A Longitudinal Study of the Evolution of the Central Sulcus' Shape in Preterm Infants Using Manifold Learning. - Héloïse de Vareilles; Zhongyi Sun 003; Manon J. N. L. Benders; Clara Fischer; François Leroy; Linda S. de Vries; Floris Groenendaal; Denis Rivière; Jessica Dubois; Jean-François Mangin (SUSI/PIPPI@MICCAI, 2019)

Shape variability of the central sulcus in the developing brain: A longitudinal descriptive and predictive study in preterm infants. - Héloïse de Vareilles; Denis Rivière; Zhong-Yi Sun 003; Clara Fischer; François Leroy; Sara Neumane; Nusa Stopar; Rian Eijsermans; Marin Ballu; Maria-Luisa Tataranno; Manon Benders; Jean-François Mangin; et al. (NeuroImage, 2022)

Folding Dynamics in the Very Preterm Brain: Longitudinal Characterization of Sulcal Shape with Developmental and Functional Implications. (Les dynamiques de plissement dans le cerveau très prématuré: Caractérisation longitudinale de la forme des sillons avec implications développementales et fonctionnelles). - Héloïse de Vareilles (2022)

A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition. - Michail Mamalakis; Héloïse de Vareilles; Atheer AI-Manea; Samantha C. Mitchell; Ingrid Agartz; Lynn Egeland Morch-Johnsen; Jane R. Garrison; Jon S. Simons; Pietro Lio; John Suckling; Graham K. Murray (CoRR, 2023)

Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification. - Michail Mamalakis; Héloïse de Vareilles; Shun-Chin Jim Wu; Ingrid Agartz; Lynn Egeland Mørch-Johnsen; Jane R. Garrison; Jon S. Simons; Pietro Lio; John Suckling; Graham K. Murray (CoRR, 2024)

The Explanation Necessity for Healthcare AI. - Michail Mamalakis; Héloïse de Vareilles; Graham K. Murray; Pietro Lio; John Suckling (CoRR, 2024)