This paper introduces ELSI-Net, a deep learning method for automated Locus Coeruleus segmentation and feature extraction in aging and Alzheimer's Disease dementia, showing high agreement with manual ratings and correlations to CSF biomarkers.

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · Apr 1, 2025Peer-reviewedBioinformatics

Overcoming the Reproducibility Crisis - Results of the first Community Survey of the German National Research Data Infrastructure for Neuroscience.

Carsten M. Klingner, Michael Denker, Sonja Grün, Michael Hanke, Steffen Oeltze‐Jafra, Frank W. Ohl, Janina Radny, Stefan Rotter, Hansjörg Scherberger, Alexandra Stein, Thomas Wächtler, Otto Wilhelm Witte, Petra Ritter

A survey of the German neuroscience community identifies key barriers to reproducible research and outlines strategies for improving research data management.

bioRxiv · Apr 7, 2022 · PreprintNeuroscience

Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites

Florian Dubost, Max Dünnwald, Denver Huff, Vincent Scheumann, Frank Schreiber, Meike Willemijn Vernooij, Wiro J. Niessen, Martin Skalej, Stefanie Schreiber, Steffen Oeltze‐Jafra, Marleen de Bruijne

This paper evaluates two automated methods for quantifying enlarged perivascular spaces in clinical MRI scans across multiple sites, finding one method achieves correlation with visual scoring comparable to inter-rater agreement in some regions.

Lecture notes in computer science · Jan 1, 2019Peer-reviewedNeuroscience