Marmoset Brain Dataset for Image Registration Benchmarking

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Authors: Henrik Skibbe, Michał Byra, Akiya Watakabe, Tetsuo Yamamori, Marco Reisert
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Abstract

This dataset contains both the original marmoset brain images and their affine and translated aligned counterparts, specifically processed for image registration benchmarking. Source Data Attribution: This dataset is a derivative work based on the original marmoset brain image dataset available at the RIKEN Neuro-Data repository (https://neurodata.riken.jp/id/20230630-001). The original data was created by the authors of the paper "The Brain/MINDS Marmoset Connectivity Resource: an open access platform for cellular-level tracing and tractography in the primate brain" [1] and is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Modifications: The original images were modified by applying affine and translated alignments to serve as a benchmark for registration algorithms. This derived dataset is also released under CC BY 4.0. References: [1] The Brain/MINDS Marmoset Connectivity Resource: An open-access platform for cellular-level tracing and tractography in the primate brain Henrik Skibbe, Muhammad Febrian Rachmadi, Ken Nakae, Carlos Enrique Gutierrez, Junichi Hata, Hiromichi Tsukada, Charissa Poon, Matthias Schlachter, Kenji Doya, Piotr Majka, Marcello GP Rosa, Hideyuki Okano, Tetsuo Yamamori, Shin Ishii, Marco Reisert, Akiya Watakabe PLoS biology, 2023 DOI: https://doi.org/10.1371/journal.pbio.3002158

Fields of Study & Subjects

Medical Image Segmentation Techniques Cell Image Analysis Techniques Retinal Imaging and Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 March 2026
Language
EN
Document type
Dataset