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Keyvan Farahani

Showing results (51-60 of 65) with videos related to

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IEEE Transactions on Medical Imaging|July 15, 2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 ChallengeYoganand Balagurunathan, Andrew Beers, Michael Mcnitt-Gray, et al.
JAMA Network Open|February 23, 2023
A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast TomosynthesisNicholas Konz, Mateusz Buda, Hanxue Gu, et al.
Arxiv|December 18, 2023
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor NetworkAriana M Familiar, Anahita Fathi Kazerooni, Hannah Anderson, et al.
Frontiers in Oncology|September 4, 2018
Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics ChallengesHesham Elhalawani, Timothy A Lin, Stefania Volpe, et al.
Arxiv|July 3, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)</i>Maruf Adewole, Jeffrey D Rudie, Anu Gbdamosi, et al.
Arxiv|August 23, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial MeningiomaDominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, et al.
International Journal of Radiation Oncology, Biology, Physics|May 27, 2023
Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for CancerCharles S Mayo, Mary U Feng, Kristy K Brock, et al.
Nature Communications|July 15, 2022
The Medical Segmentation DecathlonMichela Antonelli, Annika Reinke, Spyridon Bakas, et al.
Arxiv|June 9, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, et al.
Nature Methods|February 12, 2024
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, et al.
Pageof 7

Showing results (51-60 of 65) with videos related to

Sort By:
Pageof 7
IEEE Transactions on Medical Imaging|July 15, 2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 ChallengeYoganand Balagurunathan, Andrew Beers, Michael Mcnitt-Gray, et al.
JAMA Network Open|February 23, 2023
A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast TomosynthesisNicholas Konz, Mateusz Buda, Hanxue Gu, et al.
Arxiv|December 18, 2023
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor NetworkAriana M Familiar, Anahita Fathi Kazerooni, Hannah Anderson, et al.
Frontiers in Oncology|September 4, 2018
Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics ChallengesHesham Elhalawani, Timothy A Lin, Stefania Volpe, et al.
Arxiv|July 3, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)</i>Maruf Adewole, Jeffrey D Rudie, Anu Gbdamosi, et al.
Arxiv|August 23, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial MeningiomaDominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, et al.
International Journal of Radiation Oncology, Biology, Physics|May 27, 2023
Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for CancerCharles S Mayo, Mary U Feng, Kristy K Brock, et al.
Nature Communications|July 15, 2022
The Medical Segmentation DecathlonMichela Antonelli, Annika Reinke, Spyridon Bakas, et al.
Arxiv|June 9, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, et al.
Nature Methods|February 12, 2024
Understanding metric-related pitfalls in image analysis validationAnnika Reinke, Minu D Tizabi, Michael Baumgartner, et al.
Pageof 7