HippUnfold nnU-Net v2 segmentation model trained using the Clark and Maguire dataset

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Nima Talaei
DOI: 10.5281/zenodo.18432750
Cited by: 0

Abstract

An nnU-Net v2 model trained on a subset of high-resolution T2-weighted MRI scans from the Clark & Maguire dataset to perform automated hippocampal tissue segmentation within the HippUnfold pipeline.

Fields of Study & Subjects

Medical Image Segmentation Techniques Brain Tumor Detection and Classification Medical Imaging and Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Document type
Dataset