Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. - Imon Banerjee; Michael Francis Gensheimer; Douglas J. Wood; Solomon Henry; Daniel T. Chang; Daniel L. Rubin (CoRR, 2018)

A Simple Discrete-Time Survival Model for Neural Networks. - Michael Francis Gensheimer; Balasubramanian Narasimhan (CoRR, 2018)

Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations. - Charles W. Huang; Masoud Badiei; Hyunseok Seo; Ming Ma; Xiaokun Liang; Dante Capaldi; Michael Gensheimer 001; Lei Xing 001 (CoRR, 2019)

Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract). - Jiaming Zeng; Imon Banerjee; Michael Francis Gensheimer; Daniel L. Rubin (AAAI, 2020)

Automated model versus treating physician for predicting survival time of patients with metastatic cancer. - Michael Francis Gensheimer; Sonya Aggarwal; Kathryn R. K. Benson; Justin N. Carter; Solomon Henry; Douglas J. Wood; Scott G. Soltys; Steven Hancock; Erqi Pollom; Nigam H. Shah; Daniel T. Chang (J. Am. Medical Informatics Assoc., 2021)

Radiological tumour classification across imaging modality and histology. - Jia Wu 009; Chao Li 031; Michael Gensheimer 001; Sukhmani Padda; Fumi Kato; Hiroki Shirato; Yiran Wei 002; Carola-Bibiane Schönlieb; Stephen John Price; David A. Jaffray; John V. Heymach; Joel W. Neal; et al. (Nat. Mach. Intell., 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)

Considerations in the reliability and fairness audits of predictive models for advance care planning. - Jonathan Lu; Amelia Sattler; Samantha Wang; Ali Raza Khaki; Alison Callahan; Scott L. Fleming; Rebecca Fong; Benjamin Ehlert; Ron C. Li; Lisa Shieh; Kavitha Ramchandran; Michael Gensheimer 001; et al. (Frontiers Digit. Health, 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)

Automated radiotherapy treatment planning guided by GPT-4Vision. - Sheng Liu; Oscar Pastor-Serrano; Yizheng Chen; Matthew Gopaulchan; Weixing Liang; Mark Buyyounouski; Erqi Pollom; Quynh-Thu Le; Michael Gensheimer 001; Peng Dong; Yong Yang; James Zou 001; et al. (CoRR, 2024)

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)