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Joseph Lombardo

Showing results (31-40 of 35) with videos related to

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Applied Sciences (Basel, Switzerland)|October 8, 2021
Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and OrgansDimitrios Bounias, Ashish Singh, Spyridon Bakas, et al.
Neuro-Oncology|December 12, 2024
Machine learning-based prognostic subgrouping of glioblastoma: A multicenter studyHamed Akbari, Spyridon Bakas, Chiharu Sako, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications|January 26, 2023
Author Correction: Federated learning enables big data for rare cancer boundary detectionSarthak 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) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
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Showing results (31-40 of 35) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 35 results.
Applied Sciences (Basel, Switzerland)|October 8, 2021
Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and OrgansDimitrios Bounias, Ashish Singh, Spyridon Bakas, et al.
Neuro-Oncology|December 12, 2024
Machine learning-based prognostic subgrouping of glioblastoma: A multicenter studyHamed Akbari, Spyridon Bakas, Chiharu Sako, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications|January 26, 2023
Author Correction: Federated learning enables big data for rare cancer boundary detectionSarthak 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) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
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