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David Fuentes 0001
Person information
- affiliation: The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Houston, TX, USA
Other persons with the same name
- David Fuentes 0002 — University of Alcalá, Alcalá de Henares, Spain
- David Fuentes 0003 — University of Virginia, School of Data Science, USA
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2020 – today
- 2024
- [j12]Adrian Celaya
, Keegan L. A. Kirk, David Fuentes, Beatrice Riviere
Solutions to elliptic and parabolic problems via finite difference based unsupervised small linear convolutional neural networks. Comput. Math. Appl. 174: 31-42 (2024) - [i10]Alec Reinhardt, Newsha Nikzad, Raven J. Hollis, Galia Jacobson, Millicent A. Roach, Mohamed Badawy, Peter Chul Park, Laura Beretta, Prasun K. Jalal, David T. Fuentes, Eugene J. Koay, Suprateek Kundu:
Heterogeneous Image-based Classification Using Distributional Data Analysis. CoRR abs/2403.07126 (2024) - [i9]Adrian Celaya, Evan Lim, Rachel Glenn, Brayden Mi, Alex Balsells, Tucker J. Netherton, Caroline Chung, Beatrice Riviere, David Fuentes:
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework. CoRR abs/2407.21343 (2024) - [i8]Awj Twam, Megan Jacobsen, Rachel Glenn, Ann Klopp, Aradhana M. Venkatesan, David Fuentes:
Two Stage Segmentation of Cervical Tumors using PocketNet. CoRR abs/2409.11456 (2024) - 2023
- [j11]Reshmi J. S. Patel
A Simulation of the Effects of Diffusion on Hyperpolarized [1-13C]-Pyruvate Signal Evolution. IEEE Trans. Biomed. Eng. 70(10): 2905-2913 (2023) - [j10]Adrian Celaya
PocketNet: A Smaller Neural Network for Medical Image Analysis. IEEE Trans. Medical Imaging 42(4): 1172-1184 (2023) - [i7]Adrian Celaya, Alejandro Diaz, Alex Balsells, Beatrice Riviere, David Fuentes:
A Weighted Normalized Boundary Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation. CoRR abs/2302.03868 (2023) - [i6]Adrian Celaya, Beatrice Riviere, David Fuentes:
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation. CoRR abs/2304.02725 (2023) - [i5]Adrian Celaya, Keegan L. A. Kirk, David Fuentes, Beatrice Riviere:
Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks. CoRR abs/2311.00259 (2023) - 2022
- [i4]Kai Huang, Prajnan Das, Adenike M. Olanrewaju, Carlos E. Cardenas S., David Fuentes, Lifei Joy Zhang, Donald Hancock, Hannah Simonds, Dong Joo Rhee, Sam Beddar, Tina Marie Briere, Laurence E. Court:
Automation of Radiation Treatment Planning for Rectal Cancer. CoRR abs/2204.12539 (2022) - [i3]Prashant K. Jha, Christopher Walker, Drew Mitchell, J. Tinsley Oden, Dawid Schellingerhout, James A. Bankson, David T. Fuentes:
Mutual-Information Based Optimal Experimental Design for Hyperpolarized 13C-Pyruvate MRI. CoRR abs/2206.12509 (2022) - 2021
- [j9]Joseph D. Butner
Corrections to "A multiscale Agent-Based Model of Ductal Carcinoma in Situ". IEEE Trans. Biomed. Eng. 68(2): 736 (2021) - [i2]Adrian Celaya, Jonas A. Actor, Rajarajeswari Muthusivarajan, Evan D. H. Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes:
PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation. CoRR abs/2104.10745 (2021) - [i1]Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P. Yung, Satish Viswanath, Daniel S. Marcus, Caroline Chung, David Fuentes:
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy. CoRR abs/2111.01093 (2021) - 2020
- [j8]Rajarajeswari Muthusivarajan
Role of alkylated residues in the tetrapeptide self-assembly - A molecular dynamics study. J. Comput. Chem. 41(31): 2634-2640 (2020) - [j7]Joseph D. Butner
