发表的学术成果

PUBLICATION LISTS:
[1]Hongmei Zhang, Songshi Liang, Luke A. Matkovic, Shadab Momin, Kai Wang4 Xiaofeng Yang, Michael F. Insana. Deep Q-learning to globally optimize a k-D parameter search for medical imaging, Quantitative Imaging in Medicine and Surgery, 2023 | https://dx.doi.org/10.21037/qims-22-1147
[2]Hongmei Zhang, Tongqing Lu, Qingzhe Zhang, Yan Zhou, Hongrui Zhu, Joseph Harms, Xiaofeng Yang, Mingxi Wan, Michael F. Insana. Solutions to ramp-hold dynamic oscillation indentation tests for assessing the viscoelasticity of hydrogel by Kelvin-Voigt fractional derivative modeling, Mechanics of Materials, 2020, 148: 103431.
[3]Hongmei Zhang, Ying Guo, Yan Zhou, Hongrui Zhu, Manman Song, Kai Wang, Meili Gao, Litao Ruan, Mingxi Wan, Michael F. Insana. Fluidity and elasticity form a concise set of viscoelastic biomarkers for breast cancer diagnosis based on Kelvin–Voigt fractional derivative modeling, Biomechanics and Modeling in Mechanobiology, 2020, 19:2163–2177. 
[4]Hongmei Zhang, Lei Xu, Zhihui Liu, Shukuan Lu, Jichao Yin, Sibo Tian, Xiaofeng Yang, Mingxi Wan. Statistical and Texture Descriptors of Symptomatic Plantar Fasciitis Using Ultrasound Shear Wave Elastography, IEEE Access, 2020: 1-1.10.1109/ACCESS.2020.3005829. 
[5]Hongmei Zhang, Manman Song, Litao Ruan, Furong Zhang, Aifeng Zhang, Andrew M. Siedlecki, Mingxi Wan. Von Mises Strain as a Risk Marker for Vulnerability of Carotid Plaque: Preliminary Clinical Evaluation of Cerebral Infarction, Ultrasound Med Biol 2019, 45:1221-1233
[6]Hongmei Zhang, Qingzhe Zhang, Litao Ruan, Mingxi Wan, Michael F. Insana. Modeling Ramp-hold Indentation Measurements based on Kelvin-Voigt Fractional Derivative Model, Measurement Science and Technology, 2018, 29(3): 1-16. 
[7]Hongmei Zhang, Yue Wang, Mostafa Fatemi , Michael F. Insana. Assessing composition and structure of soft biphasic media from Kelvin-Voigt fractional derivative model parameters, Measurement Science and Technology, 2017, 28(3): 035703.
[8]Hongmei Zhang, Yue Wang, Michael F. Insana. Ramp-hold relaxation solutions for the KVFD model applied to soft viscoelastic media, Measurement Science and Technology, 2016, 27 :1-11. 
[9]Hongmei Zhang, Manman Song, Ming Yang, Litao Ruan, Mingxi Wan. Fast Von Mises Strain Imaging on Ultrasound Carotid Vessel Wall by Flow Driven Diffusion Method, Australasian Physical & Engineering Sciences in Medicine, 2018, 41: 669–686.
[10]Hongmei Zhang, Yue Wang, LiTao Ruan, Junbo Duan, MingXi Wan. Non-invasive Von Mises Strain imaging for Longitudinal Artery Wall, Journal of Medical Imaging and Health Informatics, 2016,6(4):906-915. 
[11]Hongmei Zhang, HuiE Zhang, JunFeng Wu, ShuangSheng Gao. Detection of thin structure defects in radiographic images using an improved Gabor filter, Insight - Non-Destructive Testing and Condition Monitoring, 2017,59(10):531-536.
