Louise Guillon

Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears

Malaria remains a significant global health challenge, necessitating rapid and accurate diagnostic methods. While computer-aided diagnosis (CAD) tools utilizing deep learning have shown promise,...

Identification of Rare Cortical Folding Patterns using Unsupervised Deep Learning

Like fingerprints, cortical folding patterns are unique to each brain even though they follow a general species-specific organization. Some folding patterns have been linked with...

Towards Field-Ready AI-Based Malaria Diagnosis: A Continual Learning Approach

Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models

Unsupervised Representation Learning of Cingulate Cortical Folding Patterns

Towards Field-Ready AI-based Malaria Diagnosis: A Continual Learning Approach

Malaria remains a major global health challenge, particularly in low-resource settings where access to expert microscopy may be limited. Deep learning-based computer-aided diagnosis (CAD) systems...

Optimizing contrastive learning for cortical folding pattern detection

The human cerebral cortex has many bumps and grooves called gyri and sulci. Even though there is a high inter-individual consistency for the main cortical folds, this is not the case when we...