Jon Haitz Legarreta

Orcid: 0000-0002-9661-1396

According to our database1, Jon Haitz Legarreta authored at least 15 papers between 2009 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI.
IEEE Trans. Medical Imaging, March, 2024

2023
FIESTA: Autoencoders for accurate fiber segmentation in tractography.
NeuroImage, October, 2023

Generative Sampling in Bundle Tractography using Autoencoders (GESTA).
Medical Image Anal., April, 2023

2022
FIESTA: Autoencoders for accurate fiber segmentation in tractography.
CoRR, 2022

Generative sampling in tractography using autoencoders (GESTA).
CoRR, 2022

Clustering in Tractography Using Autoencoders (CINTA).
Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

2021
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
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NeuroImage, 2021

Filtering in tractography using autoencoders (FINTA).
Medical Image Anal., 2021

2020
Tractography filtering using autoencoders.
CoRR, 2020

2019
Sparse wars: A survey and comparative study of spherical deconvolution algorithms for diffusion MRI.
NeuroImage, 2019

2016
Standard and fenestrated endograft sizing in EVAR planning: Description and validation of a semi-automated 3D software.
Comput. Medical Imaging Graph., 2016

2010
Thrombus Volume Change Visualization after Endovascular Abdominal Aortic Aneurysm Repair.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Hybrid Decision Support System for Endovascular Aortic Aneurysm Repair Follow-Up.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
Stent Graft Change Detection After Endovascular Abdominal Aortic Aneurysm Repair.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Segmentation of Abdominal Aortic Aneurysms in CT Images Using a Radial Model Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009


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