[12]Hongmei Zhang, Mingxi Wan, Zhengzhong Bian. Complementary tensor-driven image coherence diffusion for oriented structure enhancement, EURASIP Journal on Advances in Signal Processing, 2011,1:70.
[13]HongMei Zhang, MingXi Wan, JinJin Wan,XuLei Qin. Super-Resolution Reconstruction of Deformable Tissue from Temporal Sequence of Ultrasound Images, 2010 International conference on artificial Intelligence and Computational Intelligence. Vol. 1, pp.337-342.
[14]Hongmei Zhang,Mingxi Wan, Bo Shen, Xiaodong Wang, Mingzhu Lu. Volume estimation in a sequence of freehand ultrasound images. Measurement Science and Technology. 2006, 17 (11): 2927-2937. 
[15]Zhang Hongmei,Wan Mingxi. Improved Mumford-Shah Functional for Coupled Edge-Preserving Regularization and Image Segmentation. EURASIP Journal on Applied Signal Processing. 2006 Art. No. 37129 : 1-9  
[16]Zhang Hongmei,Bian Zhengzhong, Guo Youmin, Ye Min, Miao Yalin. Region information-based ROI extraction by multi-initial fast marching algorithm.  EURASIP Journal on Applied Signal Processing,2004,11:1739-1749. 
[17]Zhang Hongmei, Bian Zhengzhong, Yuan Zejian, Ye Min, Ji Feng. A novel multiresolution fuzzy segmentation method on MR image. Journal of Computer Science and Technology, 2003, 18(5): 659-666. 
[18]Zhang Hong-mei,Bian Zheng-zhong ,Guo You-min, Ye Min. Efficient approach to extraction of region of interest, Journal of Software, 2005, 16(1): 77-88.
[19]Zhang Hongmei, Bian Zhengzhong, Jiang Dazong, Yuan Zejian, Ye Min. Level set method for pulmonary vessels extraction. IEEE International Conference on Image Processing, Barcelona, Spain, 14-17 September 2003, 2:1105-1108. 
[20]Hongmei Zhang, Zhengzhong Bian, Youmin Guo, Baowei Fei, Min Ye. An efficient multiscale approach to level set evolution. The 25th Silver Anniversary International conference of the IEEE Engineering in Medicine and Biology Society, Cancun, Mexico, 17-21 Sept. 2003, 694-697. 
[21]Zhang Hong-mei, Yuan Ze-jian, Cai Zhong-min, Bian Zheng-zhong. Segmentation of MRI Using Hierarchical Markov Random Field. Journal of Software, 2002, 13(9): 1779-1786. 
[22]Zhang Hong-mei, Bian Zheng-zhong, Guo You-min, Yuan Ze-jian. An Efficient Approach to Pulmonary Vessels Extraction Based on Curve Evolution. Chinese Journal of Biomedical Engineering (English edition), 2004, 13(1): 39-46.
[23]Hongmei Zhang, Yalin Miao, Youmin Guo, Jiang Yang, Zhengzhong Bian, Vascular enhancement by anisotropic diffusion-reaction PDE. Microellectronics & Computer, 2004,21(3):25-27 (In Chinese).
[24]Hongmei Zhang, Donglang Chai, Zhengzhong Bian, a fast subdivision method for grid of composite material. Journal of Applied Mechanics, 2002,19(4):147-149. (In Chinese)

