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Mathilde Ripart @mathrip.bsky.social · 25/02/2025

4️⃣ MELD Graph is available open-source on our GitHub (github.com/MELDProject) and can be installed on Linux, Mac and Windows. Check out our YouTube tutorials (www.youtube.com/@MELDproject...)!

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Mathilde Ripart @mathrip.bsky.social · 25/02/2025

3️⃣ Notably, MELD Graph detected 64% of lesions previously missed by radiologists. The MELD reports below show two independent test patients with FCD that were missed by 5/5 expert radiologists.

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Mathilde Ripart @mathrip.bsky.social · 25/02/2025

2️⃣ Incorporating whole brain context significantly boosted model specificity – fewer false positives mean the positive predictive is significantly lower than a baseline Multilayer Perceptron (MLP). Also, the predictions generally look much nicer!

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Mathilde Ripart @mathrip.bsky.social · 25/02/2025

And we’ve wrapped it into one neat package. With one command, MELD Graph processes MRI scans to create an interpretable report that highlights lesion location, describes the lesional features and shares a nicely calibrated confidence score.

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Mathilde Ripart @mathrip.bsky.social · 25/02/2025

1️⃣MELD Graph uses a graph convolutional neural network to segment FCD lesions on the cortical surface. We trained it using the Multicentre Epilepsy Lesion Detection project’s FCD cohort, with 703 epilepsy patients and 482 controls from 23 hospitals around the world.

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Mathilde Ripart @mathrip.bsky.social · 25/02/2025

Very pleased to officially introduce MELD Graph, a novel AI tool for the detection of subtle focal cortical dysplasia (FCD) lesions in epilepsy patients. Check out our paper published in JAMA Neurology yesterday! 😀https://jamanetwork.com/journals/jamaneurology/fullarticle/2830410

jamanetwork.com

Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks

This study evaluates the efficacy and interpretability of graph neural networks in automatically detecting focal cortical dysplasia lesions on magnetic resonance imaging scans.

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