黃 秋 Qiu (Jo) Huang
個人簡介
黃秋，博士。取得美國猶他大學電子與計算機工程系博士學位，並在勞倫斯伯克利國家實驗室接受博士後培訓。2009年7月起在上海交通大學生物醫學工程學院擔任副研究員，在瑞金醫院核子醫學科擔任「廣慈」引智教授。於2025年在澳門理工大學應用科學學院擔任客座副教授。她擔任科技部和國家自然科學基金計劃的專案負責人，合著了 100餘篇科學論文和30餘項專利。 她的研究興趣包括（1）醫學影像儀器設計，例如高效能的X光以及gamma光探測系統；（2）醫學影像算法設計，如核醫學影像中的重建演法、動態PET和SPECT中用於疾病早期診斷的動力學建模等；（3）影像處理和分析，例如影像分割和放射組學分析中的深度學習方法，以解決臨床問題，提高臨床診療的精確度。
學習工作經歷
學習經歷
2001 - 2006: 美國猶他大學 電子與計算機工程系博士
1997 - 2000: 江蘇大學 電氣學院自動化系碩士
1993 - 1997: 江蘇大學 電氣學院自動化系學士
工作經歷
2025 - ：澳門理工大學，客座副教授
2019 - 2025：上海交通大學醫學院附屬瑞金醫院"廣慈"引智教授
2009 - 2025：上海交通大學生物醫學工程學院/Med-X研究院副研究員
USA
2007 - 2009：美國勞倫斯伯克利國家實驗室，功能成像部，博士後研究員
2004 - 2006：美國猶他高級成像研究中心，科研助理
2000 - 2001：北京清華同方OA事業部，軟件研發工程師
1998 - 2000：上海寶山鋼鐵集團自動化研究所，科研助理
研究領域
- 醫學影像算法研究
- 人工智慧輔助診斷
- 醫學影像系統研製
研究成果
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Chen M, Wang S, Liang K, Chen X, Xu Z, Zhao C, Yuan W, Wan J*, Huang Q*. A Temporal Fusion and Attention-Based Network for Detecting Stenosis in X-Ray Coronary Angiography [J]. Computerized Medical Imaging and Graphics. 2025.
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Wang H, Qiao X, Ding W, Chen G, Miao Y, Guo R, Zhu X, Cheng Z, Xu J, Li B*, Huang Q*. Robust and Generalizable Artificial Intelligence for Multi-Organ Segmentation in Ultra-Low-Dose Total-Body PET Imaging: A Multi-Center and Cross-Tracer Study [J]. European Journal of Nuclear Medicine and Molecular Imaging. 2025.
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Zhao Z, Huang Q, Levin CS. Front-End Electronics Design For 3D Position Sensitive TOF-PET Detector That Achieves ~120 ps CTR and ~1.2 mm DOI Resolution [J]. IEEE Transactions on Radiation and Plasma Medical Sciences. 2025.
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Wang H, Wang Y, Xue Q, Zhang Y, Qiao X, Lin Z, Zheng J, Zhang Z, Yang Y, Zhang M, Huang Q, Huang Y, Cao T, Wang J*, Li B*. Optimizing MR-Based Attenuation Correction in Hybrid PET/MR Using Deep Learning: Validation with A Flatbed Insert and Consistent Patient Positioning [J]. European Journal of Nuclear Medicine and Molecular Imaging. 2025.
- Ding W, Wang H, Qiao X, Li B*, Huang Q*. A deep learning method for total-body dynamic PET imaging with dual-time-window protocols[J]. European Journal of Nuclear Medicine and Molecular Imaging. 2024
(6) Qiao X, Wang H, Meng H, Xi Y, Feng D, Li B, Yan X*, Zhang M*, Huang Q*. Multi-modality deep learning-based [68Ga] Ga-DOTA-FAPI-04 PET polar map generation: potential value in detecting reactive fibrosis after myocardial infarction [J]. European Journal of Nuclear Medicine and Molecular Imaging. 2024
(7) Zhang M, Meng H, Zhou Q, Chunyu H, He L, Meng H, Wang H, Wang Y, Sun C, Xi Y, Hai W, Huang Q, Li B, Chen S*. Microglial activation imaging using 18F-DPA-714 PET/MRI for detecting autoimmune encephalitis [J]. Radiology. 310, no. 3: e230397. 2024
(8) Lv L, Zeng GL, Chen G, Ding W, Weng F, Huang Q*. The effects of back-projection variants in BPF-like TOF PET reconstruction using CNN filtration - based on simulated and clinical brain data [J]. Medical Physics. 2024.
(9) Chen G, Liu S, Ding W, Lv L, Zhao C, Weng F, Long Y, Zan Y*, Huang Q*. A Total-Body Ultra-Low Dose PET Reconstruction Method via Image Space Shuffle U-Net and Body Sampling [J]. IEEE Transactions on Radiation and Plasma Medical Sciences. 2023.
(10) Ding W, Ding Q, Chen K, Zhang M, Lv L, Feng DD, Bi L, Kim J, Huang Q*. A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging [J]. IEEE Transactions on Medical Imaging. 2023.
(11) Du S, Yuan C, Zhou Q, Huang X, Meng H, Chen M, Wang H, Huang Q, Xiang S, Qian D, Li B. Deep learning-based PET/MR radiomics for the classification of annualized relapse rate in multiple sclerosis [J]. Multiple Sclerosis and Related Disorders. 2023;75:104750.
(12) Chen M, Chen Z, Xi Y, Qiao, X, Chen X, Huang Q*. Multimodal Fusion Network for Detecting Hyperplastic Parathyroid Glands in SPECT/CT Images [J]. IEEE Journal of Biomedical and Health Informatics. 2023;27(3):1524-1534.
(13) Tao W, Rohmer D, Gullberg GT, Seo Y, Huang Q*. An analytical algorithm for tensor tomography from projections acquired about three axes [J]. IEEE Transactions on Medical Imaging. 2022;41(11): 3454-3472.
(14) Qiao X, Jiang C, Li P, Yuan Y, Zeng Q, Bi L, Song S*, Kim J, Feng DD, Huang Q*. Improving breast tumor segmentation in PET via attentive transformation based normalization [J]. IEEE Journal of Biomedical and Health Informatics. 2022, 26(7):3261-71.
(15) Lv L, Zeng GL, Zan Y, Hong X, Guo M, Chen G, Tao W, Ding W, Huang Q*. A back-projection-and-filtering-like (BPF-like) reconstruction method with the deep learning filtration from listmode data in TOF-PET [J]. Medical Physics 2022, DOI: 10.1002/mp.15520.
(16) Ding W, Yu J, Zheng C, Fu P, Huang Q, Feng DD, Yang Z, Wahl RL*, Zhou Y*. Machine learning-based noninvasive quantification of single-imaging session dual-tracer 18F-FDG and 68Ga-DOTATATE dynamic PET-CT in oncology [J]. IEEE Transactions on Medical Imaging. 2021, DOI: 10.1109/TMI.2021.3112783.