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)

Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO2 Plumes via Deep Learning. - Adrian Celaya; Bertrand Denel; Yen Sun; Mauricio Araya-Polo; Antony Price (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)

Joint inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO2 Plumes via Deep Learning. - Adrian Celaya; Mauricio Araya-Polo (CoRR, 2023)

Inversion of Time-Lapse Surface Gravity Data for Detection of 3-D CO2 Plumes via Deep Learning. - Adrian Celaya; Bertrand Denel; Yen Sun; Mauricio Araya-Polo; Antony Price (IEEE Trans. Geosci. Remote. Sens., 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)

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)

Inversion of Time-Lapse Surface Gravity Data for Monitoring of 3D CO2 Plumes via Physics Informed Neural Networks. - Adrian Celaya; Bertrand Denel; Yen Sun; Mauricio Araya-Polo (PP, 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)

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)

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)

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)