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Simukayi Mutasa

Showing results (1-10 of 37) with videos related to

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Chronic Obstructive Pulmonary Diseases (Miami, Fla.)|August 30, 2017
Images in COPD: Bullous Emphysema with MycetomaSimukayi Mutasa
Radiologic Clinics of North America|October 25, 2021
Clinical Artificial Intelligence Applications: MusculoskeletalSimukayi Mutasa, Paul H Yi
Skeletal Radiology|June 30, 2021
Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started?Simukayi Mutasa, Paul H Yi
Clinical Imaging|July 13, 2021
Understanding artificial intelligence based radiology studies: CNN architectureSimukayi Mutasa, Shawn Sun, Richard Ha
Clinical Imaging|May 11, 2020
Understanding artificial intelligence based radiology studies: What is overfitting?Simukayi Mutasa, Shawn Sun, Richard Ha
Skeletal Radiology|August 5, 2021
AI MSK clinical applications: orthopedic implantsPaul H Yi, Simukayi Mutasa, Jan Fritz
AJR. American Journal of Roentgenology|August 16, 2019
Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018Elizabeth West, Simukayi Mutasa, Zelos Zhu, et al.
Journal of Digital Imaging|February 7, 2018
MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age LabelingSimukayi Mutasa, Peter D Chang, Carrie Ruzal-Shapiro, et al.
The Laryngoscope|January 23, 2014
Genetic dysregulation in recurrent respiratory papillomatosisRegina Rodman, Simukayi Mutasa, Crystal Dupuis, et al.
Journal of Imaging Informatics in Medicine|May 6, 2024
Gradient-Based Saliency Maps Are Not Trustworthy Visual Explanations of Automated AI Musculoskeletal DiagnosesKesavan Venkatesh, Simukayi Mutasa, Fletcher Moore, et al.
Pageof 4

Showing results (1-10 of 37) with videos related to

Sort By:
Pageof 4
Chronic Obstructive Pulmonary Diseases (Miami, Fla.)|August 30, 2017
Images in COPD: Bullous Emphysema with MycetomaSimukayi Mutasa
Radiologic Clinics of North America|October 25, 2021
Clinical Artificial Intelligence Applications: MusculoskeletalSimukayi Mutasa, Paul H Yi
Skeletal Radiology|June 30, 2021
Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started?Simukayi Mutasa, Paul H Yi
Clinical Imaging|July 13, 2021
Understanding artificial intelligence based radiology studies: CNN architectureSimukayi Mutasa, Shawn Sun, Richard Ha
Clinical Imaging|May 11, 2020
Understanding artificial intelligence based radiology studies: What is overfitting?Simukayi Mutasa, Shawn Sun, Richard Ha
Skeletal Radiology|August 5, 2021
AI MSK clinical applications: orthopedic implantsPaul H Yi, Simukayi Mutasa, Jan Fritz
AJR. American Journal of Roentgenology|August 16, 2019
Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018Elizabeth West, Simukayi Mutasa, Zelos Zhu, et al.
Journal of Digital Imaging|February 7, 2018
MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age LabelingSimukayi Mutasa, Peter D Chang, Carrie Ruzal-Shapiro, et al.
The Laryngoscope|January 23, 2014
Genetic dysregulation in recurrent respiratory papillomatosisRegina Rodman, Simukayi Mutasa, Crystal Dupuis, et al.
Journal of Imaging Informatics in Medicine|May 6, 2024
Gradient-Based Saliency Maps Are Not Trustworthy Visual Explanations of Automated AI Musculoskeletal DiagnosesKesavan Venkatesh, Simukayi Mutasa, Fletcher Moore, et al.
Pageof 4