Tonghe Wang Editor

Xiaofeng Yang is Paul W. Doetsch Professor and serves as Vice Chair for Medical Physics Research in the Department of Radiation Oncology at Emory University School of Medicine. Dr. Yang is also an adjunct faculty member in the Medical Physics department at Georgia Institute of Technology, as well as in the Biomedical Informatics department at Emory University, and the Wallace H. Coulter Department of Biomedical Engineering at Emory University and Georgia Institute of Technology. As a board-certified medical physicist, Dr. Yang specializes in image-guided radiotherapy, artificial intelligence, multimodality medical imaging, and medical image analysis. He is the leader of the Deep Biomedical Imaging Laboratory, where he and his team focus on developing cutting-edge AI-aided analytical and computational tools to enhance the role of quantitative imaging in cancer treatment and improve the accuracy and precision of radiation therapy. His research has been funded by the NIH, NSF, DOD, and industrial funding agencies. Dr. Yang has published over 300 peer-reviewed journal papers and book chapters, and has received numerous scientific awards, including the John Laughlin Young Scientist Award from the American Association of Physicists in Medicine.

Tonghe Wang, PhD, DABR, is an assistant attending physicist in the Department of Medical Physics at the Memorial Sloan Kettering at main campus. Dr. Wang received his BS in physics from Peking University in China in 2013 and PhD in medical physics from Georgia Institute of Technology in 2017, with research experience in iterative CT reconstruction. Dr. Wang completed a medical physics residency at Emory University in 2019 and stayed at Emory as an assistant professor and board-certified medical physicist before joining Memorial Sloan Kettering Cancer Center in 2022. Dr. Wang provide clinical physics services in all aspects of radiation therapy and specialize in brachytherapy and Gamma Knife. Dr. Wang is currently working on a variety of research projects, including image segmentation and image synthesizing. He is interested in improving automation in clinical workflow and enabling advanced treatment strategy.