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Adrian Celaya
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2020 – today
- 2024
- [j3]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) - [c1]Adrian Celaya, Bertrand Denel, Yen Sun, Mauricio Araya-Polo:
Inversion of Time-Lapse Surface Gravity Data for Monitoring of 3D CO2 Plumes via Physics Informed Neural Networks. PP 2024: 1-12 - [i8]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) - 2023
- [j2]Adrian Celaya, Bertrand Denel, Yen Sun, Mauricio Araya-Polo, Antony Price:
Inversion of Time-Lapse Surface Gravity Data for Detection of 3-D CO2 Plumes via Deep Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j1]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 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, Mauricio Araya-Polo:
Joint inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO2 Plumes via Deep Learning. CoRR abs/2310.04430 (2023) - [i4]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
- [i3]Adrian Celaya, Bertrand Denel, Yen Sun, Mauricio Araya-Polo, Antony Price:
Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO2 Plumes via Deep Learning. CoRR abs/2209.02850 (2022) - 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)
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