Mathematical analysis and simulation study of a phase-field model of prostate cancer growth with chemotherapy and antiangiogenic therapy effects. - Pierluigi Colli; Héctor Gómez; Guillermo Lorenzo; Gabriela Marinoschi; Alessandro Reali; Elisabetta Rocca (CoRR, 2019)

Simulating the spread of COVID-19 via spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion. - Alex Viguerie; Guillermo Lorenzo; Ferdinando Auricchio; Davide Baroli; Thomas J. R. Hughes; Alessia Patton; Alessandro Reali; Thomas E. Yankeelov; Alessandro Veneziani (CoRR, 2020)

Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth. - Pierluigi Colli; Héctor Gómez; Guillermo Lorenzo; Gabriela Marinoschi; Alessandro Reali; Elisabetta Rocca (CoRR, 2020)

Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics. - Chengyue Wu; David A. Hormuth; Todd A. Oliver; Federico Pineda; Guillermo Lorenzo; Gregory S. Karczmar; Robert D. Moser; Thomas E. Yankeelov (IEEE Trans. Medical Imaging, 2020)

Simulating the spread of COVID-19 via a spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion. - Alex Viguerie; Guillermo Lorenzo; Ferdinando Auricchio; Davide Baroli; Thomas J. R. Hughes; Alessia Patton; Alessandro Reali; Thomas E. Yankeelov; Alessandro Veneziani (Appl. Math. Lett., 2021)

Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. - 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 (CoRR, 2021)

Oncology and mechanics: landmark studies and promising clinical applications. - Stéphane Urcun; Guillermo Lorenzo; Davide Baroli; Pierre-Yves Rohan; Giuseppe Sciumè; Wafa Skalli; Vincent Lubrano; Stéphane P. A. Bordas (CoRR, 2022)

Identifying mechanisms driving the early response of triple negative breast cancer patients to neoadjuvant chemotherapy using a mechanistic model integrating in vitro and in vivo imaging data. - Guillermo Lorenzo; Angela M. Jarrett; Christian T. Meyer; Vito Quaranta; Darren R. Tyson; Thomas E. Yankeelov (CoRR, 2022)

Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics. - Chengyue Wu; David A. Hormuth; Guillermo Lorenzo; Angela M. Jarrett; Federico Pineda; Frederick M. Howard; Gregory S. Karczmar; Thomas E. Yankeelov (IEEE Trans. Biomed. Eng., 2022)

Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data. - Guillermo Lorenzo; Syed Rakin Ahmed; David A. Hormuth II; Brenna Vaughn; Jayashree Kalpathy-Cramer; Luis Solorio; Thomas E. Yankeelov; Héctor Gómez (CoRR, 2023)

Patient-specific computational forecasting of prostate cancer growth during active surveillance using an imaging-informed biomechanistic model. - Guillermo Lorenzo; Jon S. Heiselman; Michael A. Liss; Michael I. Miga; Héctor Gómez; Thomas E. Yankeelov; Alessandro Reali; Thomas J. R. Hughes (CoRR, 2023)

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. - Anirban Chaudhuri; Graham Pash; David A. Hormuth; Guillermo Lorenzo; Michael G. Kapteyn; Chengyue Wu; Ernesto A. B. F. Lima; Thomas E. Yankeelov; Karen Willcox (Frontiers Artif. Intell., 2023)

Prostate Cancer Relapse Assessment Based on Optimised Outlier Detection. - Ramón Suárez; Fernando Moncada; José R. Villar 001; Héctor Gómez; Guillermo Lorenzo; Víctor M. González 002 (SOCO (1), 2024)

Iterative algorithms for the reconstruction of early states of prostate cancer growth. - Elena Beretta; Cecilia Cavaterra; Matteo Fornoni; Guillermo Lorenzo; Elisabetta Rocca (CoRR, 2024)

Mathematical Analysis of a Model-Constrained Inverse Problem For the Reconstruction of Early States of Prostate Cancer Growth. - Elena Beretta; Cecilia Cavaterra; Matteo Fornoni; Guillermo Lorenzo; Elisabetta Rocca (SIAM J. Appl. Math., 2024)

Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States. - Orhun O. Davarci; Emily Y. Yang; Alexander Viguerie; Thomas E. Yankeelov; Guillermo Lorenzo (Eng. Comput., 2024)

A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data. - Guillermo Lorenzo; Angela M. Jarrett; Christian T. Meyer; Julie C. DiCarlo; John Virostko; Vito Quaranta; Darren R. Tyson; Thomas E. Yankeelov (Eng. Comput., 2024)

Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI. - Paula Puerta González; Pablo García Marcos; Sara Fernández Arias; Rebeca Oliveira Suárez; Guillermo Lorenzo; Héctor Gómez; Covadonga del Camino; José R. Villar 001; Ángel Río-Álvarez; Víctor M. González 002 (CBMS, 2025)

Validating the predictions of mathematical models describing tumor growth and treatment response. - Guillermo Lorenzo; David A. Hormuth II; Chengyue Wu; Graham Pash; Anirban Chaudhuri; Ernesto A. B. F. Lima; Lois C. Okereke; Reshmi Patel; Karen Willcox; Thomas E. Yankeelov (CoRR, 2025)