Research

黃 秋 Qiu (Jo) Huang

 Biography

Qiu (Jo) Huang received her Ph.D. degree in Electrical Engineering from the University of Utah and postdoctoral training at the Lawrence Berkeley National Laboratory. Since July 2009, she has been with the School of Biomedical Engineering, Shanghai Jiao Tong University as an Associate Research Professor. She is also an Adjunct “Guangci” professor at the Department of Nuclear Medicine, Ruijin Hospital. She is now a visiting Associate Professor at Macao Polytechnic University. Dr. Huang has been the principal investigator in research projects funded by the Ministry of Science and Technology and National Natural Science Foundation of China. She has co-authored more than 100 scientific papers and 30 patents. Her research interests involve (1) medicine imaging instrumentation design, for instance, X-ray and gamma-ray imaging systems with high performance; (2) imaging algorithm design, such as the image reconstruction algorithms in nuclear medicine imaging, and kinetic modeling in dynamic PET and SPECT for early diagnosis of diseases; (3) image processing and analysis, for example deep learning methods in image segmentation and radiomics analysis to solve clinical problems.

 Education and Experiences

Academic qualifications
2001 - 2006: Doctor of Philosophy (Ph.D.), Department of Electrical and Computer Engineering, University of Utah, USA
1997 - 2000: MS in Electrical Engineering, School of Electrical and Information Engineering, JiangSu University, Zhenjiang, China
1993 - 1997: BS in Electrical Engineering, School of Electrical and Information Engineering, JiangSu University, Zhenjiang, China

Working experiences
2025 - Present: Visiting Associate Professor, Faculty of Applied Science, Macao Polytechnic University
2009 - 2025：Associate Research Professor, School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China
2019 – 2025: Adjunct “Guangci” professor at the Department of Nuclear Medicine, Ruijin Hospital, Shanghai, China
2007 - 2009: Postdoctoral Fellow, Department of Medical Imaging Technology, Life Science Division, Lawrence Berkeley National Laboratory, Berkeley,

USA
2004 – 2006: Research Assistant, Utah Center for Advanced Imaging Research, USA
2000 – 2001: Software Engineer, Unisplendour Corporation Limited, Beijing, China
1998 - 2000: Research Assistant, Baosteel Group Limited, Shanghai, China

 

 Research Interests

• Medical imaging algorithm design
• Artificial intelligence-assisted diagnosis
• Development of medical imaging systems

 Selected Publications

1. 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.
    
2. 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.
    
3. 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.
    
4. 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.
    
5. 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.