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PhD thesis

Analyse quantitative du développement cérébral foetal sain et anormal à l’aide de modèles de déformation
Fleur Gaudfernau, under the supervision of Stéphanie Allassonnière and Erwan Le Pennec

Preprints

Wavelet-Based Multiscale Initial Flow For Improved Atlas Estimation in the Large Diffeomorphic Deformation Model Framework
Fleur Gaudfernau, Eléonore Blondiaux, Stéphanie Allassonniere, Erwan Le Pennec

Journal articles

Cortico-Cerebellar Neurodynamics during Social Interaction in Autism Spectrum Disorder
Fleur Gaudfernau, Aline Lefebvre, Denis-Alexander Engemann, Amandine Pedoux, Anna Bánki, Florence Baillin, Benjamin Landman, Frederique Amsellem, Thomas Bourgeron, Richard Delorme, Guillaume Dumas
NeuroImage: Clinical, 2023.
DOI:10.1016/j.nicl.2023.103465

Characteristics associated with feeding organic foods during complementary feeding: the nationwide Étude Longitudinale Française depuis l’Enfance (ELFE) birth cohort
 Blandine de Lauzon-Guillain, Fleur Gaudfernau, Aurore Camier, Camille Davisse-Paturet, Sandrine Lioret, Sophie Nicklaus, Marie-Aline Charles, Emmanuelle Kesse-Guyot
British Journal of Nutrition, Cambridge University Press (CUP), 2021, 126 (8), pp.1215-1224.
DOI:10.1017/S0007114520005097

Conference articles

Un algorithme multiéchelle pour déformer les objets de façon réaliste - application à la modélisation de la croissance du cerveau foetal
Fleur Gaudfernau, Stéphanie Allassonniere, Erwan Le Pennec.
GRETSI 2023, Grenoble

A multiscale algorithm for computing realistic image transformations – Application to the modelling of fetal brain growth
Fleur Gaudfernau, Stéphanie Allassonniere, Erwan Le Pennec.
SPIE Medical Imaging 2023
DOI:10.1117/12.2654259

Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis
Fleur Gaudfernau, Eleonore Blondiaux, Stéphanie Allassonniere
MICCAI 2021 – Perinatal, Preterm and Paediatric Image Analysis Workshop, Oct 2021, Strasbourg.
DOI:10.1007/978-3-030-87735-4_26

Talks

Presentation at the Cocktail scientifique de la plateforme Lumière: Atlas spatiotemporel du cerveau foetal
Presentation at the Paris shape seminar: Multiscale optimisation for shape registration Link to the presentation
Presentation at GRETSI 2023: Un algorithme multiéchelle pour déformer les objets de façon réaliste – application à la modélisation de la croissance du cerveau foetal
Presentation at SPIE Medical Imaging 2023: A multiscale algorithm for computing realistic image transformations in the LDDMM framework – application to the modelling of fetal brain growth Link to the presentation
Presentation at the Decision and Bayesian Computation Lab meeting (Institut Pasteur): Wavelet-based multiscale atlas estimation
Talk at the MICCAI-PIPPI (Perinatal, Preterm and Paedriatric Image Analysis) workshop: Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis drawing - Video of the presentation

Posters

Poster presentation at AI4Health Summer school: A multiscale algorithm for modelling fetal brain growth
Poster presentation at IABM 2023: A multiscale algorithm for modelling fetal brain growth
Poster presentation at FIT'NG 2022: A spatio-temporal atlas of the foetal brain with agenesis of the corpus callosum
Poster presentation at PRAIRIE event: Wavelet-based multiscale atlas estimation

Awards

MICCAI-PIPPI workshop Best Paper Award PIPPI2021_Best_Presentation