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ORCIDDavid A. Hormuth
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2020 – today
- 2024
[j8]Chengyue Wu
, David A. Hormuth, Chase Christenson, Ryan T. Woodall, Michael R. A. Abdelmalik, William T. Phillips, Thomas J. R. Hughes, Andrew J. Brenner, Thomas E. Yankeelov:
Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma. Comput. Biol. Medicine 179: 108889 (2024)- [j7]Chase Christenson, Chengyue Wu, David A. Hormuth, Casey E. Stowers, Megan LaMonica, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov:
Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition. J. Comput. Sci. 82: 102400 (2024) - 2023
- [j6]Anirban Chaudhuri, Graham Pash, David A. Hormuth, 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. Frontiers Artif. Intell. 6 (2023) - [j5]Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi:
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. IEEE Trans. Medical Imaging 42(10): 2865-2875 (2023) - [c1]Chengyue Wu, David A. Hormuth, Chase Christenson, Ryan T. Woodall, Michael R. A. Abdelmalik, William T. Phillips, Thomas J. R. Hughes, Andrew J. Brenner, Thomas E. Yankeelov:
Optimized Patient-Specific Catheter Placement for Convection-Enhanced Nanoparticle Delivery in Recurrent Glioblastoma. SC Workshops 2023: 119-120 - [i4]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 abs/2308.12429 (2023) - [i3]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 abs/2308.14925 (2023) - 2022
- [j4]Chengyue Wu, David A. Hormuth, Guillermo Lorenzo, Angela M. Jarrett, Federico Pineda, Frederick M. Howard, Gregory S. Karczmar, Thomas E. Yankeelov:
Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics. IEEE Trans. Biomed. Eng. 69(11): 3334-3344 (2022) - [i2]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 abs/2209.12089 (2022) - 2021
- [j3]Chengyue Wu, David A. Hormuth II, Ty Easley, Victor Eijkhout, Federico Pineda, Gregory S. Karczmar, Thomas E. Yankeelov:
An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom. Medical Image Anal. 73: 102186 (2021) - [j2]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): 3713-3724 (2021) - [i1]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 abs/2102.12602 (2021) - 2020
- [j1]Chengyue Wu, David A. Hormuth, Todd A. Oliver, Federico Pineda, Guillermo Lorenzo, Gregory S. Karczmar, Robert D. Moser, Thomas E. Yankeelov:
Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics. IEEE Trans. Medical Imaging 39(9): 2760-2771 (2020)
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