Dr. Guang Yang (B.Eng, M.Sc., Ph.D., IEEE Senior Member, SPIE Life Member) obtained his M.Sc. in Vision Imaging and Virtual Environments from the Department of Computer Science in 2006 and his Ph.D. on medical image analysis jointly from the CMIC, Department of Computer Science and Medical Physics in 2012 both from University College London.
He is currently a UKRI Future Leaders Fellow and Senior MRI Processing Physicist working at National Heart and Lung Institute, Imperial College London and also affiliates with Cardiovascular Research Centre, Royal Brompton Hospital. He is also an Honorary Senior Lecturer with the School of Biomedical Engineering & Imaging Sciences, King's College London. He is a primary supervisor at the UKRI Centre for Doctoral Training in AI for Healthcare: AI4Health, KCL-Imperial EPSRC CDT in Smart Medical Imaging, and Imperial MRes Artificial Intelligence and Machine Learning programme.
He has worked for Siemens Medical Solutions and Medicsight PLC before and obtained comprehensive industrial experiences. He has two international patents in the fields of medical image processing. His research collaborators are from Cambridge University, Oxford University, St. George’s, University of London, University of Lincoln, City University London, and University College London in the UK, NIH and UCLA in the USA, Fudan University, Shanghai Jiao Tong University, Capital Medical University and Sun Yat-sen University in China.
During his research career, he has over 157 publications including 72 Journal Articles (1 Nature Biomedical Engineering, 1 Nature Machine Intelligence, 1 Proceedings of the IEEE, 17 IEEE Trans, 2 MedIA, 2 Information Fusion, 1 Radiology, etc. 2 of them are Highly Cited Papers by the Web of Science, 1 of them is the Most Popular Articles 2020 of the IEEE TMI), 45 Peer-Reviewed Conference Articles, 2 International Patents, 2 Books, 3 Book Chapters with an H-index of 28 and Overall Impact Factors of 447.65 (by Dec 2021).
He is currently a UKRI Future Leaders Fellow and Senior MRI Processing Physicist working at National Heart and Lung Institute, Imperial College London and also affiliates with Cardiovascular Research Centre, Royal Brompton Hospital. He is also an Honorary Senior Lecturer with the School of Biomedical Engineering & Imaging Sciences, King's College London. He is a primary supervisor at the UKRI Centre for Doctoral Training in AI for Healthcare: AI4Health, KCL-Imperial EPSRC CDT in Smart Medical Imaging, and Imperial MRes Artificial Intelligence and Machine Learning programme.
He has worked for Siemens Medical Solutions and Medicsight PLC before and obtained comprehensive industrial experiences. He has two international patents in the fields of medical image processing. His research collaborators are from Cambridge University, Oxford University, St. George’s, University of London, University of Lincoln, City University London, and University College London in the UK, NIH and UCLA in the USA, Fudan University, Shanghai Jiao Tong University, Capital Medical University and Sun Yat-sen University in China.
During his research career, he has over 157 publications including 72 Journal Articles (1 Nature Biomedical Engineering, 1 Nature Machine Intelligence, 1 Proceedings of the IEEE, 17 IEEE Trans, 2 MedIA, 2 Information Fusion, 1 Radiology, etc. 2 of them are Highly Cited Papers by the Web of Science, 1 of them is the Most Popular Articles 2020 of the IEEE TMI), 45 Peer-Reviewed Conference Articles, 2 International Patents, 2 Books, 3 Book Chapters with an H-index of 28 and Overall Impact Factors of 447.65 (by Dec 2021).
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