Ernesto A. B. F. Lima

12 papers Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bridging Scales in Cancer Modeling: Hybrid Framework, Surrogate Reduction, and Treatment Optimization.
Comput. Sci. Eng.
Gustavo Taiji Naozuka, Ernesto A. B. F. Lima, Regina C. Almeida
2025 — conf
A Model for Teaching Machine Learning, Deep Learning, and Research Computing to Domain Scientists on HPC Resources.
SC Workshops
William J. Allen, Kelsey M. Beavers, Erik S. Ferlanti, Lorenzo Concia, Joshua Urrutia, Ernesto A. B. F. Lima, John M. Fonner, Felix Zuo, H. E. Duplechin Seymour, Ari B. Kahn, Joe Stubbs, Anagha Jamthe, Stephanie N. Baker, Tabish Khan, James P. Carson
2025 J jnl
MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens.
npj Digit. Medicine
Chengyue Wu, Ernesto A. B. F. Lima, Casey E. Stowers, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov
2025 J jnl
TumorTwin: A python framework for patient-specific digital twins in oncology.
CoRR
Michael G. Kapteyn, Anirban Chaudhuri, Ernesto A. B. F. Lima, Graham Pash, Rafael Bravo, Karen Willcox, Thomas E. Yankeelov, David A. Hormuth II
2025 J jnl
Validating the predictions of mathematical models describing tumor growth and treatment response.
CoRR
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
2023 J jnl
Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting.
J. Comput. Sci.
Caleb M. Phillips, Ernesto A. B. F. Lima, Chengyue Wu, Angela M. Jarrett, Z. Zhou, N. Elshafeey, J. Ma, Greta Rauch, Thomas E. Yankeelov
2023 — conf
Perspectives and Experiences Supporting Containers for Research Computing at the Texas Advanced Computing Center.
SC Workshops
Erik S. Ferlanti, William J. Allen, Ernesto A. B. F. Lima, Yinzhi Wang, John M. Fonner
2023 J jnl
Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas.
CoRR
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
2023 J jnl
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas.
Frontiers Artif. Intell.
Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
2023 J jnl
Towards integration of time-resolved confocal microscopy of a 3D in vitro microfluidic platform with a hybrid multiscale model of tumor angiogenesis.
PLoS Comput. Biol.
Caleb M. Phillips, Ernesto A. B. F. Lima, Manasa Gadde, Angela M. Jarrett, Marissa Nichole Rylander, Thomas E. Yankeelov
2021 J jnl
Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth.
PLoS Comput. Biol.
Ernesto A. B. F. Lima, Danial Faghihi, Russell Philley, Jianchen Yang, John Virostko, Caleb M. Phillips, Thomas E. Yankeelov
2021 J jnl
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization.
CoRR
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