Co-Authors
This is a "connection" page, showing publications co-authored by DAVID THOMAS ALFONSO FUENTES and JOHN D HAZLE.
Connection Strength
2.644
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A machine learning model to predict hepatocellular carcinoma response to transcatheter arterial chemoembolization. Radiol Artif Intell. 2019 Sep; 1(5).
Score: 0.175
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A compressed sensing approach to immobilized nanoparticle localization for superparamagnetic relaxometry. Phys Med Biol. 2019 09 23; 64(19):194001.
Score: 0.175
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Automated Volumetric Assessment of Hepatocellular Carcinoma Response to Sorafenib: A Pilot Study. J Comput Assist Tomogr. 2019 May/Jun; 43(3):499-506.
Score: 0.170
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A heterogeneous tissue model for treatment planning for magnetic resonance-guided laser interstitial thermal therapy. Int J Hyperthermia. 2018 11; 34(7):943-952.
Score: 0.156
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Gaussian process classification of superparamagnetic relaxometry data: Phantom study. Artif Intell Med. 2017 Oct; 82:47-59.
Score: 0.150
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Theoretical model for laser ablation outcome predictions in brain: calibration and validation on clinical MR thermometry images. Int J Hyperthermia. 2018 02; 34(1):101-111.
Score: 0.148
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Accelerated magnetic resonance thermometry in the presence of uncertainties. Phys Med Biol. 2017 01 07; 62(1):214-245.
Score: 0.144
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Kinetic Modeling and Constrained Reconstruction of Hyperpolarized [1-13C]-Pyruvate Offers Improved Metabolic Imaging of Tumors. Cancer Res. 2015 Nov 15; 75(22):4708-17.
Score: 0.133
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A model evaluation study for treatment planning of laser-induced thermal therapy. Int J Hyperthermia. 2015; 31(7):705-14.
Score: 0.132
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Generalised polynomial chaos-based uncertainty quantification for planning MRgLITT procedures. Int J Hyperthermia. 2013 Jun; 29(4):324-35.
Score: 0.113
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An inverse problem approach to recovery of in vivo nanoparticle concentrations from thermal image monitoring of MR-guided laser induced thermal therapy. Ann Biomed Eng. 2013 Jan; 41(1):100-11.
Score: 0.107
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SU-F-BRCD-08: Uncertainty Quantification by Generalized Polynomial Chaos for MR-Guided Laser Induced Thermal Therapy. Med Phys. 2012 Jun; 39(6Part20):3857.
Score: 0.105
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Kalman filtered MR temperature imaging for laser induced thermal therapies. IEEE Trans Med Imaging. 2012 Apr; 31(4):984-94.
Score: 0.102
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Magnetic resonance temperature imaging validation of a bioheat transfer model for laser-induced thermal therapy. Int J Hyperthermia. 2011; 27(5):453-64.
Score: 0.095
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Computational modeling and real-time control of patient-specific laser treatment of cancer. Ann Biomed Eng. 2009 Apr; 37(4):763-82.
Score: 0.083
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Multimodality annotated hepatocellular carcinoma data set including pre-?and post-TACE with imaging segmentation. Sci Data. 2023 01 18; 10(1):33.
Score: 0.055
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Machine learning-based texture analysis for differentiation of radiologically indeterminate small adrenal tumors on adrenal protocol CT scans. Abdom Radiol (NY). 2021 10; 46(10):4853-4863.
Score: 0.049
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Estimating Local Cellular Density in Glioma Using MR Imaging Data. AJNR Am J Neuroradiol. 2021 01; 42(1):102-108.
Score: 0.047
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Feasibility of Automated Volumetric Assessment of Large Hepatocellular Carcinomas' Responses to Transarterial Chemoembolization. Front Oncol. 2020; 10:572.
Score: 0.046
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Imaging-Based Algorithm for the Local Grading of Glioma. AJNR Am J Neuroradiol. 2020 03; 41(3):400-407.
Score: 0.045
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Hepatocellular carcinoma response to transcatheter arterial chemoembolisation using automatically generated pre-therapeutic tumour volumes by a random forest-based segmentation protocol. Clin Radiol. 2019 Dec; 74(12):974.e13-974.e20.
Score: 0.044
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Machine learning-based texture analysis for differentiation of large adrenal cortical tumours on CT. Clin Radiol. 2019 Oct; 74(10):818.e1-818.e7.
Score: 0.043
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Guiding the first biopsy in glioma patients using estimated Ki-67 maps derived from MRI: conventional versus advanced imaging. Neuro Oncol. 2019 03 18; 21(4):527-536.
Score: 0.042
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Role of Wnt/?-catenin signaling in hepatocellular carcinoma, pathogenesis, and clinical significance. J Hepatocell Carcinoma. 2018; 5:61-73.
Score: 0.040
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A methodology for thermal dose model parameter development using perioperative MRI. Int J Hyperthermia. 2018 09; 34(6):687-696.
Score: 0.038
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Referenceless magnetic resonance temperature imaging using Gaussian process modeling. Med Phys. 2017 Jul; 44(7):3545-3555.
Score: 0.037
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Performance Assessment for Brain MR Imaging Registration Methods. AJNR Am J Neuroradiol. 2017 May; 38(5):973-980.
Score: 0.037
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Robust phase unwrapping for MR temperature imaging using a magnitude-sorted list, multi-clustering algorithm. Magn Reson Med. 2015 Apr; 73(4):1662-8.
Score: 0.030
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Estimating nanoparticle optical absorption with magnetic resonance temperature imaging and bioheat transfer simulation. Int J Hyperthermia. 2014 Feb; 30(1):47-55.
Score: 0.029
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Design and initial evaluation of a treatment planning software system for MRI-guided laser ablation in the brain. Int J Comput Assist Radiol Surg. 2014 Jul; 9(4):659-67.
Score: 0.029
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SU-E-J-53: A Phantom Validation Study of a 3D Background Phase Model for MR Thermometry. Med Phys. 2012 Jun; 39(6Part6):3664.
Score: 0.026
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Dynamic Data-Driven Finite Element Models for Laser Treatment of Cancer. Numer Methods Partial Differ Equ. 2007 Apr 26; 23(4):904-922.
Score: 0.018