Microstructure-Based, Multiscale Modeling for the Mechanical Behavior of Hydrated Fiber Networks. - Preethi L. Chandran; Triantafyllos Stylianopoulos; Victor H. Barocas (Multiscale Model. Simul., 2008)

Multiscale computation for bioartificial soft tissues with complex geometries. - Xiaojuan Luo; Triantafyllos Stylianopoulos; Victor H. Barocas; Mark S. Shephard (Eng. Comput., 2009)

Linear dynamic modelling and Bayesian forecasting of tumor evolution. - Achilleas Achilleos; Charalambos Loizides; Triantafyllos Stylianopoulos; Georgios D. Mitsis (BIBE, 2012)

Design rules for cancer nanomedicines. - Triantafyllos Stylianopoulos; Konstantinos Soteriou; Dai Fukumura; Rakesh K. Jain (BIBE, 2012)

Multi-process dynamic modeling of tumor-specific evolution. - Achilleas Achilleos; Charalambos Loizides; Triantafyllos Stylianopoulos; Georgios D. Mitsis (BIBE, 2013)

A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth. - Vasileios Vavourakis; Peter A. Wijeratne; Rebecca Shipley; Marilena Loizidou; Triantafyllos Stylianopoulos; David J. Hawkes (PLoS Comput. Biol., 2017)

In-silico dynamic analysis of cytotoxic drug administration to solid tumours: Effect of binding affinity and vessel permeability. - Vasileios Vavourakis; Triantafyllos Stylianopoulos; Peter A. Wijeratne (PLoS Comput. Biol., 2018)

Correction: In-silico dynamic analysis of cytotoxic drug administration to solid tumours: Effect of binding affinity and vessel permeability. - Vasileios Vavourakis; Triantafyllos Stylianopoulos; Peter A. Wijeratne (PLoS Comput. Biol., 2019)

Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19. - Sonu Subudhi; Ashish Verma; Ankit B. Patel; C. Corey Hardin; Melin J. Khandekar; Hang Lee; Dustin McEvoy; Triantafyllos Stylianopoulos; Lance L. Munn; Sayon Dutta; Rakesh K. Jain (npj Digit. Medicine, 2021)

Mathematical modeling of intratumoral immunotherapy yields strategies to improve the treatment outcomes. - Constantinos Harkos; Triantafyllos Stylianopoulos; Rakesh K. Jain (PLoS Comput. Biol., 2023)

A framework to create, evaluate and select synthetic datasets for survival prediction in oncology. - A. T. Christoforou; Simon Spohn; T. Sprave; Tobias Fechter; A. Rühle; Nils H. Nicolay; Ilinca Popp; Anca L. Grosu; Jan Peeken; A. H. Thieme; Triantafyllos Stylianopoulos; I. Strouthos; et al. (Comput. Biol. Medicine, 2025)