Adrian Celaya

Orcid: 0000-0003-0041-7239

According to our database1, Adrian Celaya authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework.
CoRR, 2024

Solutions to elliptic and parabolic problems via finite difference based unsupervised small linear convolutional neural networks.
Comput. Math. Appl., 2024

Inversion of Time-Lapse Surface Gravity Data for Monitoring of 3D CO<sub>2</sub> Plumes via Physics Informed Neural Networks.
Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing, 2024

2023
PocketNet: A Smaller Neural Network for Medical Image Analysis.
IEEE Trans. Medical Imaging, April, 2023

Inversion of Time-Lapse Surface Gravity Data for Detection of 3-D CO<sub>2</sub> Plumes via Deep Learning.
IEEE Trans. Geosci. Remote. Sens., 2023

Joint inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO<sub>2</sub> Plumes via Deep Learning.
CoRR, 2023

FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation.
CoRR, 2023

A Weighted Normalized Boundary Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation.
CoRR, 2023

2022
Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO<sub>2</sub> Plumes via Deep Learning.
CoRR, 2022

2021
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy.
CoRR, 2021

PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation.
CoRR, 2021


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