Segmentations of the core of the acoustic radiation in HCP data
DOI10.5281/zenodo.7052849Zenodo7052849MaRDI QIDQ6702969
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 6 September 2022
Copyright license: No records found.
Description of the repository: The goal of our paper (https://doi.org/10.3389/fneur.2022.934650) was to segment the acoustic radiation (AR), one of the most important white matter fiber bundlesofthe hearing system.This repository contains the segmentations masksof the ARwe created from 105 subjects of the Human Connectome Project (HCP) young adult dataset (https://www.humanconnectome.org/study/hcp-young-adult). These subjects are exactly the same used by Wasserthal et al. (2018)https://doi.org/10.1016/j.neuroimage.2018.07.070. In the file data_training.tar.gz, one directory was created per HCPsubject. Every directory contains the file bundle_masks_AR.nii.gz that contains the binary masks for the left and right AR. In our paper, we used these masks to train TractSeg. The filebest_weights_ep110.npzcontains theweights after training TractSeg that can be used in inference fortargeting the AR. For using these weights on new data, one can use TractSeg with the option --exp_name best_weights_ep110.npz. Please read the documentation of TractSeg and our paper for more information. If you use the training data or the pre-trained network, please cite our publication: Malin Siegbahn, Cecilia Engmr Berglin, Rodrigo Moreno. Automatic segmentation of the core of the acoustic radiation in humans. Frontiers in Neurology (2022) 13:934650. doi: 10.3389/fneur.2022.934650
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