David A. Hormuth
Orcid: 0000-0002-9643-1694
According to our database1,
David A. Hormuth
authored at least 9 papers
between 2020 and 2023.
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Bibliography
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