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R Krishnan

Showing results (681-690 of 695) with videos related to

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Thorax|June 22, 2016
Latrophilin receptors: novel bronchodilator targets in asthmaA Faiz, C Donovan, M Ae Nieuwenhuis, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Brain age identification from diffusion MRI synergistically predicts neurodegenerative diseaseChenyu Gao, Michael E Kim, Karthik Ramadass, et al.
Archives of General Psychiatry|March 7, 2002
National Depressive and Manic-Depressive Association consensus statement on the use of placebo in clinical trials of mood disordersDennis S Charney, Charles B Nemeroff, Lydia Lewis, 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.
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.
Pageof 70

Showing results (681-690 of 695) with videos related to

Sort By:
Pageof 70
Thorax|June 22, 2016
Latrophilin receptors: novel bronchodilator targets in asthmaA Faiz, C Donovan, M Ae Nieuwenhuis, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Brain age identification from diffusion MRI synergistically predicts neurodegenerative diseaseChenyu Gao, Michael E Kim, Karthik Ramadass, et al.
Archives of General Psychiatry|March 7, 2002
National Depressive and Manic-Depressive Association consensus statement on the use of placebo in clinical trials of mood disordersDennis S Charney, Charles B Nemeroff, Lydia Lewis, 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.
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.
Pageof 70