A deep attention-based ensemble network for real-time face hallucination. - Dongdong Liu; Jincai Chen; Zhenxing Huang; Ni Zeng; Ping Lu 006; Lin Yang; Haofeng Wang; Jinqiao Kou; Min Wu (J. Real Time Image Process., 2020)

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)

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)

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)

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)

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)

Quantitative pharmacokinetic parameter Ktrans map assists in regional segmentation of nasopharyngeal carcinoma in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). - Junhui Huang; Shangpo Yang; Liyan Zou; Yingying Chen; Long Yang; Bingyu Yao; Zhenxing Huang; Yihong Zhong; Zhou Liu; Na Zhang 001 (Biomed. Signal Process. Control., 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)

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)