Adrian Celaya

17 papers Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
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 — conf
Inversion of Time-Lapse Surface Gravity Data for Monitoring of 3D CO
PP
Adrian Celaya, Bertrand Denel, Yen Sun, Mauricio Araya-Polo
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
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
Inversion of Time-Lapse Surface Gravity Data for Detection of 3-D CO
IEEE Trans. Geosci. Remote. Sens.
Adrian Celaya, Bertrand Denel, Yen Sun, Mauricio Araya-Polo, Antony Price
2023 J jnl
Joint inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO
CoRR
Adrian Celaya, Mauricio Araya-Polo
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
Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO
CoRR
Adrian Celaya, Bertrand Denel, Yen Sun, Mauricio Araya-Polo, Antony Price
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