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張麒 博士，教授 |
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辦公室： |
上海大學(xué)寶山校區(qū)（東區(qū)）翔英樓803室 |
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通信地址(郵政編碼): |
上海市上大路99號83信箱（200444） |
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電話： |
021-66137256 |
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電子郵件： |
zhangq@shu.edu.cn ; zhangq@t.shu.edu.cn |
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個人主頁： |
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張麒，上海大學(xué)教授、博士生導(dǎo)師，9999js金沙老品牌電子信息工程系副主任，上海市高層次人才。獲復(fù)旦大學(xué)電子工程系學(xué)士、博士學(xué)位，曾公派至美國杜克大學(xué)、英國愛丁堡大學(xué)進(jìn)行訪問研究。研究方向為醫(yī)學(xué)圖像分析、計算機(jī)視覺與智能診療技術(shù)。發(fā)表SCI論文60多篇，含2篇ESI高被引論文；主持國家自然科學(xué)基金4項，包括國際合作與交流項目、面上項目、青年項目，并主持來源于復(fù)旦大學(xué)附屬華山醫(yī)院、中山醫(yī)院、司法鑒定科學(xué)研究院、百度等知名醫(yī)院與企事業(yè)單位的橫向項目，依托醫(yī)學(xué)大數(shù)據(jù)研發(fā)智能診療系統(tǒng)解決臨床問題。任上海市醫(yī)療圖像與醫(yī)學(xué)知識圖譜人工智能重點實驗室學(xué)術(shù)委員會委員、中國生物醫(yī)學(xué)工程學(xué)會青年委員會委員、上海市醫(yī)學(xué)會超聲醫(yī)學(xué)分會人工智能學(xué)組副組長，獲湖北省科技進(jìn)步獎二等獎。 教育背景：
工作經(jīng)歷：
發(fā)表論文： 研究興趣：醫(yī)學(xué)信號與圖像處理、計算機(jī)視覺、智能醫(yī)療、計算機(jī)輔助診斷與療效評估 代表性論文詳見后文英文介紹“Selected Publications” 主持項目： 主持國家自然科學(xué)基金面上項目，依托跨領(lǐng)域跨組織器官遷移學(xué)習(xí)的跟腱損傷超聲診斷與預(yù)后預(yù)測 主持國家自然科學(xué)基金國際合作與交流項目，腦疾病研究中人腦突觸圖像分析的深度學(xué)習(xí)技術(shù) 主持國家自然科學(xué)基金面上項目，融合頸部淋巴結(jié)血流、彈性與結(jié)構(gòu)信息的多模態(tài)超聲診斷與療效評估 主持國家自然科學(xué)基金青年項目，斑塊血流灌注時空異質(zhì)性的高造影組織比超聲造影成像 主持中國計算機(jī)學(xué)會(CCF)-百度松果基金，Paddle Ultrasound —— 面向醫(yī)學(xué)超聲影像的乳腺癌智能診斷系統(tǒng) 主持上海市自然科學(xué)基金，基于聲輻射力脈沖成像與計算機(jī)圖像分析的斑塊易損性評價 主持上海市教委上海高校青年教師培養(yǎng)資助計劃項目，動脈粥樣硬化斑塊的超聲造影圖像分割 主持復(fù)旦大學(xué)附屬華山醫(yī)院橫向項目，基于超聲影像組學(xué)與深度學(xué)習(xí)的數(shù)據(jù)分析與處理 主持同濟(jì)大學(xué)附屬東方醫(yī)院橫向項目，基于U-Net與逐點門控深度網(wǎng)絡(luò)的左心室肥厚智能診斷 學(xué)術(shù)任職： 學(xué)術(shù)委員：上海市醫(yī)療圖像與醫(yī)學(xué)知識圖譜人工智能重點實驗室學(xué)術(shù)委員會委員，中國生物醫(yī)學(xué)工程學(xué)會青年委員會委員，中國儀器儀表學(xué)會青年委員會委員，上海市醫(yī)學(xué)會超聲醫(yī)學(xué)專委會人工智能學(xué)組副組長 獲獎與榮譽(yù)：
Professional Experience：
Education：
Research Interests： Selected Publications： 1.
