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Mostafa Fatemi

Showing results (181-190 of 191) with videos related to

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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.
Journal of Clinical Medicine|November 26, 2022
Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative StudyNarendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan, 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.
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 2.0Mohit Agarwal, Sushant Agarwal, Luca Saba, 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 intelligenceJasjit 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 CohortsJasjit S Suri, Sushant Agarwal, Alessandro Carriero, et al.
Pageof 20

Showing results (181-190 of 191) with videos related to

Sort By:
Pageof 20
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.
Journal of Clinical Medicine|November 26, 2022
Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative StudyNarendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan, 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.
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 2.0Mohit Agarwal, Sushant Agarwal, Luca Saba, 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 intelligenceJasjit 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 CohortsJasjit S Suri, Sushant Agarwal, Alessandro Carriero, et al.
Pageof 20