Author

A. Zapaishchykova

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Open access Sep 2026

Charting neuroimaging-based head circumference and cranial shape across development

Quantitative assessment of head growth supports early detection of neurological disease, yet current clinical practice relies on manual measurements that are variable, anatomically limited, and difficult to scale. Here we introduce a fully automated imaging-native framework (CranioTrace) that transforms routine neuroim...

P. Mattisson, A. Mandal, M. Gardner et al. · bioRxiv · 0 citations

Open access Sep 2026

ClinSeg: Robust Brain Segmentation for Clinically Acquired Pediatric MRI

Clinical brain MRIs from pediatric health systems represent a viable resource for modeling early neurodevelopmental trajectories and studying neurodevelopmental risk in real-world populations. However, a limitation to date has been the performance of existing segmentation tools for measuring various brain phenotypes in...

E. Levitis, H. Tregidgo, D. Zimmerman et al. · medRxiv · 0 citations

Open access Aug 2026

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

PURPOSE To develop and validate a pediatric diffuse midline glioma (DMG) auto-segmentation tool optimized for longitudinal treatment response assessment across the disease course. MATERIALS AND METHODS In this multi-institutional retrospective study, we included patients aged 1-30 years with DMG from an institutional...

John Zielke, Francesca Romana Mussa, A. Zapaishchykova et al. · AJNR. American journal of ne... · 0 citations