Changyan
Wang, Haobo Chen, Xin Zhou, Meng Wang, Qi
Zhang*. SAM-IE: SAM-based image enhancement for facilitating medical
image diagnosis with segmentation foundation model. Expert Systems with
Applications, 2024, 249, 123795(1-11). 2.
Yifei
Yan#; Rongzong Liu#; Haobo Chen; Limin Zhang*; Qi Zhang*. CCT-Unet: A U-Shaped Network Based on
Convolution Coupled Transformer for Segmentation of Peripheral and Transition
Zones in Prostate MRI. IEEE Journal of Biomedical and Health Informatics,
2023, 27(9), 4341 – 4351. 3.
Zhou
Xu#, Fei Yu#, Bo Zhang*, Qi Zhang*.
Intelligent diagnosis of left ventricular hypertrophy using transthoracic
echocardiography videos. Computer Methods and Programs in Biomedicine, 2022,
226, 107182(1-11). 4.
Zhou
Xu#, Yuqun Wang#, Man Chen*, Qi
Zhang*. Multi-region radiomics for artificially intelligent diagnosis
of breast cancer using multimodal ultrasound. Computers in Biology and
Medicine, 2022, 149, 105920(1-8). 5.
Zhou
Xu#, Fei Yu#, Bo Zhang*, Qi Zhang*.
Intelligent diagnosis of left ventricular hypertrophy using transthoracic
echocardiography videos. Computer Methods and Programs in Biomedicine, 2022,
226, 107182(1-11). 6.
Jieyi
Liu, Changchun Li, Liping Liu, Haobo Chen, Hong Han, Bo Zhang*, Qi Zhang*. Speckle noise
reduction for medical ultrasound images based on cycle-consistent generative
adversarial network. Biomedical Signal Processing and Control, 2023, 86,
105150(1-10) 7.
Yuqun
Wang#, Zhou Xu#, Lei Tang, Qi
Zhang*, Man Chen*. The Clinical Application of Artificial
Intelligence Assisted Contrast Enhanced Ultrasound on BI-RADS Category 4
Breast Lesions. Academic Radiology, 2023, 30 (S2), S104-S113. 8.
Changchun
Li#, Yan Liu#, Rui Dong, Tianjie Zhang Ye Song*, Qi Zhang*. Deep learning radiomics on shear wave
elastography and b-mode ultrasound videos of diaphragm for weaning outcome
prediction. Medical Engineering and Physics, 2024, 123, 104090(1-8). 9.
Fengjun
Liu#, Qi Zhang#, Chao
Huang#, Chunzi Shi#, Lin Wang#, Nannan Shi, et al. CT quantification of
pneumonia lesions in early days predicts progression to severe illness in a
cohort of COVID-19 patients. Theranostics, 2020; 10(12): 5613-5622. ((#Equal
contribution; ESI Highly Cited) 10.
Qiuyue Liao#, Qi Zhang#,
Xue Feng#, Haibo Huang#, Haohao Xu#, Baoyuan
Tian, Jihao Liu, Qihui Yu, Na Guo, Qun Liu, Bo Huang, Ding Ma, Jihui Ai*,
Shugong Xu*, Kezhen Li*. Development of deep learning algorithms
for predicting blastocyst formation and quality by time-lapse monitoring.
Communications Biology, 2021, 4:415(1-9). 11.
Haobo
Chen, Haohao Xu, Peng Shi, Yuchen Gong, Zhen Qiu, Lei Shi*, Qi Zhang*. 3-D Gabor-based
anisotropic diffusion for speckle noise suppression in dynamic ultrasound
images. Physical and Engineering Sciences in Medicine, 2021, 44: 207–219. 12.
Nannan
Shi, Fengxiang Song, Fengjun Liu, Pengrui Song, Yang Lu, Qinguo Hou, Xinyan
Hua, Yun Ling, Jiulong Zhang, Chao Huang, Lei Shi, Zhiyong Zhang, Fei Shan, Qi Zhang*, Yuxin Shi*.
