E. Louise Thomas

Orcid: 0000-0003-4235-4694

According to our database1, E. Louise Thomas authored at least 11 papers between 2017 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Liver shape analysis using statistical parametric maps at population scale.
BMC Medical Imaging, December, 2024

2023
Artifact-free fat-water separation in Dixon MRI using deep learning.
J. Big Data, 2023

2021
Swap-Free Fat-Water Separation in Dixon MRI using Conditional Generative Adversarial Networks.
CoRR, 2021

Mass Univariate Regression Analysis for Three-Dimensional Liver Image-Derived Phenotypes.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Large-Scale Analysis of Iliopsoas Muscle Volumes in the UK Biobank.
CoRR, 2020

Image Processing and Quality Control for Abdominal Magnetic Resonance Imaging in the UK Biobank.
CoRR, 2020

Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weighted MRI Data.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
A Framework for Automatic Morphological Feature Extraction and Analysis of Abdominal Organs in MRI Volumes.
J. Medical Syst., 2019

Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss Function.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2017
A Framework for Morphological Feature Extraction of Organs from MR Images for Detection and Classification of Abnormalities.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017


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