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S Suri

Showing results (671-680 of 712) with videos related to

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European Review for Medical and Pharmacological Sciences|October 4, 2021
Fetal programming of COVID-19: may the barker hypothesis explain the susceptibility of a subset of young adults to develop severe disease?C Gerosa, G Faa, D Fanni, et al.
Journal of Digital Imaging|June 3, 2021
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence FrameworkMainak Biswas, Luca Saba, Tomaž Omerzu, et al.
European Review for Medical and Pharmacological Sciences|October 18, 2021
Thrombotic sinusoiditis and local diffuse intrasinusoidal coagulation in the liver of subjects affected by COVID-19: the evidence from histology and scanning electron microscopyD Fanni, G Cerrone, L Saba, et al.
International Journal of Computer Assisted Radiology and Surgery|February 3, 2021
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungsLuca Saba, Mohit Agarwal, Anubhav Patrick, et al.
International Angiology : a Journal of the International Union of Angiology|November 25, 2020
Cardiovascular disease and stroke risk assessment in patients with chronic kidney disease using integration of estimated glomerular filtration rate, ultrasonic image phenotypes, and artificial intelligence: a narrative reviewAnkush D Jamthikar, Anudeep Puvvula, Deep Gupta, et al.
Journal of Medical Systems|August 21, 2022
Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 ValidationJasjit S Suri, Sushant Agarwal, Luca Saba, et al.
The International Journal of Cardiovascular Imaging|April 27, 2024
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohortMrinalini Bhagawati, Sudip Paul, Laura Mantella, et al.
Journal of the American Society of Nephrology : JASN|February 25, 2012
Intensive hemodialysis associates with improved survival compared with conventional hemodialysisGihad E Nesrallah, Robert M Lindsay, Meaghan S Cuerden, et al.
Journal of Korean Medical Science|November 28, 2023
Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A ReviewNarendra N Khanna, Manasvi Singh, Mahesh Maindarkar, et al.
Rheumatology International|August 30, 2023
Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative reviewMustafa Al-Maini, Mahesh Maindarkar, George D Kitas, et al.
Pageof 72

Showing results (671-680 of 712) with videos related to

Sort By:
Pageof 72
European Review for Medical and Pharmacological Sciences|October 4, 2021
Fetal programming of COVID-19: may the barker hypothesis explain the susceptibility of a subset of young adults to develop severe disease?C Gerosa, G Faa, D Fanni, et al.
Journal of Digital Imaging|June 3, 2021
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence FrameworkMainak Biswas, Luca Saba, Tomaž Omerzu, et al.
European Review for Medical and Pharmacological Sciences|October 18, 2021
Thrombotic sinusoiditis and local diffuse intrasinusoidal coagulation in the liver of subjects affected by COVID-19: the evidence from histology and scanning electron microscopyD Fanni, G Cerrone, L Saba, et al.
International Journal of Computer Assisted Radiology and Surgery|February 3, 2021
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungsLuca Saba, Mohit Agarwal, Anubhav Patrick, et al.
International Angiology : a Journal of the International Union of Angiology|November 25, 2020
Cardiovascular disease and stroke risk assessment in patients with chronic kidney disease using integration of estimated glomerular filtration rate, ultrasonic image phenotypes, and artificial intelligence: a narrative reviewAnkush D Jamthikar, Anudeep Puvvula, Deep Gupta, et al.
Journal of Medical Systems|August 21, 2022
Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 ValidationJasjit S Suri, Sushant Agarwal, Luca Saba, et al.
The International Journal of Cardiovascular Imaging|April 27, 2024
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohortMrinalini Bhagawati, Sudip Paul, Laura Mantella, et al.
Journal of the American Society of Nephrology : JASN|February 25, 2012
Intensive hemodialysis associates with improved survival compared with conventional hemodialysisGihad E Nesrallah, Robert M Lindsay, Meaghan S Cuerden, et al.
Journal of Korean Medical Science|November 28, 2023
Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A ReviewNarendra N Khanna, Manasvi Singh, Mahesh Maindarkar, et al.
Rheumatology International|August 30, 2023
Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative reviewMustafa Al-Maini, Mahesh Maindarkar, George D Kitas, et al.
Pageof 72