N. N. Khanna

发表

The present and future of deep learning in radiology.

Jasjit S. Suri, Damodar Reddy Edla, Narendra N. Khanna, 2019, European journal of radiology.

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 study

Jasjit S Suri, Deep Gupta, Ankush D. Jamthikar, 2019, Echocardiography.

Ultrasound-based carotid stenosis measurement and risk stratification in diabetic cohort: a deep learning paradigm.

Jasjit S Suri, Andrew Nicolaides, Harman S. Suri, 2019, Cardiovascular diagnosis and therapy.

A Survey on Coronary Atherosclerotic Plaque Tissue Characterization in Intravascular Optical Coherence Tomography

Jasjit S Suri, Deep Gupta, Ankush D. Jamthikar, 2018, Current Atherosclerosis Reports.

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

Aditya M. Sharma, David W. Sobel, Gopal S. Tandel, 2021, Computers in Biology and Medicine.

Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning–Based Tissue Characterization

Petros Sfikakis, Deep Gupta, Ankush D. Jamthikar, 2019, Current Atherosclerosis Reports.

Ultrasound-based stroke/cardiovascular risk stratification using Framingham Risk Score and ASCVD Risk Score based on "Integrated Vascular Age" instead of "Chronological Age": a multi-ethnic study of Asian Indian, Caucasian, and Japanese cohorts.

Ankush D. Jamthikar, Aditya M. Sharma, J. Suri, 2020, Cardiovascular diagnosis and therapy.

Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies

Harman S. Suri, J. Suri, L. Saba, 2018, Journal of stroke.

Proposed low-density lipoprotein cholesterol goals for secondary prevention and familial hypercholesterolemia in India with focus on PCSK9 inhibitor monoclonal antibodies: Expert consensus statement from Lipid Association of India.

Sundeep Mishra, N. N. Khanna, R. Kasliwal, 2020, Journal of clinical lipidology.

Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited?

Ankush D. Jamthikar, Harman S. Suri, Deepak L. Bhatt, 2019, International angiology : a journal of the International Union of Angiology.

Morphological Carotid Plaque Area Is Associated With Glomerular Filtration Rate: A Study of South Asian Indian Patients With Diabetes and Chronic Kidney Disease

J. Suri, L. Saba, A. Nicolaides, 2020, Angiology.

Integration of eGFR biomarker in image-based CV/Stroke risk calculator: a south Asian-Indian diabetes cohort with moderate chronic kidney disease.

Aditya M. Sharma, J. Suri, L. Saba, 2020, International angiology : a journal of the International Union of Angiology.

Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients

J. Suri, L. Saba, G. Kitas, 2022, Rheumatology International.

Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients.

Jasjit S Suri, Deep Gupta, Tadashi Araki, 2018, Diabetes research and clinical practice.

A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes.

Jasjit S Suri, Deep Gupta, Tadashi Araki, 2019, Cardiovascular diagnosis and therapy.

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 2.0

David W. Sobel, Paramjit S. Chadha, J. Suri, 2022, Computers in Biology and Medicine.

COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans

David W. Sobel, Paramjit S. Chadha, J. Suri, 2022, Diagnostics.

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 Review

J. Suri, L. Saba, A. Barqawi, 2022, Diagnostics.

Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review

Renoh Johnson Chalakkal, David W. Sobel, Paramjit S. Chadha, 2022, Diagnostics.

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

J. Suri, L. Saba, A. El-Baz, 2021, International Journal of Computer Assisted Radiology and Surgery.

Cardiovascular disease and stroke risk assessment in patients with chronic kidney disease using integration of estimated glomerular filtration rate, ultrasonic image phenotypes, and artificial intelligence: a narrative review.

Aditya M. Sharma, Deepak L. Bhatt, J. Suri, 2020, International angiology : a journal of the International Union of Angiology.

COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans

David W. Sobel, Paramjit S. Chadha, M. Kalra, 2022, Diagnostics.

Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review

David W. Sobel, Paramjit S. Chadha, M. Kalra, 2022, Diagnostics.

Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report

David W. Sobel, J. Suri, L. Saba, 2022, Journal of cardiovascular development and disease.

Unmet Need for Further LDL-C Lowering in India despite Statin Therapy: Lipid Association of India Recommendations for the Use of Bempedoic Acid.

N. N. Khanna, R. Kasliwal, A. Muruganathan, 2022, The Journal of the Association of Physicians of India.

Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation

M. Kalra, J. Suri, L. Saba, 2022, Journal of Medical Systems.

Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans

M. Kalra, J. Suri, L. Saba, 2022, Diagnostics.

Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study

David W. Sobel, M. Kalra, J. Suri, 2022, Journal of clinical medicine.

UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias

J. Suri, L. Saba, M. Fatemi, 2023, IEEE Access.

A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework

Jasjit S. Suri, Narendra N. Khanna, Andrew Nicolaides, 2021, Journal of Digital Imaging.

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 application

Jasjit S. Suri, Narendra N. Khanna, Andrew Nicolaides, 2021, Medical & Biological Engineering & Computing.

Lipid Association of India (LAI) expert consensus statement on management of dyslipidaemia in Indians 2017: part 2

S. Seth, N. N. Khanna, R. Kasliwal, 2017 .

Wilson's disease: A new perspective review on its genetics, diagnosis and treatment.

