Dr. David T. Fuentes Profile

Dr. David T. Fuentes

at Univ of Texas MD Anderson Cancer Ctr

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Author

Publications (7)

Proceedings Article | 16 March 2020 Paper

Advanced magnetic resonance imaging based algorithm for local grading of glioma

Evan D. Gates, Jonathan Lin, Jeffrey Weinberg, Sujit Prabhu, Jackson Hamilton, John Hazle, Gregory Fuller, Veera Baladandayuthapani, David Fuentes, Dawid Schellingerhout

Proceedings Volume 11314, 113142T (2020) https://doi.org/10.1117/12.2549607

KEYWORDS: Tumors, Biopsy, Magnetic resonance imaging, Diffusion, Tissues, Cancer, Image processing, Data modeling, Imaging systems, Statistical modeling

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Proceedings Article | 10 March 2020 Presentation + Paper

Identification of kernels in a convolutional neural network: connections between the level set equation and deep learning for image segmentation

Jonas Actor, David Fuentes, Béatrice Rivière

Proceedings Volume 11313, 1131317 (2020) https://doi.org/10.1117/12.2548871

KEYWORDS: Image segmentation, Convolution, Convolutional neural networks, Liver cancer, Computed tomography, Network architectures, Medical imaging, Liver, Tumor growth modeling, Neural networks, Numerical analysis

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Proceedings Article | 12 March 2018 Paper

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

Lynn Bi, Javad Sovizi, Kelsey Mathieu, Wolfgang Stefan, Sara Thrower, John Hazle , David Fuentes

Proceedings Volume 10578, 105782G (2018) https://doi.org/10.1117/12.2293953

KEYWORDS: Data modeling, Nanoparticles, Plasma, Liver, Mathematical modeling, Tumors, Bayesian inference, Tumor growth modeling, Tissues

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Proceedings Article | 9 March 2018 Paper

Information theory optimization of acquisition parameters for improved synthetic MRI reconstruction

Drew Mitchell, Ken-Pin Hwang, Tao Zhang, David Fuentes

Proceedings Volume 10573, 105733A (2018) https://doi.org/10.1117/12.2293860

KEYWORDS: Magnetic resonance imaging, Data modeling, Data acquisition, Information theory, Mathematical modeling, Image segmentation, Error analysis

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Proceedings Article | 9 March 2018 Paper

Automated algorithms for improved pre-processing of magnetic relaxometry data

W. Stefan, K. Mathieu, S. Thrower, D. Fuentes, C. Kaffes, J. Sovizi, J. Hazle

Proceedings Volume 10573, 105733R (2018) https://doi.org/10.1117/12.2293859

KEYWORDS: Sensors, Ovarian cancer, Magnetic sensors, Data modeling, Magnetism, Particles, Tumors, Statistical analysis, Biological research, Cancer

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Proceedings Article | 9 March 2018 Presentation + Paper

Sensitivity and specificity of a sparse reconstruction algorithm for superparamagnetic relaxometry

S. Thrower, D. Fuentes, W. Stefan, J. Sovizi, K. Mathieu, J. Hazle

Proceedings Volume 10573, 1057327 (2018) https://doi.org/10.1117/12.2293796

KEYWORDS: Reconstruction algorithms, Particles, Nanoparticles, Magnetism, Liver, Tumors, Sensors, Ovarian cancer, Magnetic sensors, Cancer

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Proceedings Article | 25 February 2009 Paper

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

Yusheng Feng, David Fuentes, R. Jason Stafford, J. Tinsley Oden

Proceedings Volume 7175, 717515 (2009) https://doi.org/10.1117/12.816875

KEYWORDS: Laser therapeutics, Data modeling, Thermal modeling, Laser tissue interaction, Calibration, Tissues, Magnetic resonance imaging, Control systems, Imaging systems, Model-based design

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Showing 5 of 7 publications

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