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Martin Miner

Showing results (71-80 of 88) with videos related to

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Annals of Translational Medicine|August 25, 2021
Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke applicationLuca Saba, Skandha S Sanagala, Suneet K Gupta, et al.
Computers in Biology and Medicine|September 14, 2020
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0Sanagala S Skandha, Suneet K Gupta, Luca Saba, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction-A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative ReviewNarendra N Khanna, Mahesh Maindarkar, Ajit Saxena, 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.
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)|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.
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)|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.
Pageof 9

Showing results (71-80 of 88) with videos related to

Sort By:
Pageof 9
Annals of Translational Medicine|August 25, 2021
Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke applicationLuca Saba, Skandha S Sanagala, Suneet K Gupta, et al.
Computers in Biology and Medicine|September 14, 2020
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0Sanagala S Skandha, Suneet K Gupta, Luca Saba, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction-A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative ReviewNarendra N Khanna, Mahesh Maindarkar, Ajit Saxena, 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.
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)|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.
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)|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.
Pageof 9