David A. Hormuth II

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Bayesian Inference

Treatment Planning

Top Venues

Medical Image Anal.

IEEE Trans. Biomed. Eng.

Publications

Anirban Chaudhuri, Graham Pash, David A. Hormuth II, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas. CoRR (2023)
Guillermo Lorenzo, Syed Rakin Ahmed, David A. Hormuth II, Brenna Vaughn, Jayashree Kalpathy-Cramer, Luis Solorio, Thomas E. Yankeelov, Héctor Gómez
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data. CoRR (2023)
Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth II, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. CoRR (2022)
Birkan Tunç, David A. Hormuth II, George Biros, Thomas E. Yankeelov
Modeling of Glioma Growth With Mass Effect by Longitudinal Magnetic Resonance Imaging. IEEE Trans. Biomed. Eng. 68 (12) (2021)
Chengyue Wu, David A. Hormuth II, Ty Easley, Victor Eijkhout, Federico Pineda, Gregory S. Karczmar, Thomas E. Yankeelov
validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom. Medical Image Anal. 73 (2021)
Guillermo Lorenzo, David A. Hormuth II, Angela M. Jarrett, Ernesto A. B. F. Lima, Shashank Subramanian, George Biros, J. Tinsley Oden, Thomas J. R. Hughes, Thomas E. Yankeelov
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. CoRR (2021)