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

Azra Alizad

Showing results (121-130 of 135) with videos related to

Pageof 14
Sort By:
Diagnostics (Basel, Switzerland)|June 10, 2023
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing FrameworkArun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, et al.
Healthcare (Basel, Switzerland)|December 23, 2022
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. TreatmentNarendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan, et al.
Diagnostics (Basel, Switzerland)|August 27, 2021
COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence ModelsJasjit S Suri, Sushant Agarwal, Rajesh Pathak, et al.
Frontiers in Bioscience (Landmark Edition)|December 3, 2021
Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: a narrative reviewSmiksha Munjral, Puneet Ahluwalia, Ankush D Jamthikar, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed TomographyJasjit S Suri, Sushant Agarwal, Pranav Elavarthi, et al.
Computers in Biology and Medicine|September 12, 2020
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A reviewJasjit S Suri, Anudeep Puvvula, Mainak Biswas, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
COVLIAS 1.0<sub>Lesion</sub> vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography ScansJasjit S Suri, Sushant Agarwal, Gian Luca Chabert, et al.
Diagnostics (Basel, Switzerland)|June 24, 2022
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography ScansJasjit S Suri, Sushant Agarwal, Gian Luca Chabert, et al.
Journal of Cardiovascular Development and Disease|August 25, 2022
Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special ReportNarendra N Khanna, Mahesh Maindarkar, Anudeep Puvvula, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson's Disease Affected by COVID-19: A Narrative ReviewJasjit S Suri, Mahesh A Maindarkar, Sudip Paul, et al.
Pageof 14

Showing results (121-130 of 135) with videos related to

Sort By:
Pageof 14
Diagnostics (Basel, Switzerland)|June 10, 2023
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing FrameworkArun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, et al.
Healthcare (Basel, Switzerland)|December 23, 2022
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. TreatmentNarendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan, et al.
Diagnostics (Basel, Switzerland)|August 27, 2021
COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence ModelsJasjit S Suri, Sushant Agarwal, Rajesh Pathak, et al.
Frontiers in Bioscience (Landmark Edition)|December 3, 2021
Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: a narrative reviewSmiksha Munjral, Puneet Ahluwalia, Ankush D Jamthikar, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed TomographyJasjit S Suri, Sushant Agarwal, Pranav Elavarthi, et al.
Computers in Biology and Medicine|September 12, 2020
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A reviewJasjit S Suri, Anudeep Puvvula, Mainak Biswas, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
COVLIAS 1.0<sub>Lesion</sub> vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography ScansJasjit S Suri, Sushant Agarwal, Gian Luca Chabert, et al.
Diagnostics (Basel, Switzerland)|June 24, 2022
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography ScansJasjit S Suri, Sushant Agarwal, Gian Luca Chabert, et al.
Journal of Cardiovascular Development and Disease|August 25, 2022
Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special ReportNarendra N Khanna, Mahesh Maindarkar, Anudeep Puvvula, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson's Disease Affected by COVID-19: A Narrative ReviewJasjit S Suri, Mahesh A Maindarkar, Sudip Paul, et al.
Pageof 14