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Open access Oct 2026

MedMCP: An Open Agentic Ecosystem for Medical Imaging Workflows

Deep learning has driven rapid progress in medical image analysis, with methods for tasks such as organ segmentation, anomaly detection, and radiology report generation now matching or surpassing expert performance on several benchmarks. While many methods are released as open source, their routine adoption by clinicia...

Julian McGinnis, Paul Friedrich, Mark Muhlau et al. · 0 citations
Open access Aug 2026

Improved visualization and segmentation of the choroid plexus using double inversion recovery MRI

A 3D nnU-Net model for CP segmentation based on manually labeled DIR masks achieves highly accurate CP segmentation that generalizes across scanners and captures the inferior extent of the C-shaped structure often missed by conventional models.

M. Lauerer, Julian McGinnis, Cornelius Berberich et al. · 0 citations

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