Guoyan Zheng is a Full Professor at the School of Biomedical Engineering, and the Director of the Center for Image-guided Therapy and Interventions (CITI), Institute of Medical Robotics, Shanghai Jiao Tong University, China. His primary research interests are in the application of medical image computing (Artificial Intelligence, Computer Vision and Image Analysis) and computer assisted intervention to problems relevant to medical diagnosis and surgical interventions. He is particularly interested in methods for medical image registration, segmentation and reconstruction from sparse data, computer assisted lesion detection and disease diagnosis, as well as image-guided therapy and medical robotics. Recent achievements include the grant of a Key Program from the National Natural Science Foundation of China in 2020, the grant of a National Key R&D Program (Project) from the Ministry of Science and Technology of China in 2019 and the grant of a Key Program (Project) from the Science and Technology Commission of Shanghai Municipality in 2020.

Dr. Zheng holds a BSc and a MSc from the First Military Medical University (now renamed as Southern Medical University), and a PhD in Biomedical Engineering from the University of Bern, Switzerland. He also holds the title of Privatdocent (PD) from the same university. Before he joined Shanghai Jiao Tong University, he was an Associate Professor at the University of Bern and a Visiting Professor of Nara Institute of Science and Technology, Japan. He has published more than 220 peer-reviewed international conference and journal papers, granted 8 US and European Patents and won more than 10 international Prizes and Awards include the First Prize of the 2019 Global Innovation Design Competition of Medical Robotics, the Springer Best Paper Award (1st Place) in the 2018 International Conference on Image Analysis and Recognition (ICIAR 2018), the Best Paper Award in the MICCAI 2017 Workshop on Machine Learning in Medical Imaging (MLMI 2017), the 2012 Prize for the Best Basic Science Article of the Year from the Journal of Laryngology and Otology, and the 2009 Ypsomed Innovation Prize for Research and Develoment. He is a member of the Board of Directors of the International Society for Medical Image Computing and Computer Assisted Interventions (MICCAI) and served as a Program Committee Member or an Area Chair for 2013, 2015, 2016, 2017, 2019, and 2020 MICCAI conferences. He is an Associate Editor for IEEE Transactions on Biomedical Engineering, IEEE Journal of Biomedical and Health Informatics, and Computerized Medical Imaging and Graphics.

1988-1992 Bachelor – The First Military Medical University

1992-1995 Master - The First Military Medical University

1999-2002 PhD – the University of Bern, Switzerland

2019-, Full Professor, School of Biomedical Engineering, Shanghai Jiao Tong University

2015-2019, Associate Professor, Medical Faculty, University of Bern, Switzerland

2010-2015, Privatdozent (PD), Medical Faculty, University of Bern, Switzerland

2005-2010, Research Fellow, Medical Faculty, University of Bern, Switzerland

2003-2004, Post-doc, Medical Faculty, University of Bern, Switzerland

Medical image computing and computer assisted interventions

• The First Prize of the 2019 Global Innovation Design Competition of Medical Robotics, Shanghai, China (2019);
• The Best Technical Podium Presentation Award in the 18th CAOS Annual Meeting (CAOS 2018), Beijing, China (2018) ;
• The Best Paper Award in the MICCAI 2018 International Workshop & Challenge on Computational Methods and Clinical Applications for Spine Imaging, Granada, Spain (2018)
• The Springer Best Paper Award (1st Place) in the 15th International Conference on Image Analysis and Recognition (ICIAR 2018), Póvoa de Varzim, Portugal (2018) ;
• The Best Paper Award in the MICCAI 2017 Workshop on Machine Learning in Medical Imaging (MLMI 2017), Quebec City, Canada (2017) ;
• The Poster Award in the 28th International Conference on Computer Assisted Radiology and Surgery (CARS 2014), Fukuoka, Japan (2014) ;
• Prize for the Best Basic Science Article of the Year – 2011 published in the Journal of Laryngology and Otology (2012) ;
• Ypsomed Innovation Prize for Research and Development (2009) ;
• The Best Poster Award in the 69th Annual Meeting of Swiss Society for Orthopaedics and Traumatology (2009) ;
• The Best technical paper award in the 6th Annual Meeting of International Society of Computer Assisted Orthopaedic Surgery (CAOS 2006), Montreal, Canada (2006) ;
• The Best paper award in the Annual Meeting of Society of Skeletal Radiology (2005).

