High-Throughput Glomeruli Analysis of micro-CT Kidney Images Using Tree Priors and Scalable Sparse Computation
- DOI
- 10.7892/boris.97769
- Published
- 2016
- Container
- Not recorded
- Publisher
- University of Bern
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.7892/boris.97769,
title = {High-Throughput Glomeruli Analysis of micro-CT Kidney Images Using Tree Priors and Scalable Sparse Computation},
author = {Correa Shokiche, Carlos and Baumann, Philipp and Hlushchuk, Ruslan and Djonov, Valentin Georgiev and Reyes Aguirre, Mauricio Antonio},
year = {2016},
doi = {10.7892/boris.97769},
url = {https://doi.org/10.7892/boris.97769}
}RIS
TY - JOUR TI - High-Throughput Glomeruli Analysis of micro-CT Kidney Images Using Tree Priors and Scalable Sparse Computation AU - Correa Shokiche, Carlos AU - Baumann, Philipp AU - Hlushchuk, Ruslan AU - Djonov, Valentin Georgiev AU - Reyes Aguirre, Mauricio Antonio PY - 2016 DO - 10.7892/boris.97769 UR - https://doi.org/10.7892/boris.97769 ER -
APA
Carlos, C. S., Philipp, B., Ruslan, H., Georgiev, D. V., & Antonio, R. A. M. (2016). High-Throughput Glomeruli Analysis of micro-CT Kidney Images Using Tree Priors and Scalable Sparse Computation. https://doi.org/10.7892/boris.97769
Source records
- datacite · retrieved 2026-09-25T15:17:07.998Z