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John R Laird

Showing results (121-130 of 187) with videos related to

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Computers in Biology and Medicine|February 11, 2026
Identification of high-risk genes and classification of acute myocardial infarction patients utilizing deep learning in a restricted cohortKrish Chaudhary, Narendra N Khanna, Pankaj K Jain, et al.
Echocardiography (Mount Kisco, N.Y.)|January 10, 2019
Nonlinear model for the carotid artery disease 10-year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort studyNarendra N Khanna, Ankush D Jamthikar, Tadashi Araki, et al.
Circulation|September 21, 2014
Clinical trials in peripheral vascular disease: pipeline and trial designs: an evaluation of the ClinicalTrials.gov databaseSumeet Subherwal, Manesh R Patel, Karen Chiswell, et al.
Cancers|January 24, 2019
A Review on a Deep Learning Perspective in Brain Cancer ClassificationGopal S Tandel, Mainak Biswas, Omprakash G Kakde, et al.
Journal of the American College of Cardiology|September 13, 2002
Morphologic and angiographic features of coronary plaque rupture detected by intravascular ultrasoundAkiko Maehara, Gary S Mintz, Anh B Bui, et al.
Metabolites|April 21, 2022
Cardiovascular/Stroke Risk Stratification in Parkinson's Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic ReviewJasjit S Suri, Sudip Paul, Maheshrao A Maindarkar, et al.
Circulation|June 5, 2003
Intravascular ultrasound analysis of infarct-related and non-infarct-related arteries in patients who presented with an acute myocardial infarctionJun-ichi Kotani, Gary S Mintz, Marco T Castagna, et al.
Diabetes Research and Clinical Practice|July 31, 2018
Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patientsVasileios Kotsis, Ankush D Jamthikar, Tadashi Araki, et al.
Journal of the American College of Cardiology|November 16, 2004
Intravascular ultrasound assessment of angiographic filling defects in native coronary arteries: do they always contain thrombi?Jun-ichi Kotani, Gary S Mintz, Prithviraj B Rai, et al.
The American Journal of Cardiology|October 13, 2004
Usefulness of optical coherent reflectometry with guided radiofrequency energy to treat chronic total occlusions in peripheral arteries (the GRIP trial)Romas J Kirvaitis, Richard R Heuser, Tony S Das, et al.
Pageof 19

Showing results (121-130 of 187) with videos related to

Sort By:
Pageof 19
Computers in Biology and Medicine|February 11, 2026
Identification of high-risk genes and classification of acute myocardial infarction patients utilizing deep learning in a restricted cohortKrish Chaudhary, Narendra N Khanna, Pankaj K Jain, et al.
Echocardiography (Mount Kisco, N.Y.)|January 10, 2019
Nonlinear model for the carotid artery disease 10-year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort studyNarendra N Khanna, Ankush D Jamthikar, Tadashi Araki, et al.
Circulation|September 21, 2014
Clinical trials in peripheral vascular disease: pipeline and trial designs: an evaluation of the ClinicalTrials.gov databaseSumeet Subherwal, Manesh R Patel, Karen Chiswell, et al.
Cancers|January 24, 2019
A Review on a Deep Learning Perspective in Brain Cancer ClassificationGopal S Tandel, Mainak Biswas, Omprakash G Kakde, et al.
Journal of the American College of Cardiology|September 13, 2002
Morphologic and angiographic features of coronary plaque rupture detected by intravascular ultrasoundAkiko Maehara, Gary S Mintz, Anh B Bui, et al.
Metabolites|April 21, 2022
Cardiovascular/Stroke Risk Stratification in Parkinson's Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic ReviewJasjit S Suri, Sudip Paul, Maheshrao A Maindarkar, et al.
Circulation|June 5, 2003
Intravascular ultrasound analysis of infarct-related and non-infarct-related arteries in patients who presented with an acute myocardial infarctionJun-ichi Kotani, Gary S Mintz, Marco T Castagna, et al.
Diabetes Research and Clinical Practice|July 31, 2018
Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patientsVasileios Kotsis, Ankush D Jamthikar, Tadashi Araki, et al.
Journal of the American College of Cardiology|November 16, 2004
Intravascular ultrasound assessment of angiographic filling defects in native coronary arteries: do they always contain thrombi?Jun-ichi Kotani, Gary S Mintz, Prithviraj B Rai, et al.
The American Journal of Cardiology|October 13, 2004
Usefulness of optical coherent reflectometry with guided radiofrequency energy to treat chronic total occlusions in peripheral arteries (the GRIP trial)Romas J Kirvaitis, Richard R Heuser, Tony S Das, et al.
Pageof 19