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F. Mussa

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#artificial intelligence Review Sep 2026

Deep Learning for Longitudinal Medical Imaging: A Scoping Review

Longitudinal medical imaging analysis is a cornerstone of modern medical practice and patient care. Deep learning applied to longitudinal imaging offers wide potential to enhance diagnosis and track disease progression by capturing spatial changes over time. With major advances in single-timepoint deep learning for ima...

F. Mussa, D. Tak, A. Avval et al. · 1 citation
Open access Aug 2026

Improved Deep Learning Segmentation of Pediatric Diffuse Midline Gliomas After Treatment.

Training DMG segmentation models with post-treatment scans substantially improves performance in longitudinal clinical trial imaging, enabling more accurate volumetric tracking and response assessment.

John Zielke, F. Mussa, A. Zapaishchykova et al. · 0 citations

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