David Fuentes

发表

MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques

Yusheng Feng, J. Tinsley Oden, David Fuentes, 2008, 2008 International Conference on BioMedical Engineering and Informatics.

Kalman Filtered MR Temperature Imaging for Laser Induced Thermal Therapies

R. Jason Stafford, David Fuentes, John D. Hazle, 2012, IEEE Transactions on Medical Imaging.

Real-Time Predictive Surgical Control for Cancer Treatment Using Laser Ablation [Life Science]

Yusheng Feng, David Fuentes, 2011, IEEE Signal Processing Magazine.

Gaussian process classification of superparamagnetic relaxometry data: Phantom study

Javad Sovizi, Wolfgang Stefan, David Fuentes, 2017, Artif. Intell. Medicine.

Robust phase unwrapping for MR temperature imaging using a magnitude‐sorted list, multi‐clustering algorithm

David Fuentes, John D Hazle, R Jason Stafford, 2015, Magnetic resonance in medicine.

Development of a Computational Paradigm for Laser Treatment of Cancer

Yusheng Feng, J. Tinsley Oden, James C. Browne, 2006, International Conference on Computational Science.

Efficient and Robust CT Image Segmentation with a Level Set Network

Béatrice Rivière, David Fuentes, Jonas A. Actor, 2019, AMIA.

Adaptive Real-Time Bioheat Transfer Models for Computer-Driven MR-Guided Laser Induced Thermal Therapy

Yusheng Feng, J. Tinsley Oden, R. Jason Stafford, 2010, IEEE Transactions on Biomedical Engineering.

Structural Analysis of an Aluminum Multihull

Marcos Salas, David Fuentes, Gonzalo Tampier, 2015 .

Numerical Calculation of Mass Flow Rate in Capillary Tubes Using â€˜Artâ€™, an Advanced Simulation Software

David Fuentes, José M. Corberán, José Gonzálvez, 2004 .

An information theory model for optimizing quantitative magnetic resonance imaging acquisitions

Naoyuki Takei, Ken-Pin Hwang, Suchandrima Banerjee, 2020, Physics in medicine and biology.

Information theory optimization of acquisition parameters for improved synthetic MRI reconstruction

Ken-Pin Hwang, David Fuentes, Tao Zhang, 2018, Medical Imaging.

Role of alkylated residues in the tetrapeptide self‐assembly—A molecular dynamics study

David Fuentes, William J Allen, Rajarajeswari Muthusivarajan, 2020, J. Comput. Chem..

Nanoshell-mediated laser surgery simulation for prostate cancer treatment

Yusheng Feng, J. Tinsley Oden, R. Jason Stafford, 2009, Engineering with Computers.

Hydrodynamic study of the influence of bulbous bow design for an Offshore Patrol Vessel using Computational Fluid Dynamics

Bharat Verma, David Fuentes, Luis Leal, 2018 .

Model-based planning and real-time predictive control for laser-induced thermal therapy

Yusheng Feng, David Fuentes, D. Fuentes, 2011, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

Bayesian inference and model selection for physiologically-based pharmacokinetic modeling of superparamagnetic iron oxide nanoparticles

Javad Sovizi, Wolfgang Stefan, David Fuentes, 2018, Medical Imaging.

Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer

Yusheng Feng, J. Tinsley Oden, James C. Browne, 2007, International Conference on Computational Science.

Optimization and real-time control for laser treatment of heterogeneous soft tissues.

Yusheng Feng, David Fuentes, Andrea Hawkins, 2009, Computer methods in applied mechanics and engineering.

Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction

J. Gregory Pauloski, David Fuentes, Dawid Schellingerhout, 2018, BrainLes@MICCAI.

Model-based real-time control for laser induced thermal therapy with applications to prostate cancer treatment

Yusheng Feng, J. Tinsley Oden, R. Jason Stafford, 2009, BiOS.

Kinetic Modeling and Constrained Reconstruction of Hyperpolarized [1-13C]-Pyruvate Offers Improved Metabolic Imaging of Tumors.

Marc S Ramirez, James A Bankson, Wolfgang Stefan, 2015, Cancer research.

Guiding the first biopsy in glioma patients using estimated Ki-67 maps derived from MRI: conventional versus advanced imaging

David Fuentes, Dawid Schellingerhout, John D Hazle, 2019, Neuro-oncology.

A model evaluation study for treatment planning of laser-induced thermal therapy

David Fuentes, John D. Hazle, David S. Medina, 2015, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

Generalised polynomial chaos-based uncertainty quantification for planning MRgLITT procedures

R. Jason Stafford, David Fuentes, John D. Hazle, 2013, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

Effects of excitation angle strategy on quantitative analysis of hyperpolarized pyruvate

James A Bankson, David Fuentes, Daniel B Vigneron, 2019, Magnetic resonance in medicine.

Theoretical model for laser ablation outcome predictions in brain: calibration and validation on clinical MR thermometry images

Reza Madankan, David Fuentes, John D Hazle, 2018, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

Extensions of goal-oriented error estimation methods to simulations of highly-nonlinear response of shock-loaded elastomer-reinforced structures

J. Tinsley Oden, David L. Littlefield, Serge Prudhomme, 2006 .

Photoacoustic-based sO2 estimation through excised bovine prostate tissue with interstitial light delivery

Wolfgang Stefan, David Fuentes, Houra Taghavi, 2017, Photoacoustics.

Computing global minimizers to a constrained B-spline image registration problem from optimal l1 perturbations to block match data.

Thomas Guerrero, David Fuentes, Richard Castillo, 2014, Medical physics.

High-fidelity computer models for prospective treatment planning of radiofrequency ablation with in vitro experimental correlation.

Yusheng Feng, Rex Cardan, David Fuentes, 2010, Journal of vascular and interventional radiology : JVIR.