Ankush Jamthikar

About Ankush Jamthikar

Ankush Jamthikar, With an exceptional h-index of 22 and a recent h-index of 22 (since 2020), a distinguished researcher at Visvesvaraya National Institute of Technology, specializes in the field of Medical Imaging, Ultrasound, Biomedical Signal Processing, Machine Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Prediction of Severe Obstructive Coronary Artery Disease Using Radiomic Features from Resting Cardiac Ultrasound Images: A Pilot Study

MYOCARDIAL TISSUE CHARACTERIZATION AFTER ACUTE MYOCARDIAL INFARCTION WITH CARDIAC ULTRASOUND RADIOMICS

Ultrasonic Texture Analysis for Acute Myocardial Infarction Risk Stratification: A Pilot Study

CARDIAC ULTRASOUND RADIOMICS ENABLED MACHINE LEARNING MODELS FOR PREDICTING ATHEROSCLEROTIC CARDIOVASCULAR DISEASE

A deep patient-similarity learning framework for the assessment of diastolic dysfunction in elderly patients

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting

Dissecting the latent representation of age inside a deep neural network’s predictions of diastolic dysfunction using echocardiographic variables

Cardiac Ultrasonic Tissue Characterization in Myocardial Infarction Based on Deep Transfer Learning and Radiomics Features

Ankush Jamthikar Information

University

Position

PhD Research Scholar

Citations(all)

1126

Citations(since 2020)

1121

Cited By

282

hIndex(all)

22

hIndex(since 2020)

22

i10Index(all)

30

i10Index(since 2020)

30

Email

University Profile Page

Visvesvaraya National Institute of Technology

Google Scholar

View Google Scholar Profile

Ankush Jamthikar Skills & Research Interests

Medical Imaging

Ultrasound

Biomedical Signal Processing

Machine Learning

Deep Learning

Top articles of Ankush Jamthikar

Title

Journal

Author(s)

Publication Date

Prediction of Severe Obstructive Coronary Artery Disease Using Radiomic Features from Resting Cardiac Ultrasound Images: A Pilot Study

medRxiv

Daniel Aziz

Ankush Diwakar Jamthikar

Abhijit Bhattaru

Karthik Desingu

Nivedita Rajiv

...

2024

MYOCARDIAL TISSUE CHARACTERIZATION AFTER ACUTE MYOCARDIAL INFARCTION WITH CARDIAC ULTRASOUND RADIOMICS

Circulation

Aleksandar N Nesković

Aleksandra Mojsilović

Tomislav Jovanović

Jovan Vasiljević

Miodrag Popović

...

1998/8/18

Ultrasonic Texture Analysis for Acute Myocardial Infarction Risk Stratification: A Pilot Study

medRxiv

Quincy A Hathaway

Ankush D Jamthikar

Bernard R Chaitman

Jeffrey L Carson

Naveena Yanamala

...

2024

CARDIAC ULTRASOUND RADIOMICS ENABLED MACHINE LEARNING MODELS FOR PREDICTING ATHEROSCLEROTIC CARDIOVASCULAR DISEASE

Journal of the American College of Cardiology

Daniel Aziz

Ankush Jamthikar

Anthony Pennito

Seung Jae Moon

Kameswari Maganti

...

2024/4/2

A deep patient-similarity learning framework for the assessment of diastolic dysfunction in elderly patients

European Heart Journal-Cardiovascular Imaging

Rohan Shah

Marton Tokodi

Ankush Jamthikar

Sabha Bhatti

Ehimare Akhabue

...

2024/2/5

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting

Medical image analysis

Simon Graham

Quoc Dang Vu

Mostafa Jahanifar

Martin Weigert

Uwe Schmidt

...

2024/2/1

Dissecting the latent representation of age inside a deep neural network’s predictions of diastolic dysfunction using echocardiographic variables

Biomedical Signal Processing and Control

Ankush D Jamthikar

Rohan Shah

Márton Tokodi

Partho P Sengupta

Naveena Yanamala

2024/6/1

Cardiac Ultrasonic Tissue Characterization in Myocardial Infarction Based on Deep Transfer Learning and Radiomics Features

medRxiv

Ankush Diwakar Jamthikar

Quincy A Hathaway

Kameswari Maganti

Yasmin Hamirani

Sabahat Bokhari

...

