David Fuentes

30 papers Misc 3Journal 22Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Priori Generalizability Estimate for a CNN.
CoRR
Cito Balsells, Beatrice Riviere, David Fuentes
2025 J jnl
An Adaptive Collocation Point Strategy For Physics Informed Neural Networks via the QR Discrete Empirical Interpolation Method.
CoRR
Adrian Celaya, David Fuentes, Beatrice Riviere
2025 J jnl
Learning Discontinuous Galerkin Solutions to Elliptic Problems via Small Linear Convolutional Neural Networks.
CoRR
Adrian Celaya, Yimo Wang, David Fuentes, Beatrice Riviere
2025 — conf
Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Adrian Celaya, Tucker J. Netherton, Dawid Schellingerhout, Caroline Chung, Beatrice Riviere, David Fuentes
2025 J jnl
Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit.
CoRR
Adrian Celaya, Tucker J. Netherton, Dawid Schellingerhout, Caroline Chung, Beatrice Riviere, David Fuentes
2024 — conf
Head and Neck Gross Tumor Volume Automatic Segmentation Using PocketNet.
HNTS-MRG@MICCAI
Awj Twam, Adrian Celaya, Evan Lim, Khaled Elsayes, David Fuentes, Tucker J. Netherton
2024 J jnl
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework.
CoRR
Adrian Celaya, Evan Lim, Rachel Glenn, Brayden Mi, Alex Balsells, Tucker J. Netherton, Caroline Chung, Beatrice Riviere, David Fuentes
2024 J jnl
Solutions to elliptic and parabolic problems via finite difference based unsupervised small linear convolutional neural networks.
Comput. Math. Appl.
Adrian Celaya, Keegan L. A. Kirk, David Fuentes, Beatrice Riviere
2024 J jnl
Two Stage Segmentation of Cervical Tumors using PocketNet.
CoRR
Awj Twam, Megan Jacobsen, Rachel Glenn, Ann Klopp, Aradhana M. Venkatesan, David Fuentes
2023 J jnl
A Weighted Normalized Boundary Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation.
CoRR
Adrian Celaya, Alejandro Diaz, Alex Balsells, Beatrice Riviere, David Fuentes
2023 J jnl
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation.
CoRR
Adrian Celaya, Beatrice Riviere, David Fuentes
2023 J jnl
PocketNet: A Smaller Neural Network for Medical Image Analysis.
IEEE Trans. Medical Imaging
Adrian Celaya, Jonas A. Actor, Rajarajeswari Muthusivarajan, Evan D. H. Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes
2023 J jnl
Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks.
CoRR
Adrian Celaya, Keegan L. A. Kirk, David Fuentes, Beatrice Riviere
2022 J jnl
Automation of Radiation Treatment Planning for Rectal Cancer.
CoRR
Kai Huang, Prajnan Das, Adenike M. Olanrewaju, Carlos E. Cárdenas S., David Fuentes, Lifei Joy Zhang, Donald Hancock, Hannah Simonds, Dong Joo Rhee, Sam Beddar, Tina Marie Briere, Laurence E. Court
2021 J jnl
Corrections to "A multiscale Agent-Based Model of Ductal Carcinoma in Situ".
IEEE Trans. Biomed. Eng.
Joseph D. Butner, David Fuentes, Bulent Ozpolat, George A. Calin, Xiaobo Zhou, John S. Lowengrub, Vittorio Cristini, Zhihui Wang
2021 J jnl
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy.
CoRR
Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P. Yung, Satish Viswanath, Daniel S. Marcus, Caroline Chung, David Fuentes
2021 J jnl
PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation.
CoRR
Adrian Celaya, Jonas A. Actor, Rajarajeswari Muthusivarajan, Evan D. H. Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes
2020 J jnl
A Multiscale Agent-Based Model of Ductal Carcinoma In Situ.
IEEE Trans. Biomed. Eng.
Joseph D. Butner, David Fuentes, Bulent Ozpolat, George A. Calin, Xiaobo Zhou, John S. Lowengrub, Vittorio Cristini, Zhihui Wang
2020 J jnl
Role of alkylated residues in the tetrapeptide self-assembly - A molecular dynamics study.
J. Comput. Chem.
Rajarajeswari Muthusivarajan, William J. Allen, Ashok D. Pehere, Konstantin V. Sokolov, David Fuentes
2019 Misc conf
Efficient and Robust CT Image Segmentation with a Level Set Network.
AMIA
Jonas A. Actor, Beatrice Riviere, David Fuentes
2018 — conf
Bayesian inference and model selection for physiologically-based pharmacokinetic modeling of superparamagnetic iron oxide nanoparticles.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Lynn Bi, Javad Sovizi, Kelsey Mathieu, Wolfgang Stefan, Sara L. Thrower, John D. Hazle, David Fuentes
2018 — conf
Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction.
BrainLes@MICCAI (2)
Evan D. H. Gates, J. Gregory Pauloski, Dawid Schellingerhout, David Fuentes
2017 J jnl
Gaussian process classification of superparamagnetic relaxometry data: Phantom study.
Artif. Intell. Medicine
Javad Sovizi, Kelsey B. Mathieu, Sara L. Thrower, Wolfgang Stefan, John D. Hazle, David Fuentes
2012 J jnl
Kalman Filtered MR Temperature Imaging for Laser Induced Thermal Therapies.
IEEE Trans. Medical Imaging
David Fuentes, J. Yung, John D. Hazle, Jeffrey S. Weinberg, R. Jason Stafford
2011 J jnl
Real-Time Predictive Surgical Control for Cancer Treatment Using Laser Ablation [Life Science].
IEEE Signal Process. Mag.
Yusheng Feng, David Fuentes
2010 J jnl
Adaptive Real-Time Bioheat Transfer Models for Computer-Driven MR-Guided Laser Induced Thermal Therapy.
IEEE Trans. Biomed. Eng.
David Fuentes, Yusheng Feng, Andrew Elliott, Anil Shetty, R. Jason McNichols, J. Tinsley Oden, R. Jason Stafford
2009 J jnl
Nanoshell-mediated laser surgery simulation for prostate cancer treatment.
Eng. Comput.
Yusheng Feng, David Fuentes, Andrea Hawkins, Jon Bass, Marissa Nichole Rylander, Andrew Elliott, Anil Shetty, R. Jason Stafford, J. Tinsley Oden
2008 — conf
MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques.
BMEI (2)
Yusheng Feng, David Fuentes, Andrea Hawkins, J. Tinsley Oden
2007 Misc conf
Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer.
International Conference on Computational Science (1)
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
2006 Misc conf
Development of a Computational Paradigm for Laser Treatment of Cancer.
International Conference on Computational Science (3)
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