Preliminary investigation of relationship between clinical indicators and CT
manifestation patterns of COVID-19 pneumonia improvement. Journal of Thoracic
Disease, 2020, 12(10):5896-5905.
13.
Qi Zhang*, Shuang Song, Yang Xiao*, et al.
Dual-mode artificially-intelligent diagnosis of breast tumours in shear-wave
elastography and B-mode ultrasound using deep polynomial networks. Medical
Engineering & Physics, 2019, 64, 1-6. 14.
Haohao
Xu, Yuchen Gong, Xinyi Xia, Dong Li, Zhuangzhi Yan, Jun Shi, and Qi Zhang*. Gabor-based
anisotropic diffusion with lattice Boltzmann method for medical ultrasound
despeckling. Mathematical Biosciences and Engineering, 2019, 16, 7546–7561. 15.
Qi Zhang*, Shuang Song, Yang Xiao*, Shuai Chen,
Jun Shi, Hairong Zheng. Dual-mode artificially-intelligent diagnosis of
breast tumours in shear-wave elastography and B-mode ultrasound using deep
polynomial networks. Medical Engineering & Physics,
2019,
64, 1-6. 16. Qi
Zhang*, Jingyu Xiong, Yehua Cai, Jun Shi,
Shugong Xu, Bo Zhang*. Multimodal feature learning and fusion on B-mode
ultrasonography and sonoelastography using point-wise gated deep networks for
prostate cancer diagnosis. Biomedical Engineering-Biomedizinische Technik,
2020, 65(1): 87–98. 17. Jun Shi, Zeyu Xue, Yakang Dai, Bo Peng,
Yun Dong, Qi Zhang,
Yingchun Zhang. Cascaded multi-column RVFL+ classifier for single-modal
neuroimaging-based diagnosis of Parkinson’s disease. IEEE Transactions on Biomedical Engineering, 2019,
66, 2362 – 2371. 18. Jun Shi, Zheng Li, Shihui Ying,
Chaofeng Wang, Qi Zhang,
Pingkun Yan. MR image super-resolution via wide residual networks with fixed
skip connection. IEEE Journal of Biomedical and Health Informatics.
2019, 23, 1129 - 1140. 19. Jun Shi, Xiao Zheng, Jinjie Wu, Yan Li,
Qi Zhang, Shihui Ying.
Quaternion Grassmann average network for learning representation of
histopathological image. Pattern Recognition. 2019, 89: 67-76. 20. Yechen Zhu, Yangchuan Liu, Qi Zhang, Cishen Zhang∗,
and Xin Gao∗.
A fast iteration approach to undersampled cone-beam CT reconstruction.
Journal of X-Ray Science and Technology, 2019, 27(1), 111-129. 21. Jun Shi, Xiao Zheng, Yan Li, Qi Zhang, Shihui Ying.
Multimodal neuroimaging feature learning with multimodal stacked deep
polynomial networks for diagnosis of Alzheimer's disease. IEEE Journal of
Biomedical and Health Informatics. 2018, 22(1): 173-183. 22. Bangming Gong, Jun Shi*, Shihui
Ying, Yakang Dai, Qi Zhang,
Yun Dong, Hedi An, Yingchun Zhang. Neuroimaging-based diagnosis of Parkinson’s disease with deep neural mapping large margin distribution
machine. Neurocomputing. 2018, 320: 141-149. 23. Jun Shi, Qingping Liu, Chaofeng Wang, Qi Zhang, Shihui Ying, Haoyu
Xu. Super-resolution reconstruction of MR image with a novel residual
learning network Algorithm. Physics in Medicine & Biology. 2018,
63(8):085011. 24. Qi
Zhang*, Jingfeng Suo, Wanying Chang, Jun
Shi, Man Chen*. Dual-modal computer-assisted evaluation of axillary lymph
node metastasis in breast cancer patients on both real-time elastography and
B-mode ultrasound. European Journal of Radiology, 2017, 95, 66–74. 25.
