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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Research datakeyboard_double_arrow_right Dataset 19 Sep 2025Publisher:Zenodo
Authors: Oliva Maza, Laura; Steidle, Florian; Klodmann, Julian; Strobl, Klaus H.; Miernik, Arkadiusz; Triebel, Rudolph;

doi: 10.5281/zenodo.17083877 , 10.5281/zenodo.14893420 , 10.5281/zenodo.17294033

KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Abstract

KidneyDepth is a dataset composed by synthetic ureteroscopic images generated by BlenderProc and real ureteroscopic images. The objectives of this dataset are to generate ground truth maps for fine-tuning and evaluating metric depth estimation models (KidneyDepthMetric), to visually evaluate them on real endoscopic kidney images (KidneyDepthfURS), and to evaluate the estimated trajectories of a SLAM system (KidneyDepthSLAM).

Related Organizations
Keywords

SLAM, Ureteroscopy, Metric Depth Estimation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average