Author

K. Wagstyl

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Review Open access Oct 2026

MRI-Based Machine Learning to Differentiate True Progression from Pseudoprogression in Glioblastoma: An Updated Systematic Review and Meta-Analysis.

BACKGROUND Differentiating true progression (TP) from pseudoprogression (PsP) after chemoradiation for glioblastoma remains clinically difficult. We evaluated externally validated diagnostic performance of magnetic resonance imaging (MRI)-based machine learning models and appraised study quality and transparency. MET...

Xin Zhang, Xiao-Peng Guo, Yu Wang et al. · Neuro-Oncology · 0 citations

#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. · medRxiv · 0 citations

Open access Jul 2026

AI segmentation requires accounting for brain size to maintain performance on developmental MRI cohorts

Evaluation of the SynthSeg rescale + crop pipeline demonstrated visible and quantitative improvements in segmentation throughout infancy and childhood and facilitate computational analysis of typical and disrupted neurodevelopment.

L. Dorfschmidt, Milly Hang Chi Mak, S. Adler et al. · bioRxiv · 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. · medRxiv · 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. · Epilepsia · 0 citations