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John R Laird

Showing results (131-140 of 187) with videos related to

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Medical & Biological Engineering & Computing|April 17, 2019
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0Narendra N Khanna, Ankush D Jamthikar, Deep Gupta, et al.
Current Atherosclerosis Reports|January 27, 2019
Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue CharacterizationNarendra N Khanna, Ankush D Jamthikar, Deep Gupta, et al.
Scientific Reports|March 27, 2024
GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotidesJaskaran Singh, Narendra N Khanna, Ranjeet K Rout, et al.
Cardiovascular Diagnosis and Therapy|September 24, 2020
Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning modelsAnkush Jamthikar, Deep Gupta, Luca Saba, et al.
Circulation|May 1, 2002
Incidence, morphology, angiographic findings, and outcomes of intramural hematomas after percutaneous coronary interventions: an intravascular ultrasound studyAkiko Maehara, Gary S Mintz, Anh B Bui, et al.
Diagnostics (Basel, Switzerland)|September 14, 2024
Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial DataMrinalini Bhagawati, Sudip Paul, Laura Mantella, et al.
Computers in Biology and Medicine|January 16, 2022
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind reviewJasjit S Suri, Mrinalini Bhagawati, Sudip Paul, et al.
Medical & Biological Engineering & Computing|February 6, 2021
Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer applicationMohit Agarwal, Luca Saba, Suneet K Gupta, et al.
European Journal of Radiology|April 22, 2019
The present and future of deep learning in radiologyLuca Saba, Mainak Biswas, Venkatanareshbabu Kuppili, et al.
Rheumatology International|January 11, 2022
Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patientsGeorge Konstantonis, Krishna V Singh, Petros P Sfikakis, et al.
Pageof 19

Showing results (131-140 of 187) with videos related to

Sort By:
Pageof 19
Medical & Biological Engineering & Computing|April 17, 2019
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0Narendra N Khanna, Ankush D Jamthikar, Deep Gupta, et al.
Current Atherosclerosis Reports|January 27, 2019
Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue CharacterizationNarendra N Khanna, Ankush D Jamthikar, Deep Gupta, et al.
Scientific Reports|March 27, 2024
GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotidesJaskaran Singh, Narendra N Khanna, Ranjeet K Rout, et al.
Cardiovascular Diagnosis and Therapy|September 24, 2020
Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning modelsAnkush Jamthikar, Deep Gupta, Luca Saba, et al.
Circulation|May 1, 2002
Incidence, morphology, angiographic findings, and outcomes of intramural hematomas after percutaneous coronary interventions: an intravascular ultrasound studyAkiko Maehara, Gary S Mintz, Anh B Bui, et al.
Diagnostics (Basel, Switzerland)|September 14, 2024
Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial DataMrinalini Bhagawati, Sudip Paul, Laura Mantella, et al.
Computers in Biology and Medicine|January 16, 2022
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind reviewJasjit S Suri, Mrinalini Bhagawati, Sudip Paul, et al.
Medical & Biological Engineering & Computing|February 6, 2021
Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer applicationMohit Agarwal, Luca Saba, Suneet K Gupta, et al.
European Journal of Radiology|April 22, 2019
The present and future of deep learning in radiologyLuca Saba, Mainak Biswas, Venkatanareshbabu Kuppili, et al.
Rheumatology International|January 11, 2022
Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patientsGeorge Konstantonis, Krishna V Singh, Petros P Sfikakis, et al.
Pageof 19