Qi Zhang*, Yang Xiao, Jingfeng Suo, Jun Shi,
Jinhua Yu, Yi Guo, Yuanyuan Wang, Hairong Zheng. Sonoelastomics for Breast
Tumor Classification: A Radiomics Approach with Clustering-Based Feature
Selection on Sonoelastography. Ultrasound in Medicine and Biology. 2017,
43(5), 1058-1069. 26.
Qi Zhang, Yehua Cai, Yinghui Hua, Jun Shi,
Yuanyuan Wang, Yi Wang. Sonoelastography shows that Achilles tendons with
insertional tendinopathy are harder than asymptomatic tendons. Knee Surgery,
Sports Traumatology, Arthroscopy. 2017, 25, 1839–1848. 27. Qi
Zhang*, Congcong
Yuan, Wei Dai, Lei Tang, Jun Shi, Zuoyong Li, Man Chen*. Evaluating
pathologic response of breast cancer to neoadjuvant chemotherapy with
computer-extracted features from contrast-enhanced ultrasound videos. Physica
Medica, 2017, 39, 156–163. 28.
Qi Zhang*,
Jing Yao, Yehua Cai, Limin
Zhang, Yishuo Wu, Jingyu Xiong,
Jun Shi, Yuanyuan
Wang, Yi Wang. Elevated hardness of peripheral gland
on real-time elastography is an independent marker for high-risk prostate
cancers. Radiologia Medica, 2017, 122(12):944-951. 29.
Huaipeng
Dong, Qi Zhang*, Jun Shi. Intensity
Inhomogeneity Compensation and Tissue Segmentation for Magnetic Resonance
Imaging with Noise-Suppressed Multiplicative Intrinsic Component Optimization.
Optical Engineering, 2017, 56(12), 123103(1-12). 30.
Jun
Shi, Jinjie Wu, Yan Li, Qi Zhang,
Shihui Ying*. Histopathological Image Classification with Color Pattern
Random Binary Hashing Based PCANet and Matrix-Form Classifier. IEEE Journal of Biomedical and Health
Informatics. 2017, 21 (5): 1327-1337. 31.
Zeju
Li, Yuanyuan Wang, Jinhua Yu, Yi Guo, Qi
Zhang. Age groups related glioblastoma study based on radiomics
approach. Computer Assisted Surgery, 2017, 22, S1, 18-25. 32.
Junjie
Zhang, Jie Yin, Qi Zhang,
Jun Shi*, Yan Li. Robust sound event classification with bilinear
multi-column ELM-AE and two-stage ensemble learning. EURASIP Journal on
Audio, Speech, and Music Processing. 2017, 11. 33.
Qi Zhang, Yang Xiao, Wei Dai, Jingfeng Suo,
Congzhi Wang, Jun Shi, Hairong Zheng. Deep learning based classification of
breast tumors with shear-wave elastography. Ultrasonics, 2016, 72, 150-157. 34.
Jun
Shi, Shichong Zhou, Xiao Liu, Qi
Zhang, Minhua Lu, Tianfu Wang. Stacked deep polynomial network based
representation learning for tumor classification with small ultrasound image
dataset. Neurocomputing, 2016, 194, 87–94. 35.
Qi Zhang, Chaolun Li, Hong Han, Wei Dai, Jun
Shi, Yuanyuan Wang, Wenping Wang:
Spatio-temporal quantification of carotid plaque neovascularization on
contrast enhanced ultrasound: Correlation with visual grading and histopathology.
European Journal of Vascular and Endovascular Surgery, 2015, 50, 289-296. Professional Societies： Shanghai Key Laboratory of Artificial
Intelligence for Medical Image and Knowledge Graph (Academic Committee) Chinese Association for Biomedical
Engineering (Youth Committee) Chinese Association for Scientific
Instrument (Youth Committee) Shanghai Society of Biomedical
Engineers (Ultrasonic Medical Engineering Committee) Chinese Association for Ultrasonic
Medical Engineering (member) Chinese Society of Biomedical Engineers
(member) |
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