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Neuroimaging Clinics of North America
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October 11, 2020
Machine Learning Algorithm Validation: From Essentials to Advanced Applications and Implications for Regulatory Certification and Deployment
Farhad 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 Oncology
Reza Forghani, Peter Savadjiev, Avishek Chatterjee, et al.
Neuroimaging Clinics of North America
|
October 11, 2020
Brief History of Artificial Intelligence
Nikesh 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 lymphadenitis
Yarab 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 Envelope
Thiparom 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 Lymphoma
Raoul 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 Lymphadenopathy
Matthew 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 Surgery
Marco 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 Models
Xiaoyang Liu, Farhad Maleki, Nikesh Muthukrishnan, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Neuroimaging Clinics of North America
|
October 11, 2020
Machine Learning Algorithm Validation: From Essentials to Advanced Applications and Implications for Regulatory Certification and Deployment
Farhad 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 Oncology
Reza Forghani, Peter Savadjiev, Avishek Chatterjee, et al.
Neuroimaging Clinics of North America
|
October 11, 2020
Brief History of Artificial Intelligence
Nikesh 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 lymphadenitis
Yarab 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 Envelope
Thiparom 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 Lymphoma
Raoul 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 Lymphadenopathy
Matthew 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 Surgery
Marco 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 Models
Xiaoyang Liu, Farhad Maleki, Nikesh Muthukrishnan, et al.
Page
of 1