• Associate Editor, IEEE Transactions on Biomedical Engineering (2019 - )
• Associate Editor, IEEE Journal of Biomedical and Health Informatics (2019 - )
• Associate Editor, Computerized Medical Imaging and Graphics (2018 - )
• Member of Board of Directors, International Society of Medical Image Computing and Computer Assisted Interventions (2018 - )

• Advanced Medical Imaging and Smart Navigation, (Autumn)
• Advanced Intra-operative Imaging and Navigation, (Autumn)
• Program Design (C), (Augumn)

1. Zhang L, Shi Z, Cheng MM, Liu Y, Bian JW, Zhou JT, Zheng G, Zeng Z. Nonlinear Regression via Deep Negative Correlation Learning. IEEE Trans Pattern Analysis and Machine Intelligence (PAMI), in press, 2021.

2. Zhuang X, Li L, Payer C, et al. Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Analysis 2019 Dec;58:101537

3. Zeng G, Zheng G. Holistic decomposition convolution for effective semantic segmentation of medical volume images. Medical Image Analysis 2019 Oct;57:149-164

4. Arabi H, Zeng G, Zheng G, Zaidi H. Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI. European Journal of Nuclear Medicine and Molecular Imaging, 2019 Dec;46(13):2746-2759

5. Wang L, Nie D, et al. Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Transactions on Medical Imaging, 2019, 38(9): 2219-2230

6. Kuijf HJ, Biesbroek JM, et al. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging, 2019 Nov;38(11):2556-2568.

7. Maier-Hein L, Eisenmann M, et al., Why rankings of biomedical image analysis competitions should be interpreted with care. Nature Communications. Dec 6;9(1):5217. doi: 10.1038/s41467-018-07619-7

8. X Li, Q Dou, et al. 3D multi-scale FCN with random modality voxel dropout learning for intervertebral disc localization and segmentation from multi-modality MR images. Medical Image Analysis, 45:41-54, 2018

9. K. Karasawa, Oda M., et al. Multi-atlas pancreas segmentation: Atlas selection based on vessel structure. Medical Image Analysis, 39:18-28, 2017

10. W Yu, M Tannast, G Zheng. Non-rigid free-form 2D-3D registration using a B-spline-based statistical deformation model. Pattern Recognition.

11. G Zheng, C Chu, et al. Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: a grand challenge. Medical Image Analysis, 35:327-344, 2017.

1. G Zheng, X Dong and L-P Nolte (2018). Method and devices for patient-specific acetabular component alignment in total hip arthroplasty. US Patent No US9889023B2. Date of Patent: 13. Feb., 2018

2. G Zheng and S Schumann (2017). Image distortion correction and robust phantom detection. US Patent No.: US9743892B2. Data of Patent: 29 Aug., 2017

3. G Zheng, X Dong and L-P Nolte (2017). Method and devices for patient-specific acetabular component alignment in total hip arthroplasty. European Patent No. EP2442757. Date of Patent: 02. Feb., 2017

4. G. Zheng and X. Zhang (2013). Method and devices for computer assisted distal locking of intramedullary nails. US Patent No. US8444645B2. Date of Patent: May 21, 2013.

5. G. Zheng and X. Zhang (2012). Method and devices for computer assisted dital locking of intramedullary nails. US Patient No. US8118818B2. Date of Patent: Feb. 21, 2012.

6. T. Feilkas and G. Zheng (2011). Shape reconstruction using X-ray images. US Patent No. US8055046B2. Date of Patent: Nov. 8, 2011.

7. G. Zheng and X. Zhang. Method and device for computer assisted distal locking of intramedullary nails. European Patient No. EP1968468B1. Date of Patent: Dec. 29, 2010.

8. G. Zheng and L.-P. Nolte. Method for establishing a three-dimensional representation of a bone from image data. US Patent No. US7117027B2. Date of Patent: Oct. 3, 2006.