Computational Morphometry of Peripheral Nerves: A Pipeline Perspective on Reproducibility and Generalization.

Saved in:
Bibliographic Details
Title: Computational Morphometry of Peripheral Nerves: A Pipeline Perspective on Reproducibility and Generalization.
Authors: Spalińska A; Department of Biostatistics and Research Methodology, Faculty of Medicine, Cardinal Stefan Wyszyński University, Warsaw, Poland. a.slubowska@uksw.edu.pl., Kopka M; Department of Research Methodology, Faculty of Medicine, Medical University of Warsaw, Warsaw, Poland., Kopka K; Department of Research Methodology, Faculty of Medicine, Medical University of Warsaw, Warsaw, Poland., Pascal W; Department of Research Methodology, Faculty of Medicine, Medical University of Warsaw, Warsaw, Poland., Spaliński K; Department of CAD/CAM Systems Design, Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland., Jasionowska-Skop M; Department of CAD/CAM Systems Design, Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland., Przelaskowski A; Department of CAD/CAM Systems Design, Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.
Source: Neuroinformatics [Neuroinformatics] 2026 Jun 10; Vol. 24 (2). Date of Electronic Publication: 2026 Jun 10.
Publication Type: Journal Article; Review
Journal Info: Publisher: Humana Press, Inc Country of Publication: United States NLM ID: 101142069 Publication Model: Electronic Cited Medium: Internet ISSN: 1559-0089 (Electronic) Linking ISSN: 15392791 NLM ISO Abbreviation: Neuroinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1559-0089
DOI:10.1007/s12021-026-09777-2