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  錢曉華

  長聘（Tenured）副教授、博士生導師。曾為美國德克薩斯大學生物醫學信息意昂4助理教授。吉林大學電子工程和美國杜克大學醫學物理專業聯合培養博士，並在美國維克森林大學醫意昂4接受博士後訓練。現任上海市生物醫學工程學會生物醫學信息專委會秘書長。目前主持國自然面上（2021，2023）、上海市面上、省級重點研發/科技轉化課題、企業橫向以及醫工交叉等課題👶，作為骨幹參與張江重大項目和上海交大重大項目STAR計劃等🩱。

  
  

  實驗室（Medical Image and Health Informatics Lab，MIHI)主頁：

  https://mihi.sjtu.edu.cn/

1. 主要研究興趣：

    醫學圖像處理與分析🏞🧑🏽‍🏫，人工智能算法研究👨‍🍳，包括圖像（視頻）的細粒度分類與預測🌐，醫學圖像的檢測與分割，以及健康大數據挖掘與分析🚽；主要解決的技術挑戰：小樣本和細粒度分析⚫️，模型的穩定性與泛化性。

    當前主要研究🧑🏼‍⚕️：構建因果推理模型，和醫療基礎（大）模型來解決醫療AI領域的核心挑戰🚦🧒🏼；並在此基礎上，推動醫療AI系統的真正臨床應用與落地，服務大眾👣。

2. 主要研究課題：

    1）胰腺癌臨床診斷與治療全過程的影像智能算法體系研究，包括胰腺癌篩查與早期診斷🤛，胰腺癌檢測與分割，胰腺癌淋巴轉移/良惡性的分析和預測，以及胰腺癌手術可切除性分析等☀️。

2）運動功能視頻評估的核心算法體系研究（例如，帕金森病運動遲緩、震顫、僵直🤷🏻、站立平衡和步態等）🤴🏽，實現“運動障礙”與“姿勢異常”的自動檢測與分析👨🏽‍🦰，以及在臨床診斷與評估、遠程醫療和居家管理等方面的應用，並拓展到腦癱、斜頸、中風、認知障礙等疾病的視頻自動評估。此外🔥，還開展運動與認知💳🚷、運動與康復的評估與幹預研究。

歡迎相關課題合作（郵件聯系）！

近三年代表作（主要（大）通訊作者）🪨：

(Source codes are available at https://github.com/SJTUBME-QianLab)

1. J. Qu^#, X. Xiao^#, X. Wei*, X. Qian*. A Causality-Inspired Generalized Model for Automated Pancreatic Cancer Diagnosis. Medical Image Analysis, 03, 2024.

2.  X. Tang, R. Guo, C. Zhang, X. Qian*. A Causal Counterfactual Graph Neural Network for Arising-from-Chair Abnormality Detection in Parkinsonians. Medical Image Analysis, 07, 2024.

3. X. Chen^#, W.Wang^#, Y. Jiang^#, X. Qian*. A Dual-transformation with Contrastive Learning Framework for Lymph Node Metastasis Prediction in Pancreatic Cancer. Medical Image Analysis, 85: 102753, 2023.

4. J. Qu, X.Wei*, X. Qian*. Generalized Pancreatic Cancer Diagnosis via Multiple Instance Learning and Anatomically-Guided Shape Normalization. Medical Image Analysis, 86: 102774, 2023.

5.  R. Guo, H. Li, C. Zhang, X. Qian*. A Tree-Structure-Guided Graph Convolutional Network with Contrastive Learning for the Assessment of Parkinsonian Hand Movements. Medical Image Analysis, 81: 102560, 2022.

6. J. Li^#, L. Qi^#, Q. Chen, Y. Zhang, X. Qian*. A Dual Meta-Learning Framework based on Idle Data for Enhancing Segmentation of Pancreatic Cancer. Medical Image Analysis, 78: 102342, 2022.

7. W. Fu^#, H. Hu^#, X. Li, R. Guo, T. Chen, X. Qian*, A Generalizable Causal-Invariance-Driven Segmentation Model for Peripancreatic Vessels. IEEE Transactions on Medical Imaging, 05, 2024.

8. X. Li^#, R. Guo^#, J. Lu^#, T. Chen, X. Qian*. Causality-Driven Graph Neural Network for Early Diagnosis of Pancreatic Cancer in Non-Contrast Computerized Tomography. IEEE Transactions on Medical Imaging, 42(6): 1656-1667, 2023.

9. X. Song^#, J. Li^#, X. Qian*. Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks. IEEE Transactions on Medical Imaging, 42(2): 380-390, 2023.

10. X. Tang, R. Guo, C. Zhang, X. Zhuang*, X. Qian*. A Causality-driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians. IEEE Transactions on Medical Imaging, 08, 2023.

11. X. Tang^#, C. Zhang^#, R. Guo, X. Yang*, X. Qian*. A Causality-Aware Graph Convolutional Network Framework for Rigidity Assessment in Parkinsonians. IEEE Transactions on Medical Imaging, 07, 2023.

12. X. Chen, Z. Chen, J. Li, Y. Zhang, X. Lin, X. Qian*. Model-driven deep learning method for pancreatic cancer segmentation based on spiral-transformation. IEEE Transactions on Medical Imaging, 41(1): 75-87, 2022.

