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

John R Laird

Showing results (141-150 of 187) with videos related to

Pageof 19
Sort By:
Diagnostics (Basel, Switzerland)|March 25, 2022
A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative ReviewJasjit S Suri, Mrinalini Bhagawati, Sudip Paul, et al.
Diagnostics (Basel, Switzerland)|October 14, 2023
DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion ImagesPrabhav Sanga, Jaskaran Singh, Arun Kumar Dubey, et al.
Computers in Biology and Medicine|August 24, 2018
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohortElisa Cuadrado-Godia, Md Maniruzzaman, Tadashi Araki, et al.
International Angiology : a Journal of the International Union of Angiology|March 28, 2020
Integration of estimated glomerular filtration rate biomarker in image-based cardiovascular disease/stroke risk calculator: a south Asian-Indian diabetes cohort with moderate chronic kidney diseaseVijay Viswanathan, Ankush D Jamthikar, Deep Gupta, et al.
International Angiology : a Journal of the International Union of Angiology|November 30, 2019
Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited?Luca Saba, Ankush Jamthikar, Deep Gupta, et al.
Computers in Biology and Medicine|October 16, 2020
Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasoundAnkush D Jamthikar, Deep Gupta, Luca Saba, et al.
Rheumatology International|August 29, 2020
Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imagingAnkush D Jamthikar, Deep Gupta, Anudeep Puvvula, et al.
Computers in Biology and Medicine|August 10, 2020
Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for cardiovascular/stroke risk assessmentMainak Biswas, Luca Saba, Shubhro Chakrabartty, et al.
Angiology|July 23, 2020
Does the Carotid Bulb Offer a Better 10-Year CVD/Stroke Risk Assessment Compared to the Common Carotid Artery? A 1516 Ultrasound Scan StudyVijay Viswanathan, Ankush D Jamthikar, Deep Gupta, et al.
Reviews in Cardiovascular Medicine|July 30, 2024
UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative ReviewLuca Saba, Mahesh Maindarkar, Amer M Johri, et al.
Pageof 19

Showing results (141-150 of 187) with videos related to

Sort By:
Pageof 19
Diagnostics (Basel, Switzerland)|March 25, 2022
A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative ReviewJasjit S Suri, Mrinalini Bhagawati, Sudip Paul, et al.
Diagnostics (Basel, Switzerland)|October 14, 2023
DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion ImagesPrabhav Sanga, Jaskaran Singh, Arun Kumar Dubey, et al.
Computers in Biology and Medicine|August 24, 2018
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohortElisa Cuadrado-Godia, Md Maniruzzaman, Tadashi Araki, et al.
International Angiology : a Journal of the International Union of Angiology|March 28, 2020
Integration of estimated glomerular filtration rate biomarker in image-based cardiovascular disease/stroke risk calculator: a south Asian-Indian diabetes cohort with moderate chronic kidney diseaseVijay Viswanathan, Ankush D Jamthikar, Deep Gupta, et al.
International Angiology : a Journal of the International Union of Angiology|November 30, 2019
Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited?Luca Saba, Ankush Jamthikar, Deep Gupta, et al.
Computers in Biology and Medicine|October 16, 2020
Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasoundAnkush D Jamthikar, Deep Gupta, Luca Saba, et al.
Rheumatology International|August 29, 2020
Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imagingAnkush D Jamthikar, Deep Gupta, Anudeep Puvvula, et al.
Computers in Biology and Medicine|August 10, 2020
Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for cardiovascular/stroke risk assessmentMainak Biswas, Luca Saba, Shubhro Chakrabartty, et al.
Angiology|July 23, 2020
Does the Carotid Bulb Offer a Better 10-Year CVD/Stroke Risk Assessment Compared to the Common Carotid Artery? A 1516 Ultrasound Scan StudyVijay Viswanathan, Ankush D Jamthikar, Deep Gupta, et al.
Reviews in Cardiovascular Medicine|July 30, 2024
UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative ReviewLuca Saba, Mahesh Maindarkar, Amer M Johri, et al.
Pageof 19