Ankush D. Jamthikar

1.5k citations

35 papers · 754 indexed · h-index 20

Cardiology and Cardiovascular Medicine top 5%
Pulmonary and Respiratory Medicine top 10%
Radiology, Nuclear Medicine and Imaging top 5%
Health Information Management top 1%
Artificial Intelligence top 10%

Co-authors: Deep Gupta John R. Laird Jasjit S. Suri Narendra N. Khanna Luca Saba George D. Kitas Sophie Mavrogeni Andrew Nicolaides
Topics: Cardiovascular Health and Disease Prevention (20 papers)Cerebrovascular and Carotid Artery Diseases (19 papers)Cardiac Imaging and Diagnostics (15 papers)
Cited by: Health Informatics Health Information Management Cardiology and Cardiovascular Medicine
Journals: Journal of the American College of Cardiology IEEE Transactions on Instrumentation and Measurement JACC. Cardiovascular imaging
Partner nations: United States India Italy

In The Last Decade

Ankush D. Jamthikar

32 papers receiving 742 citations

Peers

Countries citing papers authored by Ankush D. Jamthikar

Since Specialization

Citations

This map shows the geographic impact of Ankush D. Jamthikar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ankush D. Jamthikar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankush D. Jamthikar more than expected).

Fields of papers citing papers by Ankush D. Jamthikar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ankush D. Jamthikar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ankush D. Jamthikar. The network helps show where Ankush D. Jamthikar may publish in the future.

