Lei Xing, PhD
875 Blake Wilbur Drive Room G233, Stanford, CA 94305-5847
Dr. Lei Xing is currently the Jacob Haimson Professor and Director of Medical Physics Division of Radiation Oncology Department at Stanford University School of Medicine. He also holds affiliate faculty positions in Department of Electrical engineering, Bio-X, and Molecular Imaging Program at Stanford (MIPS). He has been a member of the Radiation Oncology faculty at Stanford since 1997. Dr. Xing obtained his PhD in Physics from the Johns Hopkins University in 1992 and received his Medical Physics training at the University of Chicago. His research has been focused on artificial intelligence in medicine, treatment planning and dose optimization, medical imaging, imaging instrumentations, image-guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is an author on more than 400 peer-reviewed publications, a co-inventor on many issued and pending patents, and a co-investigator or principal investigator on numerous NIH, DOD, NSF, RSNA, AAPM, Komen, ACS, and corporate grants. He is a fellow of AAPM (American Association of Physicists in Medicine) and AIMBE (American Institute for Medical and Biological Engineering).
Artificial intelligence-driven by deep learning has attracted much attention in the past several years and is being increasingly adopted in medical physics for various applications since the first few abstracts appeared in the 2016 AAPM Annual Meeting. The enormous success of deep learning stems from its unique capabilities of extracting essential features from big data and then making inferences. However, the data-driven process has many potential flaws, such as the demand for a large amount of annotated data and lack of interpretability. The purpose of this talk is to summarize some important applications of AI in medical imaging, ranging and identify the pitfalls of current data-driven approaches. I will also summarize recent advances in interpretable AI and present strategies for enhancing the interpretability and trustworthiness of AI-augmented tools.
Lei Xing, Ph.D., DABR | Jacob Haimson Professor & Director of Medical Physics Division | Department of Radiation Oncology, Department of Electrical Engineering (Courtesy), Molecular Imaging Program at Stanford (MIPS) | Stanford University | 875 Blake Wilbur Drive Room G233 | Stanford, CA 94305-5847 | Ph: (650) 498-7896 | Email: email@example.com://xinglab.stanford.edu
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