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Ujjwal Baid

Showing results (21-30 of 29) with videos related to

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Nature Machine Intelligence|May 6, 2024
Federated benchmarking of medical artificial intelligence with MedPerfAlexandros Karargyris, Renato Umeton, Micah J Sheller, et al.
Arxiv|August 23, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Brain MR Image Synthesis for Tumor Segmentation (BraSyn)</i>Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu, et al.
Scientific Data|May 15, 2024
A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentationDominic LaBella, Omaditya Khanna, Shan McBurney-Lin, et al.
Scientific Data|January 27, 2026
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) datasetDominic LaBella, Katherine Schumacher, Michael Mix, et al.
Neuro-Oncology|December 12, 2024
Machine learning-based prognostic subgrouping of glioblastoma: A multicenter studyHamed Akbari, Spyridon Bakas, Chiharu Sako, et al.
The Journal of Machine Learning for Biomedical Imaging|March 31, 2023
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsRaghav Mehta, Angelos Filos, Ujjwal Baid, et al.
Arxiv|July 3, 2023
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRIAhmed W Moawad, Anastasia Janas, Ujjwal Baid, 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|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.
Pageof 3

Showing results (21-30 of 29) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 29 results.
Nature Machine Intelligence|May 6, 2024
Federated benchmarking of medical artificial intelligence with MedPerfAlexandros Karargyris, Renato Umeton, Micah J Sheller, et al.
Arxiv|August 23, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Brain MR Image Synthesis for Tumor Segmentation (BraSyn)</i>Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu, et al.
Scientific Data|May 15, 2024
A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentationDominic LaBella, Omaditya Khanna, Shan McBurney-Lin, et al.
Scientific Data|January 27, 2026
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) datasetDominic LaBella, Katherine Schumacher, Michael Mix, et al.
Neuro-Oncology|December 12, 2024
Machine learning-based prognostic subgrouping of glioblastoma: A multicenter studyHamed Akbari, Spyridon Bakas, Chiharu Sako, et al.
The Journal of Machine Learning for Biomedical Imaging|March 31, 2023
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsRaghav Mehta, Angelos Filos, Ujjwal Baid, et al.
Arxiv|July 3, 2023
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRIAhmed W Moawad, Anastasia Janas, Ujjwal Baid, 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|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.
Pageof 3