 

(Chinese National Invention patent) 
Zhang Hongmei, Ruan Litao, Zhang qingzhe, Guo Youmin, Wan Mingxi, Shan Baowen. A novel and high accuracy noninvasive elastic imaging of vascular wall. Authorized, ZL 2016012710027191.

Zhang Hongmei, Wang Kai, Liu Zhihui, Zhang Kehao, Zhou Yan, Yang Fan, Wang Jiong, Wan Mingxi. Machine learning optimization method of fractional order KVFD parameters for Viscoelastic characterization of soft matter, CN 202010598527.4 (publicizing)

 

Book  Chapter (In Chinese)
[1]Hongmei Zhang, Chapter  7  Elasticity reconstruction of Vascular (Mingxi Wan et al, Computational Ultrasonic imaging), 2019-01, 978-7-03-059103-6 Chinese Science Press. 
[2]Hongmei Zhang, Chapter  8  Fractional derivative model based viscoelastic measurement of biological tissue (Mingxi Wan et al, Computational Ultrasonic imaging ) 2010-05,978-7-03-027204-1 Chinese Science Press
[3]Hongmei Zhang, Chapter 10 Ultrasound medical image processing (Mingxi Wan et al, Biomedical Ultrasonics),  2010-05,978-7-03-027204-1, Chinese Science Press.  

 

(Software Copyright) 
[1]Hongmei Zhang ,Litao Ruan, Zhengzhong Bian, Youmin Guo, Mingxi Wan, Variational and d PDE base evolution methods  for image analysis.  (corpyright No. 2014SR080747)
[2]Hongmei Zhang , Mingxi Wan, Litao Ruan, Volume measurement from free hand Ultrasound images (copyright 2014SR080401)  

 

( Publication as co-corresponding author ) 
[1]Zhou Y, Song Y, Liu ZH, Li WB, Guo Y, Matkovic LA, Yang XF, Ma RN, Wan MX, Ruan LT*, Zhang HM*. The viscoelastic characteristics of in-vitro carotid plaque by Kelvin-Voigt fractional derivative modeling[J]. Journal of Biomechanics, 2022, 141 (2022) 111210.
[2]Song, Y., Li, W. B., Saleem, N., Tian, G., Ruan, L., & Zhang, H. (2023). Viscoelastic Characteristics in Mouse Model of Hepatic Steatosis With Inflammation by Kelvin–Voigt Fractional Derivative Modeling. Ultrasound in Medicine & Biology, 49(8), 1811-1816.
[3]Jianjun Yu, Hao Guo, Meng Han, Fan Wang, Ayache Bouakaz, Hongmei Zhang*, Mingxi Wan*. Transcranial ultrasound estimation of viscoelasticity and fluidity of the soft matter, Physical Review Applied. 2022, 17: 024001. 
[4]Yan Song, Ying Dang, Jichang Wang, Hui Cai, Jun Feng, Hongmei Zhang*, Litao Ruan. Carotid intraplaque neovascularization predicts Ischemic Stroke Recurrence in Patients with Carotid Atherosclerosis. Gerontology. 2021, 67(2):1-8. 
[5]Hongrui Zhu, Dui Qin, Youshen Wu,  Bowen Jing,  Jiajun Liu,  David Hazlewood,  Hongmei Zhang,  Yi Feng,  Xinmai Yang, Mingxi Wan,* , and Daocheng Wu*  Laser-Activated Bioprobes with High Photothermal Conversion Efficiency for Sensitive Photoacoustic/Ultrasound Imaging and Photothermal Sensing. ACS Appl. Mater. Inter 2018, 10:29251-29259.
[6]Zhu, H., Gan, Z., Li, D., Qin, J., Zhang, H., Wan, M., & Wu, D. (2019). Sensitive detection of dopamine with ultrasound cavitation-enhanced fluorescence method. Microchemical Journal, 150, 104199.

 

International Conference
Yang Li, Wenbin Li, Ayache.bouakaz, Mingxi Wan and Hongmei Zhang , Imaging of the Viscoelasticity and Fluidity of the Carotid Plaque by Fractional-Derivative KelvinVoigt Modeling,International Ultrasound Symposium, 2022.(Oral Presentation)

Dan Xiao , Kaixuan Hu, Hongmei Zhang* , Efficient Unet with compound loss function for breast ultrasound lesions segmentation, International Ultrasound Symposium, 2022.( Oral Presentation)

Yan Zhou, Kai Wang, Kehao Zhang, Mingxi Wan, Mostafa Fatemi, Michael F. Insana, Hongmei Zhang*, Deep Reinforcement Learning of Kelvin-Voigt Fractional Derivative parameters for viscoelastic imaging,International Ultrasound Symposium, 2022.(Poster)