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Diagnostics (Basel, Switzerland)
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June 24, 2022
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans
Jasjit 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 Report
Narendra 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 Review
Jasjit S Suri, Mahesh A Maindarkar, Sudip Paul, et al.
Reviews in Cardiovascular Medicine
|
January 3, 2021
Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence
Jasjit S Suri, Anudeep Puvvula, Misha Majhail, et al.
Computers in Biology and Medicine
|
February 7, 2021
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence
Jasjit S Suri, Sushant Agarwal, Suneet K Gupta, et al.
Diagnostics (Basel, Switzerland)
|
December 24, 2021
COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts
Jasjit S Suri, Sushant Agarwal, Alessandro Carriero, et al.
Diagnostics (Basel, Switzerland)
|
May 28, 2022
Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review
Smiksha Munjral, Mahesh Maindarkar, Puneet Ahluwalia, et al.
Computers in Biology and Medicine
|
June 25, 2022
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0
Mohit Agarwal, Sushant Agarwal, Luca Saba, et al.
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Showing results (81-90 of 88) with videos related to
Sort By:
Page
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You have reached the last page of results.
This site can display upto 88 results.
Diagnostics (Basel, Switzerland)
|
June 24, 2022
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans
Jasjit 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 Report
Narendra 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 Review
Jasjit S Suri, Mahesh A Maindarkar, Sudip Paul, et al.
Reviews in Cardiovascular Medicine
|
January 3, 2021
Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence
Jasjit S Suri, Anudeep Puvvula, Misha Majhail, et al.
Computers in Biology and Medicine
|
February 7, 2021
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence
Jasjit S Suri, Sushant Agarwal, Suneet K Gupta, et al.
Diagnostics (Basel, Switzerland)
|
December 24, 2021
COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts
Jasjit S Suri, Sushant Agarwal, Alessandro Carriero, et al.
Diagnostics (Basel, Switzerland)
|
May 28, 2022
Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review
Smiksha Munjral, Mahesh Maindarkar, Puneet Ahluwalia, et al.
Computers in Biology and Medicine
|
June 25, 2022
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0
Mohit Agarwal, Sushant Agarwal, Luca Saba, et al.
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of 9