Browse by UCL people
Group by: Type | Date
Number of items: 9.
Article
Legouhy, A;
Graham, M;
Guerreri, M;
Stee, W;
Villemonteix, T;
Peigneux, P;
Zhang, H;
(2022)
Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning.
Lecture Notes in Computer Science
, 13722
pp. 38-49.
10.1007/978-3-031-21206-2_4.
|
Legouhy, Antoine;
Allen, Luke A;
Vos, Sjoerd B;
Oliveira, Joana FA;
Kassinopoulos, Michalis;
Winston, Gavin P;
Duncan, John S;
... Diehl, Beate; + view all
(2023)
Volumetric and microstructural abnormalities of the amygdala in focal epilepsy with varied levels of SUDEP risk.
Epilepsy Research
, 192
, Article 107139. 10.1016/j.eplepsyres.2023.107139.
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Legouhy, Antoine;
Rousseau, François;
Barillot, Christian;
Commowick, Olivier;
(2022)
An Iterative Centroid Approach for Diffeomorphic Online Atlasing.
IEEE Transactions on Medical Imaging
, 41
(9)
pp. 2521-2531.
10.1109/tmi.2022.3166593.
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Legouhy, A;
Commowick, O;
Proisy, M;
Rousseau, F;
Barillot, C;
(2020)
Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation.
PLOS ONE
, 15
(2)
, Article e0214174. 10.1371/journal.pone.0214174.
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Stee, Whitney;
Legouhy, Antoine;
Guerreri, Michele;
Foti, Michael-Christopher;
Lina, Jean-Marc;
Zhang, Hui;
Peigneux, Philippe;
(2025)
Shaping the structural dynamics of motor learning through cueing during sleep.
Sleep
, 48
(3)
, Article zsaf006. 10.1093/sleep/zsaf006.
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Book chapter
Legouhy, Antoine;
Callaghan, Ross;
Azadbakht, Hojjat;
Zhang, Hui;
(2023)
POLAFFINI: Efficient Feature-Based Polyaffine Initialization for Improved Non-linear Image Registration.
In: Frangi, A and DeBruijne, M and Wassermann, D and Navab, N, (eds.)
Information Processing in Medical Imaging (IPMI 2023).
(pp. 614-625).
Springer, Cham: Cham, Switzerland.
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Proceedings paper
Legouhy, A;
Commowick, O;
Rousseau, F;
Barillot, C;
(2019)
Online atlasing using an iterative centroid.
In:
MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention.
(pp. pp. 366-374).
Springer: Cham, Switzerland.
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Legouhy, A;
Commowick, O;
Rousseau, F;
Barillot, C;
(2019)
Unbiased longitudinal brain atlas creation using robust linear registration and log-Euclidean framework for diffeomorphisms.
In:
Proceedings of the 16th International Symposium on Biomedical Imaging (ISBI 2019) IEEE.
(pp. pp. 1038-1041).
Institute of Electrical and Electronics Engineers (IEEE)
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Thesis
Legouhy, Antoine;
(2020)
Methods for morphological longitudinal brain modeling through atlasing and registration.
Doctoral thesis (Ph.D), L'Université de Rennes 1.
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