David A. Hormuth
Orcid: 0000-0002-9643-1694
According to our database1,
David A. Hormuth
authored at least 11 papers
between 2020 and 2024.
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Bibliography
2024
Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition.
J. Comput. Sci., 2024
Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma.
Comput. Biol. Medicine, 2024
2023
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth.
IEEE Trans. Medical Imaging, October, 2023
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas.
Frontiers Artif. Intell., February, 2023
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data.
CoRR, 2023
Optimized Patient-Specific Catheter Placement for Convection-Enhanced Nanoparticle Delivery in Recurrent Glioblastoma.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
2022
Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics.
IEEE Trans. Biomed. Eng., 2022
2021
Modeling of Glioma Growth With Mass Effect by Longitudinal Magnetic Resonance Imaging.
IEEE Trans. Biomed. Eng., 2021
An <i>in silico</i> validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom.
Medical Image Anal., 2021
CoRR, 2021
2020
Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics.
IEEE Trans. Medical Imaging, 2020