2024

CARDIAC MICROSTRUCTURE AND LEFT VENTRICULAR DIASTOLIC DYSFUNCTION: INSIGHTS FROM RADIOMICS-BASED ULTRASOUND ASSOCIATION STUDIES

Journal of the American College of Cardiology

Anthony Pennito

Ankush Jamthikar

Daniel Aziz

Seung Jae Moon

Kameswari Maganti

...

2024/4/2

DISSECTING A DEEP NEURAL NETWORK TO UNCOVER HOW IT LEARNS THE AGE-INDEPENDENT RISK STRATIFICATION OF PATIENTS FROM ECHOCARDIOGRAPHIC VARIABLES

Journal of the American College of Cardiology

Ankush Jamthikar

Marton Tokodi

Rohan V Shah

Naveena Yanamala

Partho P Sengupta

2023/3/7

Analyzing the Mechanism Behind Age-agnostic Prediction of Diastolic Dysfunction Using Echocardiography Variables in Deep Neural Networks

medRxiv

Ankush Diwakar Jamthikar

Rohan Shah

Marton Tokodi

Partho Sengupta

Naveena Yanamala

2023

Cardiovascular risk stratification in diabetic retinopathy via atherosclerotic pathway in COVID-19/non-COVID-19 frameworks using artificial intelligence paradigm: a narrative …

Smiksha Munjral

Mahesh Maindarkar

Puneet Ahluwalia

Anudeep Puvvula

Ankush Jamthikar

...

2022/5/14

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

V Viswanathan

A Puvvula

AD Jamthikar

L Saba

AM Johri

...

2022/3/1

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

Computación y Sistemas

Rodrigo Ibarra

Jaime León

Iván Ávila

Hiram Ponce

2022/12

A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study

Computers in Biology and Medicine

Ankush Jamthikar

Deep Gupta

Amer M Johri

Laura E Mantella

Luca Saba

...

2022/1/1

Combining Deep-Learned and Hand-Crafted Features for Segmentation, Classification and Counting of Colon Nuclei in H &E Stained Histology Images

Pranay Dumbhare

Yash Dubey

Vedant Phuse

Ankush Jamthikar

Himanshu Padole

...

2022/11/4

Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: A narrative review

Smiksha Munjral

Puneet Ahluwalia

Ankush D Jamthikar

Anudeep Puvvula

Luca Saba

...

2021/11/30

Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of …

The International Journal of Cardiovascular Imaging

Amer M Johri

Laura E Mantella

Ankush D Jamthikar

Luca Saba

John R Laird

...

2021/11

Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: A 500 …

The International Journal of Cardiovascular Imaging

Ankush D Jamthikar

Deep Gupta

Laura E Mantella

Luca Saba

John R Laird

...

2021/4

Ensemble machine learning and its validation for prediction of coronary artery disease and acute coronary syndrome using focused carotid ultrasound

IEEE Transactions on Instrumentation and Measurement

Ankush D Jamthikar

Deep Gupta

Laura E Mantella

Luca Saba

Amer M Johri

...

2021/12/31

See List of Professors in Ankush Jamthikar University(Visvesvaraya National Institute of Technology)

Co-Authors

H-index: 207
Naveed Sattar

Naveed Sattar

University of Glasgow

H-index: 193
Deepak L. Bhatt, MD, MPH

Deepak L. Bhatt, MD, MPH

Harvard University

H-index: 80
Petros P. Sfikakis

Petros P. Sfikakis

National and Kapodistrian University of Athens

H-index: 63
Athanase D Protogerou

Athanase D Protogerou

National and Kapodistrian University of Athens

H-index: 63
Luca Saba

Luca Saba

Università degli Studi di Cagliari

H-index: 44
Vikas Agarwal

Vikas Agarwal

Sanjay Gandhi Post Graduate Institute of Medical Sciences

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