Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Nikesh Muthukrishnan

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Neuroimaging Clinics of North America|October 11, 2020
Machine Learning Algorithm Validation: From Essentials to Advanced Applications and Implications for Regulatory Certification and DeploymentFarhad Maleki, Nikesh Muthukrishnan, Katie Ovens, et al.
Computational and Structural Biotechnology Journal|August 8, 2019
Radiomics and Artificial Intelligence for Biomarker and Prediction Model Development in OncologyReza Forghani, Peter Savadjiev, Avishek Chatterjee, et al.
Neuroimaging Clinics of North America|October 11, 2020
Brief History of Artificial IntelligenceNikesh Muthukrishnan, Farhad Maleki, Katie Ovens, et al.
Scientific Reports|February 23, 2022
Radiomics and machine learning for the diagnosis of pediatric cervical non-tuberculous mycobacterial lymphadenitisYarab Al Bulushi, Christine Saint-Martin, Nikesh Muthukrishnan, et al.
Neuroimaging Clinics of North America|July 1, 2020
Dual Energy Computed Tomography in Head and Neck Imaging: Pushing the EnvelopeThiparom Sananmuang, Mohit Agarwal, Farhad Maleki, et al.
Translational Oncology|August 3, 2021
CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell LymphomaRaoul Santiago, Johanna Ortiz Jimenez, Reza Forghani, et al.
Computational and Structural Biotechnology Journal|August 14, 2019
Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical LymphadenopathyMatthew Seidler, Behzad Forghani, Caroline Reinhold, et al.
The Annals of Otology, Rhinology, and Laryngology|August 21, 2021
Above and Beyond Age: Prediction of Major Postoperative Adverse Events in Head and Neck SurgeryMarco A Mascarella, Nikesh Muthukrishnan, Farhad Maleki, et al.
Cancers|August 7, 2021
Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning ModelsXiaoyang Liu, Farhad Maleki, Nikesh Muthukrishnan, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Neuroimaging Clinics of North America|October 11, 2020
Machine Learning Algorithm Validation: From Essentials to Advanced Applications and Implications for Regulatory Certification and DeploymentFarhad Maleki, Nikesh Muthukrishnan, Katie Ovens, et al.
Computational and Structural Biotechnology Journal|August 8, 2019
Radiomics and Artificial Intelligence for Biomarker and Prediction Model Development in OncologyReza Forghani, Peter Savadjiev, Avishek Chatterjee, et al.
Neuroimaging Clinics of North America|October 11, 2020
Brief History of Artificial IntelligenceNikesh Muthukrishnan, Farhad Maleki, Katie Ovens, et al.
Scientific Reports|February 23, 2022
Radiomics and machine learning for the diagnosis of pediatric cervical non-tuberculous mycobacterial lymphadenitisYarab Al Bulushi, Christine Saint-Martin, Nikesh Muthukrishnan, et al.
Neuroimaging Clinics of North America|July 1, 2020
Dual Energy Computed Tomography in Head and Neck Imaging: Pushing the EnvelopeThiparom Sananmuang, Mohit Agarwal, Farhad Maleki, et al.
Translational Oncology|August 3, 2021
CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell LymphomaRaoul Santiago, Johanna Ortiz Jimenez, Reza Forghani, et al.
Computational and Structural Biotechnology Journal|August 14, 2019
Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical LymphadenopathyMatthew Seidler, Behzad Forghani, Caroline Reinhold, et al.
The Annals of Otology, Rhinology, and Laryngology|August 21, 2021
Above and Beyond Age: Prediction of Major Postoperative Adverse Events in Head and Neck SurgeryMarco A Mascarella, Nikesh Muthukrishnan, Farhad Maleki, et al.
Cancers|August 7, 2021
Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning ModelsXiaoyang Liu, Farhad Maleki, Nikesh Muthukrishnan, et al.
Pageof 1