13. X. Chen, X. Lin, Q. Shen, X. Qian*. Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer. IEEE Transactions on Medical Imaging, 40(2): 735-747, 2021.

14. R. Guo^#, Z. Xie^#, C. Zhang, X. Qian*. Causality-Enhanced Multiple Instance Learning with Graph Convolutional Networks for Parkinsonian Freezing-of-Gait Assessment. IEEE Transactions on Image Processing, 06, 2024.

15. R. Guo, X. Shao, C. Zhang, X. Qian*. Multi-scale Sparse Graph Convolutional Network for the Assessment of Parkinsonian Gait. IEEE Transactions on Multimedia, 24: 1583-1594, 2022.

16. R. Guo, L. Wang, C. Zhang, L. Gu, D. Li*, X. Qian*. A Causality-Informed Graph Convolutional Network for Video Assessment of Parkinsonian Leg Agility. IEEE Transactions on Circuits and Systems for Video Technology, 06, 2024.

17. Z. Xie^#, R. Guo^#, C. Zhang, X. Qian*. A Clinically Guided Graph Convolutional Network for Assessment of Parkinsonian Pronation-Supination Movements of Hands. IEEE Transactions on Circuits and Systems for Video Technology, 09, 2023.

18. R. Guo, J. Sun, C. Zhang, X. Qian*. A Contrastive Graph Convolutional Network for Toe-Tapping Assessment in Parkinson’s Disease. IEEE Transactions on Circuits and Systems for Video Technology, 32(12): 8864-8874, 2022.

19. R. Guo^#, J. Sun^#, C. Zhang, X. Qian*. A Self-Supervised Metric Learning Framework for the Arising-from-Chair Assessment of Parkinsonians with Graph Convolutional Networks. IEEE Transactions on Circuits and Systems for Video Technology, 32(9): 6461-6471, 2022.

20. Xinyue Li^#, Rui Guo^#, Hongzhang Zhu^#, Tao Chen, X. Qian*. A Causality-Informed Graph Intervention Model for Pancreatic Cancer Early Diagnosis. IEEE Transactions on Artificial Intelligence, 04, 2024.

21. R. Guo, X. Shao, C. Zhang, X. Qian*. Sparse Adaptive Graph Convolutional Network for Leg Agility Assessment in Parkinson’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(12): 2837-2848, 2020.

22. J. Li^#, T. Chen^#, X. Qian*. Generalizable Pancreas Segmentation Modeling in CT Imaging via Meta-learning and Latent-space Feature Flow Generation. IEEE Journal of Biomedical and Health Informatics, 27(1): 374-385, 2023.

23. J. Li^#, H. Zhu^#, T. Chen*, X. Qian*. Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework. IEEE Journal of Biomedical and Health Informatics, 27(10): 4780-4791, 2023. (封面文章)

24. J. Li, C. Feng, X.Lin, X. Qian*. Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation. IEEE Journal of Biomedical and Health Informatics, 26(1): 79-89, 2022.

25. X. Song^#, M. Mao^#, X. Qian*. Auto-Metric Graph Neural Network Based on a Meta-learning Strategy for the Diagnosis of Alzheimer's disease. IEEE Journal of Biomedical and Health Informatics, 25(8): 3141-3152, 2021.

26. G. Xu, J. Reboud, Y. Guo, H. Yang, H. Gu, C. Fan*, X. Qian*, Jonathan M Cooper*. Programmable design of isothermal nucleic acid diagnostic assays through abstraction-based models. Nature communications, 13(1): 1-9, 2022. (共同通訊)

數據結構（工科平臺，大一）

生物醫學工程中的數據挖掘 （研究生課程）

1. 錢曉華; 李鈞; 多模態醫學圖像分割方法☞、系統、存儲介質及電子設備2020-02-24, 中國, CN2020101124914

2. 錢曉華; 陳夏晗; 基於多模態的深度學習預測方法🧑🏽‍⚖️、系統、介質及設備2020-02-18, 中國, CN2020100986849

3. 錢曉華; 陳夏晗; 深度學習中螺旋變換數據擴增方法🚴🏻‍♂️、系統、介質及設備2020-02-18, 中國, CN202010098682X 

4. 指導學生獲2022年第七屆意昂4平台研究生“學術之星”提名獎（全校Top 20）

5. 指導學生獲2023年意昂4平台研究生“創新之星”

6. 指導學生獲2024屆上海市優秀畢業生

7. 指導博士、碩士研究生在2021、2022🧑🏿‍🎤、2023年先後6人次獲研究生國家獎學金（占意昂4推薦名額20%）

10. 指導學生獲2022年/2023年上海市女大學生創新創業大賽一等獎/二等獎

11. 課題獲2022年第一屆醫學人工智能創新創業大賽最具創新獎

12. 課題獲2023年第二屆醫學人工智能創新創業大賽科研組價值項目（一等獎）

指導研究生畢業去向

1. 首屆畢業博士生，2023年11月入職 西南交通大學，任助理教授

2. 首位出站博士後，2024年2月入職 杭州電子科技大學，任講師