Brain micro‐vasculature imaging: An unsupervised deep learning algorithm for segmenting mouse brain volume probed by high‐resolution phase‐contrast X‐ray tomography-Reference-Cited by-同舟云学术

Brain micro‐vasculature imaging: An unsupervised deep learning algorithm for segmenting mouse brain volume probed by high‐resolution phase‐contrast X‐ray tomography

Published:2020-11-15 Issue:3 Volume:31 Page:1211-1220
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Patera Alessandra¹^ORCID,Zippo Antonio G.²,Bonnin Anne³,Stampanoni Marco³⁴,Biella Gabriele E. M.²

Affiliation:

1. Centre d'Imagerie BioMedicale Ecole Polytechnique Federale de Lausanne Lausanne Switzerland

2. Institute of Neuroscience Milan Italy

3. Swiss Light Source Paul Scherrer Institute Villigen Switzerland

4. Institute of Biomedical Engineering University and ETH Zürich Switzerland

Funder

École Polytechnique Fédérale de Lausanne

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22520

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5. Exploring Alzheimer's disease mouse brain through X‐ray phase contrast tomography: from the cell to the organ;Massimi L;Neuroimage,2019

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