Feasibility of Mobile and Sensor Technology for Remote Monitoring in Cancer Care and Prevention. - Susan K. Peterson; Karen M. Basen-Engquist; Wendy Demark-Wahnefried; Alexander V. Prokhorov; Eileen H. Shinn; Stephanie L. Martch; Beth M. Beadle; Adam S. Garden; Emilia Farcas; G. Brandon Gunn; Clifton D. Fuller; William H. Morrison; et al. (AMIA, 2021)

Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy. - Xiaokun Liang; Maxime Bassenne; Dimitre H. Hristov; Md Tauhidul Islam; Wei Zhao 029; Mengyu Jia; Zhicheng Zhang; Michael Gensheimer 001; Beth M. Beadle; Quynh Le; Lei Xing 001 (Comput. Biol. Medicine, 2022)

Adaptive Region-Specific Loss for Improved Medical Image Segmentation. - Yizheng Chen; Lequan Yu; Jen-Yeu Wang; Neil Panjwani; Jean-Pierre Obeid; Wu Liu; Lianli Liu; Nataliya Kovalchuk; Michael Francis Gensheimer; Lucas Kas Vitzthum; Beth M. Beadle; Daniel T. Chang; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Large Language Model-Augmented Auto-Delineation of Treatment Target Volume in Radiation Therapy. - Praveenbalaji Rajendran; Yong Yang; Thomas R. Niedermayr; Michael Gensheimer 001; Beth M. Beadle; Quynh-Thu Le; Lei Xing 001; Xianjin Dai (CoRR, 2024)