Louise Guillon

According to our database, Louise Guillon authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears.

Louise Guillon, Soheib Biga, Axel Puyo, Grégoire Pasquier, Valentin Foucher, Yendoubé E. Kantchire, Stéphane E. Sossou, Ameyo M. Dorkenoo, Laurent Bonnardot, Marc Thellier, Laurence Lachaud, Renaud Piarroux

CoRR, 2024

Optimizing contrastive learning for cortical folding pattern detection.

Aymeric Gaudin, Louise Guillon, Clara Fischer, Arnaud Cachia, Denis Rivière, Jean-François Mangin, Joël Chavas

CoRR, 2024

2023

Rare cortical folding patterns detection based on an unsupervised deep learning approach. (Détection de motifs rares de plissement cortical par une approche de deep learning non supervisée).

Louise Guillon

PhD thesis, 2023

2022

Identification of Rare Cortical Folding Patterns using Unsupervised Deep Learning.

Louise Guillon, Joël Chavas, Audrey Bénézit, Marie-Laure Moutard, Denis Rivière, Jean-François Mangin

CoRR, 2022

Unsupervised Representation Learning of Cingulate Cortical Folding Patterns.

Joël Chavas, Louise Guillon, Marco Pascucci, Benoit Dufumier, Denis Rivière, Jean-François Mangin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models.

Louise Guillon, Bastien Cagna, Benoit Dufumier, Joël Chavas, Denis Rivière, Jean-François Mangin

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021