The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data

Author:

Schmelzle Sebastian,van de Kamp Thomas,Heethoff Michael,Heuveline Vincent,Lösel Philipp,Becker Jürgen,Beckmann Felix,Schluenzen Frank,Hammel Jörg U.,Kopmann Andreas,Mexner Wolfgang,Vogelgesang Matthias,Jerome Nicholas T.,Betz Oliver,Beutel Rolf,Wipfler Benjamin,Blanke Alexander,Harzsch Steffen,Hörnig Marie,Baumbach Tilo

Publisher

SPIE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. How many specimens make a sufficient training set for automated 3D feature extraction?;2024-01-12

2. Low-latency Visual Previews of Large Synchrotron Micro-CT Datasets;2023 IEEE International Conference on Big Data (BigData);2023-12-15

3. Automated segmentation of insect anatomy from micro‐CT images using deep learning;Natural Sciences;2023-09-19

4. Digital Visual Exploration Library;Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications;2018

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