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Bioinformatics (Oxford, England)
|
February 15, 2014
A benchmark for comparison of cell tracking algorithms
Martin Maška, Vladimír Ulman, David Svoboda, et al.
Nature Methods
|
October 31, 2017
An objective comparison of cell-tracking algorithms
Vladimír Ulman, Martin Maška, Klas E G Magnusson, et al.
Nature Methods
|
May 18, 2023
The Cell Tracking Challenge: 10 years of objective benchmarking
Martin Maška, Vladimír Ulman, Pablo Delgado-Rodriguez, et al.
Nature Communications
|
December 5, 2022
Federated learning enables big data for rare cancer boundary detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications
|
July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Maximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
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of 3
Search research articles
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Showing results (21-30 of 25) with videos related to
Sort By:
Page
of 3
You have reached the last page of results.
This site can display upto 25 results.
Bioinformatics (Oxford, England)
|
February 15, 2014
A benchmark for comparison of cell tracking algorithms
Martin Maška, Vladimír Ulman, David Svoboda, et al.
Nature Methods
|
October 31, 2017
An objective comparison of cell-tracking algorithms
Vladimír Ulman, Martin Maška, Klas E G Magnusson, et al.
Nature Methods
|
May 18, 2023
The Cell Tracking Challenge: 10 years of objective benchmarking
Martin Maška, Vladimír Ulman, Pablo Delgado-Rodriguez, et al.
Nature Communications
|
December 5, 2022
Federated learning enables big data for rare cancer boundary detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications
|
July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Maximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Page
of 3