A Multiscale Agent-Based Model of Ductal Carcinoma In Situ. IEEE Trans. Biomed. Eng. 67(5): 1450-1461 (2020) - [c8]Evan D. H. Gates, Jonathan S. Lin, Jeffrey S. Weinberg, Sujit S. Prabhu, Jackson Hamilton
Advanced magnetic resonance imaging based algorithm for local grading of glioma. Computer-Aided Diagnosis 2020 - [c7]Jonas A. Actor, David T. Fuentes, Beatrice Riviere:
Identification of kernels in a convolutional neural network: connections between the level set equation and deep learning for image segmentation. Image Processing 2020: 1131317
2010 – 2019
- 2019
- [c6]Jonas A. Actor, Beatrice Riviere, David Fuentes:
Efficient and Robust CT Image Segmentation with a Level Set Network. AMIA 2019 - 2018
- [c5]Lynn Bi, Javad Sovizi, Kelsey Mathieu, Wolfgang Stefan, Sara L. Thrower
Bayesian inference and model selection for physiologically-based pharmacokinetic modeling of superparamagnetic iron oxide nanoparticles. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105782G - [c4]Evan D. H. Gates, J. Gregory Pauloski, Dawid Schellingerhout, David Fuentes:
Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction. BrainLes@MICCAI (2) 2018: 476-484 - 2017
- [j6]Javad Sovizi, Kelsey B. Mathieu, Sara L. Thrower
Gaussian process classification of superparamagnetic relaxometry data: Phantom study. Artif. Intell. Medicine 82: 47-59 (2017) - 2014
- [j5]Erol Yeniaras, David T. Fuentes, S. J. Fahrenholtz, Jeffrey S. Weinberg
Design and initial evaluation of a treatment planning software system for MRI-guided laser ablation in the brain. Int. J. Comput. Assist. Radiol. Surg. 9(4): 659-667 (2014) - 2012
- [j4]David Fuentes, J. Yung, John D. Hazle, Jeffrey S. Weinberg
Kalman Filtered MR Temperature Imaging for Laser Induced Thermal Therapies. IEEE Trans. Medical Imaging 31(4): 984-994 (2012) - 2011
- [j3]Yusheng Feng, David Fuentes:
Real-Time Predictive Surgical Control for Cancer Treatment Using Laser Ablation [Life Science]. IEEE Signal Process. Mag. 28(3): 134-138 (2011) - 2010
- [j2]David Fuentes, Yusheng Feng, Andrew Elliott, Anil Shetty, R. Jason McNichols, J. Tinsley Oden, R. Jason Stafford:
Adaptive Real-Time Bioheat Transfer Models for Computer-Driven MR-Guided Laser Induced Thermal Therapy. IEEE Trans. Biomed. Eng. 57(5): 1024-1030 (2010)
2000 – 2009
- 2009
- [j1]Yusheng Feng, David Fuentes, Andrea Hawkins, Jon Bass, Marissa Nichole Rylander, Andrew Elliott, Anil Shetty, R. Jason Stafford, J. Tinsley Oden:
Nanoshell-mediated laser surgery simulation for prostate cancer treatment. Eng. Comput. 25(1): 3-13 (2009) - 2008
- [c3]Yusheng Feng, David Fuentes, Andrea Hawkins, J. Tinsley Oden:
MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques. BMEI (2) 2008: 168-172 - 2007
- [c2]Chandrajit L. Bajaj, J. Tinsley Oden, Kenneth R. Diller, James C. Browne, John D. Hazle, Ivo Babuska, Jon Bass, L. Bidaut, Leszek F. Demkowicz, Andrew Elliott, Yusheng Feng, David Fuentes, Boseob Kwon, Serge Prudhomme, R. Jason Stafford, Yongjie Zhang
Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer. International Conference on Computational Science (1) 2007: 972-979 - 2006
- [c1]J. Tinsley Oden, Kenneth R. Diller, Chandrajit L. Bajaj, James C. Browne, John D. Hazle, Ivo Babuska, Jon Bass, Leszek F. Demkowicz, Yusheng Feng, David Fuentes, Serge Prudhomme, Marissa Nichole Rylander, R. Jason Stafford, Yongjie Zhang
Development of a Computational Paradigm for Laser Treatment of Cancer. International Conference on Computational Science (3) 2006: 530-537
Coauthor Index
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