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Ankush Jamthikar

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Indian Heart Journal|August 31, 2020
Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factorsAnkush Jamthikar, Deep Gupta, Narendra N Khanna, et al.
Computers in Biology and Medicine|January 1, 2022
A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian studyAnkush Jamthikar, Deep Gupta, Amer M Johri, et al.
Nature Cardiovascular Research|April 14, 2025
Synthetic generation of cardiac tissue motion from surface electrocardiogramsAditya Radhakrishnan, Naveena Yanamala, Ankush Jamthikar, et al.
European Heart Journal. Cardiovascular Imaging|February 5, 2024
A deep patient-similarity learning framework for the assessment of diastolic dysfunction in elderly patientsRohan Shah, Marton Tokodi, Ankush Jamthikar, et al.
JACC. Cardiovascular Imaging|September 19, 2024
Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic StenosisMárton Tokodi, Rohan Shah, Ankush Jamthikar, 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.
International Angiology : a Journal of the International Union of Angiology|November 30, 2019
Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited?Luca Saba, Ankush Jamthikar, Deep Gupta, et al.
Cardiovascular Diagnosis and Therapy|November 19, 2019
A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypesAnkush Jamthikar, Deep Gupta, Narendra N Khanna, et al.
Cardiovascular Diagnosis and Therapy|September 24, 2020
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 cohortsAnkush Jamthikar, Deep Gupta, Elisa Cuadrado-Godia, et al.
Current Atherosclerosis Reports|May 2, 2019
A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode UltrasonographyAnkush Jamthikar, Deep Gupta, Narendra N Khanna, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Indian Heart Journal|August 31, 2020
Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factorsAnkush Jamthikar, Deep Gupta, Narendra N Khanna, et al.
Computers in Biology and Medicine|January 1, 2022
A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian studyAnkush Jamthikar, Deep Gupta, Amer M Johri, et al.
Nature Cardiovascular Research|April 14, 2025
Synthetic generation of cardiac tissue motion from surface electrocardiogramsAditya Radhakrishnan, Naveena Yanamala, Ankush Jamthikar, et al.
European Heart Journal. Cardiovascular Imaging|February 5, 2024
A deep patient-similarity learning framework for the assessment of diastolic dysfunction in elderly patientsRohan Shah, Marton Tokodi, Ankush Jamthikar, et al.
JACC. Cardiovascular Imaging|September 19, 2024
Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic StenosisMárton Tokodi, Rohan Shah, Ankush Jamthikar, 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.
International Angiology : a Journal of the International Union of Angiology|November 30, 2019
Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited?Luca Saba, Ankush Jamthikar, Deep Gupta, et al.
Cardiovascular Diagnosis and Therapy|November 19, 2019
A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypesAnkush Jamthikar, Deep Gupta, Narendra N Khanna, et al.
Cardiovascular Diagnosis and Therapy|September 24, 2020
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 cohortsAnkush Jamthikar, Deep Gupta, Elisa Cuadrado-Godia, et al.
Current Atherosclerosis Reports|May 2, 2019
A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode UltrasonographyAnkush Jamthikar, Deep Gupta, Narendra N Khanna, et al.
Pageof 2