Development of a Computational Paradigm for Laser Treatment of Cancer. - 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 001; Serge Prudhomme; Marissa Nichole Rylander; et al. (International Conference on Computational Science (3), 2006)

Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer. - 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 001; et al. (International Conference on Computational Science (1), 2007)

MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques. - Yusheng Feng; David Fuentes 001; Andrea Hawkins; J. Tinsley Oden (BMEI (2), 2008)

Nanoshell-mediated laser surgery simulation for prostate cancer treatment. - Yusheng Feng; David Fuentes 001; Andrea Hawkins; Jon Bass; Marissa Nichole Rylander; Andrew Elliott; Anil Shetty; R. Jason Stafford; J. Tinsley Oden (Eng. Comput., 2009)

Adaptive Real-Time Bioheat Transfer Models for Computer-Driven MR-Guided Laser Induced Thermal Therapy. - David Fuentes 001; Yusheng Feng; Andrew Elliott; Anil Shetty; R. Jason McNichols; J. Tinsley Oden; R. Jason Stafford (IEEE Trans. Biomed. Eng., 2010)

Real-Time Predictive Surgical Control for Cancer Treatment Using Laser Ablation [Life Science]. - Yusheng Feng; David Fuentes 001 (IEEE Signal Process. Mag., 2011)

Kalman Filtered MR Temperature Imaging for Laser Induced Thermal Therapies. - David Fuentes 001; J. Yung; John D. Hazle; Jeffrey S. Weinberg; R. Jason Stafford (IEEE Trans. Medical Imaging, 2012)

Design and initial evaluation of a treatment planning software system for MRI-guided laser ablation in the brain. - Erol Yeniaras; David T. Fuentes; S. J. Fahrenholtz; Jeffrey S. Weinberg; F. Maier; John D. Hazle; R. Jason Stafford (Int. J. Comput. Assist. Radiol. Surg., 2014)

Gaussian process classification of superparamagnetic relaxometry data: Phantom study. - Javad Sovizi; Kelsey B. Mathieu; Sara L. Thrower; Wolfgang Stefan; John D. Hazle; David Fuentes 001 (Artif. Intell. Medicine, 2017)

Bayesian inference and model selection for physiologically-based pharmacokinetic modeling of superparamagnetic iron oxide nanoparticles. - Lynn Bi; Javad Sovizi; Kelsey Mathieu; Wolfgang Stefan; Sara L. Thrower; John D. Hazle; David Fuentes 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction. - Evan D. H. Gates; J. Gregory Pauloski; Dawid Schellingerhout; David Fuentes 001 (BrainLes@MICCAI (2), 2018)

Efficient and Robust CT Image Segmentation with a Level Set Network. - Jonas A. Actor; Beatrice Riviere; David Fuentes 001 (AMIA, 2019)

Advanced magnetic resonance imaging based algorithm for local grading of glioma. - Evan D. H. Gates; Jonathan S. Lin; Jeffrey S. Weinberg; Sujit S. Prabhu; Jackson Hamilton; John D. Hazle; Gregory N. Fuller; Veerabhadran Baladandayuthapani; David T. Fuentes; Dawid Schellingerhout (Computer-Aided Diagnosis, 2020)

Identification of kernels in a convolutional neural network: connections between the level set equation and deep learning for image segmentation. - Jonas A. Actor; David T. Fuentes; Beatrice Riviere (Image Processing, 2020)

Role of alkylated residues in the tetrapeptide self-assembly - A molecular dynamics study. - Rajarajeswari Muthusivarajan; William J. Allen; Ashok D. Pehere; Konstantin V. Sokolov; David Fuentes 001 (J. Comput. Chem., 2020)

A Multiscale Agent-Based Model of Ductal Carcinoma In Situ. - Joseph D. Butner; David Fuentes 001; Bulent Ozpolat; George A. Calin; Xiaobo Zhou 005; John S. Lowengrub; Vittorio Cristini; Zhihui Wang 008 (IEEE Trans. Biomed. Eng., 2020)

PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation. - Adrian Celaya; Jonas A. Actor; Rajarajeswari Muthusivarajan; Evan D. H. Gates; Caroline Chung; Dawid Schellingerhout; Beatrice Riviere; David Fuentes 001 (CoRR, 2021)

Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy. - Rajarajeswari Muthusivarajan; Adrian Celaya; Joshua P. Yung; Satish Viswanath; Daniel S. Marcus; Caroline Chung; David Fuentes 001 (CoRR, 2021)

Corrections to "A multiscale Agent-Based Model of Ductal Carcinoma in Situ". - Joseph D. Butner; David Fuentes 001; Bulent Ozpolat; George A. Calin; Xiaobo Zhou 005; John S. Lowengrub; Vittorio Cristini; Zhihui Wang 008 (IEEE Trans. Biomed. Eng., 2021)

Automation of Radiation Treatment Planning for Rectal Cancer. - Kai Huang; Prajnan Das; Adenike M. Olanrewaju; Carlos E. Cárdenas S.; David Fuentes 001; Lifei Joy Zhang; Donald Hancock; Hannah Simonds; Dong Joo Rhee; Sam Beddar; Tina Marie Briere; Laurence E. Court (CoRR, 2022)

Mutual-Information Based Optimal Experimental Design for Hyperpolarized 13C-Pyruvate MRI. - Prashant K. Jha; Christopher Walker; Drew Mitchell; J. Tinsley Oden; Dawid Schellingerhout; James A. Bankson; David T. Fuentes (CoRR, 2022)

A Weighted Normalized Boundary Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation. - Adrian Celaya; Alejandro Diaz; Alex Balsells; Beatrice Riviere; David Fuentes 001 (CoRR, 2023)

FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation. - Adrian Celaya; Beatrice Riviere; David Fuentes 001 (CoRR, 2023)

PocketNet: A Smaller Neural Network for Medical Image Analysis. - Adrian Celaya; Jonas A. Actor; Rajarajeswari Muthusivarajan; Evan D. H. Gates; Caroline Chung; Dawid Schellingerhout; Beatrice Riviere; David Fuentes 001 (IEEE Trans. Medical Imaging, 2023)

A Simulation of the Effects of Diffusion on Hyperpolarized [1-13C]-Pyruvate Signal Evolution. - Reshmi J. S. Patel; Collin J. Harlan; David T. Fuentes; James A. Bankson (IEEE Trans. Biomed. Eng., 2023)

Head and Neck Gross Tumor Volume Automatic Segmentation Using PocketNet. - Awj Twam; Adrian Celaya; Evan Lim; Khaled Elsayes; David Fuentes 001; Tucker J. Netherton (HNTS-MRG@MICCAI, 2024)

Solutions to elliptic and parabolic problems via finite difference based unsupervised small linear convolutional neural networks. - Adrian Celaya; Keegan L. A. Kirk; David Fuentes 001; Beatrice Riviere (Comput. Math. Appl., 2024)

Heterogeneous Image-based Classification Using Distributional Data Analysis. - 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 (CoRR, 2024)

MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework. - Adrian Celaya; Evan Lim; Rachel Glenn; Brayden Mi; Alex Balsells; Tucker J. Netherton; Caroline Chung; Beatrice Riviere; David Fuentes 001 (CoRR, 2024)

Two Stage Segmentation of Cervical Tumors using PocketNet. - Awj Twam; Megan Jacobsen; Rachel Glenn; Ann Klopp; Aradhana M. Venkatesan; David Fuentes 001 (CoRR, 2024)

An Adaptive Collocation Point Strategy For Physics Informed Neural Networks via the QR Discrete Empirical Interpolation Method. - Adrian Celaya; David Fuentes 001; Beatrice Riviere (CoRR, 2025)

Learning Discontinuous Galerkin Solutions to Elliptic Problems via Small Linear Convolutional Neural Networks. - Adrian Celaya; Yimo Wang; David Fuentes 001; Beatrice Riviere (CoRR, 2025)

A Priori Generalizability Estimate for a CNN. - Cito Balsells; Beatrice Riviere; David Fuentes 001 (CoRR, 2025)

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit. - Adrian Celaya; Tucker J. Netherton; Dawid Schellingerhout; Caroline Chung; Beatrice Riviere; David Fuentes 001 (CoRR, 2025)