David Fuentes
David Fuentes
Associate Professor
Verified email at mdanderson.org - Homepage
Cited by
Cited by
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Laser-induced thermal therapy for tumor ablation
RJ Stafford, D Fuentes, AA Elliott, JS Weinberg, K Ahrar
Critical Reviews™ in Biomedical Engineering 38 (1), 2010
Role of Wnt/β-catenin signaling in hepatocellular carcinoma, pathogenesis, and clinical significance
AM Khalaf, D Fuentes, AI Morshid, MR Burke, AO Kaseb, M Hassan, ...
Journal of hepatocellular carcinoma 5, 61, 2018
A reference dataset for deformable image registration spatial accuracy evaluation using the COPDgene study archive
R Castillo, E Castillo, D Fuentes, M Ahmad, AM Wood, MS Ludwig, ...
Physics in Medicine & Biology 58 (9), 2861, 2013
Nanoshell-mediated laser surgery simulation for prostate cancer treatment
Y Feng, D Fuentes, A Hawkins, J Bass, MN Rylander, A Elliott, A Shetty, ...
Engineering with computers 25 (1), 3-13, 2009
Toward predictive multiscale modeling of vascular tumor growth
JT Oden, EABF Lima, RC Almeida, Y Feng, MN Rylander, D Fuentes, ...
Archives of Computational Methods in Engineering 23 (4), 735-779, 2016
Kinetic modeling and constrained reconstruction of hyperpolarized [1-13C]-pyruvate offers improved metabolic imaging of tumors
JA Bankson, CM Walker, MS Ramirez, W Stefan, D Fuentes, ME Merritt, ...
Cancer research 75 (22), 4708-4717, 2015
Computational modeling and real-time control of patient-specific laser treatment of cancer
D Fuentes, JT Oden, KR Diller, JD Hazle, A Elliott, A Shetty, RJ Stafford
Annals of biomedical engineering 37 (4), 763-782, 2009
Model-based planning and real-time predictive control for laser-induced thermal therapy
Y Feng, D Fuentes
International Journal of Hyperthermia 27 (8), 751-761, 2011
Robust phase unwrapping for MR temperature imaging using a magnitude‐sorted list, multi‐clustering algorithm
F Maier, D Fuentes, JS Weinberg, JD Hazle, RJ Stafford
Magnetic resonance in medicine 73 (4), 1662-1668, 2015
Dynamic data‐driven finite element models for laser treatment of cancer
JT Oden, KR Diller, C Bajaj, JC Browne, J Hazle, I Babuška, J Bass, ...
Numerical Methods for Partial Differential Equations: An International …, 2007
Lung tumor segmentation methods: impact on the uncertainty of radiomics features for non-small cell lung cancer
CA Owens, CB Peterson, C Tang, EJ Koay, W Yu, DS Mackin, J Li, ...
PLoS One 13 (10), e0205003, 2018
Magnetic resonance temperature imaging validation of a bioheat transfer model for laser‐induced thermal therapy
D Fuentes, C Walker, A Elliott, A Shetty, JD Hazle, RJ Stafford
International Journal of Hyperthermia 27 (5), 453-464, 2011
A machine learning model to predict hepatocellular carcinoma response to transcatheter arterial chemoembolization
A Morshid, KM Elsayes, AM Khalaf, MM Elmohr, J Yu, AO Kaseb, ...
Radiology: Artificial Intelligence 1 (5), e180021, 2019
Adaptive real-time bioheat transfer models for computer-driven MR-guided laser induced thermal therapy
D Fuentes, Y Feng, A Elliott, A Shetty, RJ McNichols, JT Oden, RJ Stafford
IEEE transactions on biomedical engineering 57 (5), 1024-1030, 2010
High-fidelity computer models for prospective treatment planning of radiofrequency ablation with in vitro experimental correlation
D Fuentes, R Cardan, RJ Stafford, J Yung, GD Dodd III, Y Feng
Journal of Vascular and Interventional Radiology 21 (11), 1725-1732, 2010
Extensions of goal-oriented error estimation methods to simulations of highly-nonlinear response of shock-loaded elastomer-reinforced structures
D Fuentes, D Littlefield, JT Oden, S Prudhomme
Computer methods in applied mechanics and engineering 195 (37-40), 4659-4680, 2006
Volumetric response of progressing post-SRS lesions treated with laser interstitial thermal therapy
VB Beechar, SS Prabhu, D Bastos, JS Weinberg, RJ Stafford, D Fuentes, ...
Journal of neuro-oncology 137 (1), 57-65, 2018
Generalised polynomial chaos-based uncertainty quantification for planning MRgLITT procedures
SJ Fahrenholtz, RJ Stafford, F Maier, JD Hazle, D Fuentes
International Journal of Hyperthermia 29 (4), 324-335, 2013
Kalman filtered MR temperature imaging for laser induced thermal therapies
D Fuentes, J Yung, JD Hazle, JS Weinberg, RJ Stafford
IEEE transactions on medical imaging 31 (4), 984-994, 2011
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