang Zhang; Yuxi Jin; Ruodai Wu; Guotao Quan; Dong Liang 001; Zhanli Hu; Na Zhang 001 (Artif. Intell. Medicine, 2023)

Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC). - Zixiang Chen; Na Zhang 001; Qiyang Zhang; Kaiyi Liang; Zhenxing Huang; Guotao Quan; Xiang Li; Dong Liang 001; Zhanli Hu (Biomed. Signal Process. Control., 2023)

SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis. - Minghan Fu; Ming Fang; Rayyan Azam Khan; Bo Liao; Zhanli Hu; Fang-Xiang Wu (Artif. Intell. Medicine, 2024)

Deep Generalized Learning Model for PET Image Reconstruction. - Qiyang Zhang; Yingying Hu; Yumo Zhao; Jing Cheng; Wei Fan; Debin Hu; Fuxiao Shi; Shuangliang Cao; Yun Zhou; Yongfeng Yang; Xin Liu 053; Hairong Zheng; et al. (IEEE Trans. Medical Imaging, 2024)

OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising. - Minghan Fu; Na Zhang 001; Zhenxing Huang; Chao Zhou; Xu Zhang; Jianmin Yuan; Qiang He; Yongfeng Yang; Hairong Zheng; Dong Liang 001; Fang-Xiang Wu; Wei Fan; et al. (IEEE Trans. Medical Imaging, 2024)

Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation. - Zhenxing Huang; Wenbo Li; Yaping Wu; Lin Yang; Yun Dong; Yongfeng Yang; Hairong Zheng; Dong Liang 001; Meiyun Wang; Zhanli Hu (IEEE J. Biomed. Health Informatics, 2024)

MMCA-NET: A Multimodal Cross Attention Transformer Network for Nasopharyngeal Carcinoma Tumor Segmentation Based on a Total-Body PET/CT System. - Wenjie Zhao; Zhenxing Huang; Si Tang; Wenbo Li; Yunlong Gao; Yingying Hu; Wei Fan; Chuanli Cheng; Yongfeng Yang; Hairong Zheng; Dong Liang 001; Zhanli Hu (IEEE J. Biomed. Health Informatics, 2024)

Feasibility of ultrafast DCE-MRI for identifying benign and malignant breast lesions. - Junhui Huang; Yongsheng Ao; Lan Mu; Jierui Zhao; Hongliang Chen; Long Yang; Bingyu Yao; Shuheng Zhang; Shimin Yang; Greta S. P. Mok; Ke Zhang; Zhanli Hu; et al. (Comput. Medical Imaging Graph., 2025)

MMR-Mamba: Multi-modal MRI reconstruction with Mamba and spatial-frequency information fusion. - Jing Zou; Lanqing Liu; Qi Chen; Shujun Wang; Zhanli Hu; Xiaohan Xing; Jing Qin 001 (Medical Image Anal., 2025)

Automatic Brain Segmentation for PET/MR Dual-Modal Images Through a Cross-Fusion Mechanism. - Hongyan Tang; Zhenxing Huang; Wenbo Li; Yaping Wu; Jianmin Yuan; Yang Yang; Yan Zhang; Jing Qin 001; Hairong Zheng; Dong Liang 001; Meiyun Wang; Zhanli Hu (IEEE J. Biomed. Health Informatics, 2025)

Prompt Guiding Multi-Scale Adaptive Sparse Representation-driven Network for Low-Dose CT MAR. - Baoshun Shi; Bing Chen; Shaolei Zhang; Huazhu Fu; Zhanli Hu (CoRR, 2025)

IM-Diff: Implicit Multi-Contrast Diffusion Model for Arbitrary Scale MRI Super-Resolution. - Lanqing Liu; Jing Zou; Cheng Xu; Kang Wang 004; Jun Lyu; Xuemiao Xu; Zhanli Hu; Jing Qin 001 (IEEE J. Biomed. Health Informatics, 2025)

BenchReAD: A systematic benchmark for retinal anomaly detection. - Chenyu Lian; Hong-Yu Zhou; Zhanli Hu; Jing Qin 001 (CoRR, 2025)