Professor Shen Dinggang Elected as ISMRM Fellow

ON2024-05-11TAG: ShanghaiTech UniversityCATEGORY: Global

On May 6, the International Society for Magnetic Resonance in Medicine (ISMRM) officially announced its list of ISMRM Fellows for 2024, with Professor Shen Dinggang, Founding Dean of the School of Biomedical Engineering at ShanghaiTech University, among those honored. Prior to this recognition, Professor Shen had been elected as a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the American Institute for Medical and Biological Engineering (AIMBE), the International Association for Pattern Recognition (IAPR), and the Medical Image Computing and Computer-Assisted Intervention Society (MICCAI Society).

The ISMRM is an international, nonprofit, scientific association whose purpose is to promote communication, research, development, and applications in the field of magnetic resonance in medicine and biology and other related topics and to develop and provide channels and facilities for continuing education in the field. Its multidisciplinary membership of over 8,000 consists of clinicians, physicists, engineers, biochemists, and technologists.

There was an official evaluation released by ISMRM regarding Professor Shen’s fellowship: “For his outstanding research contributions in AI-based medical image analysis, computer vision, and pattern recognition.” This brief evaluation reflects that the significant achievements Professor Shen made in the realm of medical imaging artificial intelligence over the years, have been highly recognized by the industry.

Before joining ShanghaiTech University, Professor Shen worked at the University of North Carolina at Chapel Hill for a long time and was a tenured professor in the Department of Radiology, Medical Imaging Center, Department of Computer Science, and Department of Biomedical Engineering. He was elected as a fellow of IEEE, AIMBE, IAPR, MICCA, and ISMRM and published over 1700 papers, with an H-index of 141 and over 86,000 citations. Additionally, he served as the Editor-in-Chief of Frontiers in Radiology and holds editorial positions on eight international journals. He also chaired the 2019 International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).

Professor Shen has long been engaged in research on the application of machine learning and artificial intelligence in medical diagnosis, including early brain development and autism diagnosis, early diagnosis and prediction of Alzheimer’s disease, as well as diagnosis, prognosis, and radiotherapy of brain tumors. He stands as one of the earliest scientists to delve into research on medical imaging artificial intelligence, pioneering the application of deep learning in the analysis of brain development and brain diseases.