Jasjit S Suri, Anurag Tiwari, Carlo Carcassi, 2019, Frontiers in bioscience.

Bidirectional link between diabetes mellitus and coronavirus disease 2019 leading to cardiovascular disease: A narrative review

Aditya M. Sharma, J. Suri, L. Saba, 2021, World journal of diabetes.

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.

Harman S. Suri, Aditya M. Sharma, Deepak L. Bhatt, 2020, Reviews in cardiovascular medicine.

COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts

David W. Sobel, Paramjit S. Chadha, M. Kalra, 2021, Diagnostics.

Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography

Aditya M. Sharma, David W. Sobel, Paramjit S. Chadha, 2021, Diagnostics.

Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application

Aditya M. Sharma, J. Suri, L. Saba, 2021, Annals of translational medicine.

Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging

Aditya M. Sharma, J. Suri, L. Saba, 2020, Rheumatology International.

Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review

Petia Radeva, Jasjit S. Suri, Luca Saba, 2018, Comput. Biol. Medicine.

Low-cost preventive screening using carotid ultrasound in patients with diabetes.

Aditya M. Sharma, Deepak L. Bhatt, J. Suri, 2020, Frontiers in bioscience.

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review

Mainak Biswas, Vijay Viswanathan, Narendra N. Khanna, 2020, Computers in Biology and Medicine.

Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review

M. Kalra, J. Suri, L. Saba, 2022, Metabolites.

Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0

Harman S. Suri, J. Suri, C. Carcassi, 2019, Medical & Biological Engineering & Computing.

Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study

Jasjit S. Suri, Luca Saba, Vijay Viswanathan, 2019, Comput. Biol. Medicine.

Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models.

Jasjit S Suri, Deep Gupta, Tadashi Araki, 2020, Cardiovascular diagnosis and therapy.

A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography

Jasjit S. Suri, Deep Gupta, Narendra N. Khanna, 2019, Current Atherosclerosis Reports.

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach

Jasjit S. Suri, Luca Saba, Narendra N. Khanna, 2019, Comput. Biol. Medicine.

Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound

Deep Gupta, Andrew Nicolaides, Sophie Mavrogeni, 2020, Comput. Biol. Medicine.

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

Vijaya Kumar Koppula, Jasjit S. Suri, Narendra N. Khanna, 2020, Comput. Biol. Medicine.

Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort

Jasjit S. Suri, Damodar Reddy Edla, Luca Saba, 2018, Comput. Biol. Medicine.

A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review

J. Suri, L. Saba, G. Kitas, 2022, Diagnostics.

Does the Carotid Bulb Offer a Better 10-Year CVD/Stroke Risk Assessment Compared to the Common Carotid Artery? A 1516 Ultrasound Scan Study

Jasjit S Suri, Deep Gupta, Andrew Nicolaides, 2020, Angiology.

Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework

David W. Sobel, M. Kalra, J. Suri, 2023, Diagnostics.

COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models

Aditya M. Sharma, David W. Sobel, Paramjit S. Chadha, 2021, Diagnostics.

Geometric Total Plaque Area Is an Equally Powerful Phenotype Compared With Carotid Intima-Media Thickness for Stroke Risk Assessment: A Deep Learning Approach

Jasjit S. Suri, Narendra N. Khanna, Tadashi Araki, 2018, Journal for Vascular Ultrasound.

TCTAP C-200 Ruptured Aortic Pseudoaneurysm Causing Aorto Bronchial Fistula After Aortic Valve Replacement and Successful Endovascular Repair Using ASD Amplatzer Device

N. N. Khanna, 2014 .

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review

J. Suri, L. Saba, G. Kitas, 2022, Comput. Biol. Medicine.

Cardiovascular disease/stroke risk stratification in deep learning framework: a review

J. Suri, L. Saba, G. Kitas, 2023, Cardiovascular diagnosis and therapy.

Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors

Jasjit S. Suri, Deep Gupta, Narendra N. Khanna, 2020, Indian heart journal.

Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort

Jasjit S. Suri, Luca Saba, Narendra N. Khanna, 2018, Comput. Biol. Medicine.

Cardiological Society of India: Position statement for the management of ST elevation myocardial infarction in India

J. Balachander, R. Sethi, Sundeep Mishra, 2017, Indian heart journal.

A Review on a Deep Learning Perspective in Brain Cancer Classification

Jasjit S Suri, Harman S. Suri, Mainak Biswas, 2019, Cancers.

The Indian consensus statement for the management of lower extremity peripheral artery disease

N. N. Khanna, S. Wangnoo, R. Vijayvergiya, 2023, Journal of Indian College of Cardiology.

Changing pattern of admissions for acute myocardial infarction in India during the COVID-19 pandemic

D. Prabhakaran, V. Garg, R. Sethi, 2021, Indian Heart Journal.

Cardiological society of India position statement on COVID-19 and heart failure

S. Harikrishnan, N. N. Khanna, P. Mohanan, 2020, Indian Heart Journal.

Impact of COVID-19 on heart failure hospitalization and outcome in India – A cardiological society of India study (CSI–HF in COVID 19 times study – “The COVID C–HF study”)

Rohan Kumar Yadav, S. Seth, A. Malviya, 2023, Indian heart journal.