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M. Ripart

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#graph neural networks Review Open access Oct 2026

Multi-centre validation of MELD-graph for automated focal cortical dysplasia detection using 7T compared to paired 3T MRI

Background: Software tools can support MRI diagnosis of focal cortical dysplasias (FCDs) - subtle, surgically-treatable lesions that underlie drug-resistant focal epilepsy (DRFE). MELD-graph, a widely used open-source tool combining surface-based morphometry with a convolutional neural network, was developed using 1.5T...

C. Kronlage, M. Ripart, R. Piper et al. · 0 citations
Open access Aug 2026

Automated hippocampal sclerosis detection, using AID-HS, shows robust performance across multi-centre paired 7T and 3T MRI

Background: Hippocampal sclerosis (HS) is a common cause of drug-resistant focal epilepsy (DRFE) and amenable to neurosurgical treatment. Detection relies on MRI but can be challenging. 7 Tesla (T) ultra-high field MRI and automated MRI post-processing tools have independently been shown to improve radiological diagnos...

C. Kronlage, M. Ripart, R. Piper et al. · 0 citations
Review Open access Sep 2026

9.4-Tesla magnetic resonance imaging in focal epilepsy patients with high-resolution surface-based profiling of focal cortical dysplasias.

UHF T2*-weighted sequences may be useful to detect the black line sign and thereby refine surgical or ablation targeting for some FCDs and may improve diagnostic yield of 9.4-Tesla MRI.

Cornelius Kronlage, Pascal Martin, Benjamin Bender et al. · 0 citations

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