Co-authorship network of co-authors of Ankush D. Jamthikar

This figure shows the co-authorship network connecting the top 25 collaborators of Ankush D. Jamthikar. A scholar is included among the top collaborators of Ankush D. Jamthikar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ankush D. Jamthikar. Ankush D. Jamthikar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation 2025 ·JACC. Cardiovascular imaging ·Nobuyuki Kagiyama,Márton Tokodi,Quincy A. Hathaway,Rima Arnaout,Rhodri Davies,Damini Dey,Nicolás Duchateau,Alan G. Fraser,(unknown),Ankush D. Jamthikar,Carolyn S.P. Lam,Evangelos K. Oikonomou,David Ouyang,Ambarish Pandey,Timothy J. Poterucha,Zahra Raisi‐Estabragh,Jordan B. Strom,(unknown),Naveena Yanamala,Partho P. Sengupta	1
2	Synthetic generation of cardiac tissue motion from surface electrocardiograms 2025 ·Nature Cardiovascular Research ·Aditya Radhakrishnan,Naveena Yanamala,Ankush D. Jamthikar,(unknown),(unknown),Yasmin S. Hamirani,Kameswari Maganti,Partho P. Sengupta	0
3	Ultrasonic Texture Analysis for Predicting Acute Myocardial Infarction 2025 ·JACC. Cardiovascular imaging ·Ankush D. Jamthikar,Quincy A. Hathaway,Kameswari Maganti,Yasmin S. Hamirani,Sabahat Bokhari,Naveena Yanamala,Partho P. Sengupta	1
4	Dissecting the latent representation of age inside a deep neural network’s predictions of diastolic dysfunction using echocardiographic variables 2024 ·Biomedical Signal Processing and Control ·Ankush D. Jamthikar,Rohan Shah,Márton Tokodi,Partho P. Sengupta,Naveena Yanamala	1
5	Cardiac ultrasomics for acute myocardial infarction risk stratification and prediction of all-cause mortality: a feasibility study 2024 ·Echo Research and Practice ·Quincy A. Hathaway,Ankush D. Jamthikar,(unknown),Bernard Chaitman,Jeffrey L. Carson,Naveena Yanamala,Partho P. Sengupta	5
6	Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis 2024 ·JACC. Cardiovascular imaging ·Márton Tokodi,Rohan Shah,Ankush D. Jamthikar,Neil Craig,Yasmin S. Hamirani,Grace Casaclang‐Verzosa,Rebecca T. Hahn,Marc R. Dweck,Philippe Pîbarot,Naveena Yanamala,Partho P. Sengupta	2
7	Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients 2022 ·Rheumatology International ·George Konstantonis,Krishna V. Singh,Petros P. Sfikakis,Ankush D. Jamthikar,George D. Kitas,(unknown),Luca Saba,(unknown),Narendra N. Khanna,Zoltán Ruzsa,Aditya Sharma,John R. Laird,Amer M. Johri,(unknown),Athanase D. Protogerou,Jasjit S. Suri	27
8	Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound 2021 ·IEEE Transactions on Instrumentation and Measurement ·Ankush D. Jamthikar,Deep Gupta,Laura E. Mantella,Luca Saba,Amer M. Johri,Jasjit S. Suri	20
9	Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of carotid ultrasound features and intra-plaque neovascularization 2021 ·International journal of cardiac imaging ·Amer M. Johri,Laura E. Mantella,Ankush D. Jamthikar,Luca Saba,John R. Laird,Jasjit S. Suri	20
10	Bidirectional link between diabetes mellitus and coronavirus disease 2019 leading to cardiovascular disease: A narrative review 2021 ·World Journal of Diabetes ·Vijay Viswanathan,Anudeep Puvvula,Ankush D. Jamthikar,Luca Saba,Amer M. Johri,Vasilios Kotsis,Narendra N. Khanna,Surinder Dhanjil,(unknown),Durga Prasanna Misra,Vikas Agarwal,George D. Kitas,Aditya Sharma,Raghu Kolluri,Subbaram Naidu,Jasjit S. Suri	24
11	Morphological Carotid Plaque Area Is Associated With Glomerular Filtration Rate: A Study of South Asian Indian Patients With Diabetes and Chronic Kidney Disease 2020 ·Angiology ·Anudeep Puvvula,Ankush D. Jamthikar,Deep Gupta,Narendra N. Khanna,Michele Porcu,Luca Saba,Klaudija Višković,(unknown),Ajay Gupta,Sophie Mavrogeni,Monika Turk,John R. Laird,Gyan Pareek,Martin Miner,Petros P. Sfikakis,Athanase D. Protogerou,George D. Kitas,Andrew Nicolaides,Vijay Viswanathan,Jasjit S. Suri	20
12	Does the Carotid Bulb Offer a Better 10-Year CVD/Stroke Risk Assessment Compared to the Common Carotid Artery? A 1516 Ultrasound Scan Study 2020 ·Angiology ·Vijay Viswanathan,Ankush D. Jamthikar,Deep Gupta,Anudeep Puvvula,Narendra N. Khanna,Luca Saba,Klaudija Višković,Sophie Mavrogeni,John R. Laird,Gyan Pareek,Martin Miner,Petros P. Sfikakis,Athanase D. Protogerou,Aditya Sharma,(unknown),Durga Prasanna Misra,Vikas Agarwal,George D. Kitas,Andrew Nicolaides,Jasjit S. Suri	13
13	Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging 2020 ·Rheumatology International ·Ankush D. Jamthikar,Deep Gupta,Anudeep Puvvula,Amer M. Johri,Narendra N. Khanna,Luca Saba,Sophie Mavrogeni,John R. Laird,Gyan Pareek,Martin Miner,Petros P. Sfikakis,Athanase D. Protogerou,George D. Kitas,Raghu Kolluri,Aditya Sharma,Vijay Viswanathan,Vijay Rathore,Jasjit S. Suri	29
14	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 2020 ·Cardiovascular Diagnosis and Therapy ·Ankush D. Jamthikar,Deep Gupta,Elisa Cuadrado‐Godia,Anudeep Puvvula,Narendra N. Khanna,Luca Saba,Klaudija Višković,Sophie Mavrogeni,Monika Turk,John R. Laird,Gyan Pareek,Martin Miner,Petros P. Sfikakis,Athanase D. Protogerou,George D. Kitas,(unknown),Andrew Nicolaides,Vijay Viswanathan,Aditya Sharma,Jasjit S. Suri	15
15	Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models 2020 ·Cardiovascular Diagnosis and Therapy ·Ankush D. Jamthikar,Deep Gupta,Luca Saba,Narendra N. Khanna,Tadashi Araki,Klaudija Višković,Sophie Mavrogeni,John R. Laird,Gyan Pareek,Martin Miner,Petros P. Sfikakis,Athanase D. Protogerou,Vijay Viswanathan,Aditya Sharma,Andrew Nicolaides,George D. Kitas,Jasjit S. Suri	39
16	Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort 2020 ·Journal of Medical Systems ·Ankush D. Jamthikar,Deep Gupta,Amer M. Johri,Laura E. Mantella,Luca Saba,Raghu Kolluri,Aditya Sharma,Vijay Viswanathan,Andrew Nicolaides,Jasjit S. Suri	16
17	Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound 2020 ·Computers in Biology and Medicine ·Ankush D. Jamthikar,Deep Gupta,Luca Saba,Narendra N. Khanna,Klaudija Višković,Sophie Mavrogeni,John R. Laird,Naveed Sattar,Amer M. Johri,Gyan Pareek,Martin Miner,Petros P. Sfikakis,Athanase D. Protogerou,Vijay Viswanathan,Aditya Sharma,George D. Kitas,Andrew Nicolaides,Raghu Kolluri,Jasjit S. Suri	35
18	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 2019 ·Echocardiography ·Narendra N. Khanna,Ankush D. Jamthikar,Tadashi Araki,Deep Gupta,Matteo Piga,Luca Saba,Carlo Carcassi,Andrew Nicolaides,John R. Laird,Harman S. Suri,Ajay Gupta,Sophie Mavrogeni,George D. Kitas,Jasjit S. Suri	30
19	A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes 2019 ·Cardiovascular Diagnosis and Therapy ·Ankush D. Jamthikar,Deep Gupta,Narendra N. Khanna,Luca Saba,Tadashi Araki,Klaudija Višković,Harman S. Suri,Ajay Gupta,Sophie Mavrogeni,Monika Turk,John R. Laird,Gyan Pareek,Martin Miner,Petros P. Sfikakis,Athanase D. Protogerou,George D. Kitas,Vijay Viswanathan,Andrew Nicolaides,Deepak L. Bhatt,Jasjit S. Suri	57
20	Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients 2018 ·Diabetes Research and Clinical Practice ·Vasilios Kotsis,Ankush D. Jamthikar,Tadashi Araki,Deep Gupta,John R. Laird,A Giannopoulos,Luca Saba,Harman S. Suri,Sophie Mavrogeni,George D. Kitas,Klaudija Višković,Narendra N. Khanna,Ajay Gupta,Andrew Nicolaides,Jasjit S. Suri	22

About Ankush D. Jamthikar

Ankush D. Jamthikar is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 754 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (20 papers), Cerebrovascular and Carotid Artery Diseases (19 papers) and Cardiac Imaging and Diagnostics (15 papers). The work is most often cited by research in Health Informatics (69 citations), Health Information Management (112 citations) and Cardiology and Cardiovascular Medicine (374 citations). Ankush D. Jamthikar has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Deep Gupta, John R. Laird, Jasjit S. Suri, Narendra N. Khanna, Luca Saba, George D. Kitas, Sophie Mavrogeni, Andrew Nicolaides, Petros P. Sfikakis and Athanase D. Protogerou. Their work appears in journals such as Journal of the American College of Cardiology, IEEE Transactions on Instrumentation and Measurement and JACC. Cardiovascular imaging.

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