Center for Computational Oncology
Texas A and M University
United States of America
Dr. David Fuentes is working at Center for Computational Oncology, University of Texas A & M, USA
My research team embraces the open-science ideology for repeatibility and reproducibility. Research codes are provided on open source hosting sites, such as github (https://github.com/ImageGuidedTherapyLab), to facilitate collaborations within the lab as well as researchers within the institution. Self contained usage examples with representative data is provided as a starting point to facility reproducibility of the results. Our coding projects leverage several state of the art and actively developed software packages such as Slicer, DAKOTA, PETSc, ITK, and libMesh. This approach will facilitate collaborations with top level researchers in scientific computing on a state and national scale.
Fahrenholtz SJ, Stafford RJ, Maier F, Hazle JD, Fuentes D. Generalised polynomial chaos-based uncertainty quantification for planning MRgLITT procedures. International Journal of Hyperthermia. 2013 Jun 1;29(4):324-35.
Castillo E, Castillo R, Fuentes D, Guerrero T. Computing global minimizers to a constrained B‐spline image registration problem from optimal l1 perturbations to block match data. Medical physics. 2014 Apr 1;41(4).
Fahrenholtz SJ, Moon TY, Franco M, Medina D, Danish S, Gowda A, Shetty A, Maier F, Hazle JD, Stafford RJ, Warburton T. A model evaluation study for treatment planning of laser-induced thermal therapy. International Journal of Hyperthermia. 2015 Oct 3;31(7):705-14.