CNN and RF Based Classification of Brain Tumors in MR Neurological Images. - Vishlavath Saraswathi; Ankush D. Jamthikar; Deep Gupta (CVIP (1), 2019)

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach. - Elisa Cuadrado Godia; Ankush D. Jamthikar; Deep Gupta; Narendra N. Khanna; Tadashi Araki; Md. Maniruzzaman; Luca Saba; Andrew Nicolaides; Aditya Sharma 001; Tomaz Omerzu; Harman S. Suri; Ajay Gupta; et al. (Comput. Biol. Medicine, 2019)

Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study. - Narendra N. Khanna; Ankush D. Jamthikar; Deep Gupta; Andrew Nicolaides; Tadashi Araki; Luca Saba; Elisa Cuadrado Godia; Aditya Sharma 001; Tomaz Omerzu; Harman S. Suri; Ajay Gupta; Sophie Mavrogeni; et al. (Comput. Biol. Medicine, 2019)

Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0. - Narendra N. Khanna; Ankush D. Jamthikar; Deep Gupta; Tadashi Araki; Matteo Piga; Luca Saba; Carlo Carcassi; Andrew Nicolaides; John R. Laird; Harman S. Suri; Ajay Gupta; Sophie Mavrogeni; et al. (Medical Biol. Eng. Comput., 2019)

Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound. - Ankush D. Jamthikar; Deep Gupta; Luca Saba; Narendra N. Khanna; Klaudija Viskovic; Sophie Mavrogeni; John R. Laird; Naveed Sattar; Amer M. Johri; Gyan Pareek; Martin Miner; Petros P. Sfikakis; et al. (Comput. Biol. Medicine, 2020)

Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort. - Ankush D. Jamthikar; Deep Gupta; Amer M. Johri; Laura E. Mantella; Luca Saba; Raghu Kolluri; Aditya M. Sharma 001; Vijay Viswanathan 001; Andrew Nicolaides; Jasjit S. Suri (J. Medical Syst., 2020)

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; Deep Gupta (CVIP (2), 2022)

A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study. - Ankush D. Jamthikar; Deep Gupta; Amer M. Johri; Laura E. Mantella; Luca Saba; Jasjit S. Suri (Comput. Biol. Medicine, 2022)

Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound. - Ankush D. Jamthikar; Deep Gupta; Laura E. Mantella; Luca Saba; Amer M. Johri; Jasjit S. Suri (IEEE Trans. Instrum. Meas., 2022)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

Dissecting the latent representation of age inside a deep neural network's predictions of diastolic dysfunction using echocardiographic variables. - Ankush D. Jamthikar; Rohan Shah; Márton Tokodi; Partho P. Sengupta; Naveena Yanamala (Biomed. Signal Process. Control., 2024)