David Fuentes
Affiliations:- The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Houston, TX, USA
According to our database1,
David Fuentes
authored at least 27 papers
between 2006 and 2024.
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Bibliography
2024
CoRR, 2024
2023
A Simulation of the Effects of Diffusion on Hyperpolarized [1-<sup>13</sup>C]-Pyruvate Signal Evolution.
IEEE Trans. Biomed. Eng., October, 2023
IEEE Trans. Medical Imaging, April, 2023
Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks.
CoRR, 2023
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation.
CoRR, 2023
A Weighted Normalized Boundary Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation.
CoRR, 2023
2022
Mutual-Information Based Optimal Experimental Design for Hyperpolarized <sup>13</sup>C-Pyruvate MRI.
CoRR, 2022
2021
IEEE Trans. Biomed. Eng., 2021
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy.
CoRR, 2021
2020
IEEE Trans. Biomed. Eng., 2020
Role of alkylated residues in the tetrapeptide self-assembly - A molecular dynamics study.
J. Comput. Chem., 2020
Identification of kernels in a convolutional neural network: connections between the level set equation and deep learning for image segmentation.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Proceedings of the AMIA 2019, 2019
2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Bayesian inference and model selection for physiologically-based pharmacokinetic modeling of superparamagnetic iron oxide nanoparticles.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
2017
Gaussian process classification of superparamagnetic relaxometry data: Phantom study.
Artif. Intell. Medicine, 2017
2014
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
2012
IEEE Trans. Medical Imaging, 2012
2011
Real-Time Predictive Surgical Control for Cancer Treatment Using Laser Ablation [Life Science].
IEEE Signal Process. Mag., 2011
2010
Adaptive Real-Time Bioheat Transfer Models for Computer-Driven MR-Guided Laser Induced Thermal Therapy.
IEEE Trans. Biomed. Eng., 2010
2009
Eng. Comput., 2009
2008
MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008
2007
Proceedings of the Computational Science, 2007
2006
Proceedings of the Computational Science, 2006