个人简介

张慧丽，博士，讲师，硕士生导师。2025年1月获得上海大学信号与信息处理专业博士学位。主要从事医学影像处理研究，以人工智能技术为核心，基于超声、MRI和CT等影像数据构建智能诊断模型。近年来共发表学术论文9篇，其中以第一作者身份发表3篇。

联系方式

河南医药大学北校区勤政楼226

电话：13683808695

邮箱：huilizhang92@163.com

研究方向

医学影像处理、机器学习（深度学习）、超声成像

招生方向

医学技术（学术型）：医学影像处理

承担项目

1. 河南医药大学，博士科研启动项目（80万），2025.05-2030.05，主持。

代表性论文

1. Huili Zhang, Lehang Guo*, Juncheng Li, Jun Wang, Shihui Ying, and Jun Shi*. Multi-view disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images. Information Processing & Management, 2024, 61(6): 103855.

2. Huili Zhang, Lehang Guo*, Jun Wang, Shihui Ying, and Jun Shi*. Multi-view feature transformation based SVM+ for computer-aided diagnosis of liver cancers with ultrasound images. IEEE Journal Biomedical and Health Informatics, 2023, 27(3): 1512-1523.

3. Huili Zhang, Lehang Guo, Jun Wang, Lili Bao, Shihui Ying, Huixiong Xu*, and Jun Shi*. Multi-source transfer learning via multi-kernel support vector machine plus for B-mode ultrasound-based computer-aided diagnosis of liver cancers. IEEE Journal Biomedical and Health Informatics, 2021, 25(10): 3874-3885.

4. Chunxiao Li#,Huili Zhang#(共一第二), Jing Chen, Sihui Shao, Xin Li, Minghua Yao, Yi Zheng, Rong Wu*, Jun Shi*. Deep learning radiomics of ultrasonography for differentiating sclerosing adenosis from breast cancer. Clinical Hemorheology and Microcirculation, 2023, 84(2): 153-163.

5. Zhifeng Pang*, Huili Zhang, Shousheng Luo, and Tieyong Zeng. Image denoising based on the adaptive weighted TV𝑝 regularization. Signal Processing, 2020, 167: 107325.

6. Jiashi Cao, Qiong Li, Huili Zhang, et. al. Radiomics model based on MRI to differentiate spinal multiple myeloma from metastases: A two-center study. Journal of Bone Oncology, 2024, 45: 100599.

7. Jiaxin Huang#, Jun Shi#, Saisai Ding, Huili Zhang, et al. Deep learning model based on dual modal ultrasound and molecular data for predicting response to neoadjuvant chemotherapy in breast cancer. Academic Radiology, 2023, 30: 50-61.

8. Weijie Kang, Min Ji, Huili Zhang, et. al. A novel clinical-radiomics model predicted renal lesions and deficiency in children on diffusion-weighted MRI. Frontiers in Physics, 2022, 10: 920506.

9. 庞志峰*, 张慧丽, 史宝丽. 基于l^p的DTV图像去噪模型. 北京航空航天大学学报, 2019, 45(3): 464-471.