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Mathematical Biosciences and Engineering : MBE|January 18, 2023
A data assimilation framework to predict the response of glioma cells to radiationJunyan Liu, David A Hormuth Ii, Jianchen Yang, et al.European Journal of Radiology|August 8, 2026
Apparent diffusion coefficient (ADC) as a single predictor is insufficient to predict cellular density in gliomasRachel Glenn, Rajarajeswari Muthusivarajan, David A Hormuth Ii, et al.Arxiv|September 11, 2023
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big dataGuillermo Lorenzo, Syed Rakin Ahmed, David A Hormuth Ii, et al.Arxiv|May 9, 2025
TumorTwin: A python framework for patient-specific digital twins in oncologyMichael Kapteyn, Anirban Chaudhuri, Ernesto A B F Lima, et al.Journal of Clinical Medicine|May 7, 2020
Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and OpportunitiesAngela M Jarrett, Danial Faghihi, David A Hormuth Ii, et al.BMC Medical Informatics and Decision Making|May 12, 2026
TumorTwin: a Python framework for patient-specific digital twins in oncologyMichael G Kapteyn, Anirban Chaudhuri, Ernesto A B F Lima, et al.Biomedical Physics & Engineering Express|May 29, 2021
Patient specific, imaging-informed modeling of rhenium-186 nanoliposome delivery via convection-enhanced delivery in glioblastoma multiformeRyan T Woodall, David A Hormuth Ii, Chengyue Wu, et al.Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 2, 2025
Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiationKhushi C Hiremath, Kenan Atakishi, Ernesto A B F Lima, et al.Physics in Medicine and Biology|April 9, 2026
The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmapJie Deng, Sirisha Tadimalla, Tyler Seibert, et al.Pageof 1