Enhancement of Medical Ultrasound Images Using Multiscale Discrete Shearlet Transform Based Thresholding. - Deep Gupta; R. S. Anand; Barjeev Tyagi (ISED, 2012)

Edge preserved enhancement of medical images using adaptive fusion-based denoising by shearlet transform and total variation algorithm. - Deep Gupta; Radhey Shyam Anand; Barjeev Tyagi (J. Electronic Imaging, 2013)

Despeckling of ultrasound medical images using nonlinear adaptive anisotropic diffusion in nonsubsampled shearlet domain. - Deep Gupta; R. S. Anand; Barjeev Tyagi (Biomed. Signal Process. Control., 2014)

Ripplet domain non-linear filtering for speckle reduction in ultrasound medical images. - Deep Gupta; R. S. Anand; Barjeev Tyagi (Biomed. Signal Process. Control., 2014)

A hybrid segmentation method based on Gaussian kernel fuzzy clustering and region based active contour model for ultrasound medical images. - Deep Gupta; R. S. Anand; Barjeev Tyagi (Biomed. Signal Process. Control., 2015)

Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network. - Sneha Singh; Deep Gupta; R. S. Anand; Vinod Kumar 002 (Biomed. Signal Process. Control., 2015)

Speckle filtering of ultrasound images using a modified non-linear diffusion model in non-subsampled shearlet domain. - Deep Gupta; R. S. Anand; Barjeev Tyagi (IET Image Process., 2015)

Despeckling of ultrasound medical images using ripplet domain nonlinear filtering. - Deep Gupta; R. S. Anand; Barjeev Tyagi (Signal Image Video Process., 2015)

A hybrid edge-based segmentation approach for ultrasound medical images. - Deep Gupta; R. S. Anand (Biomed. Signal Process. Control., 2017)

Nonsubsampled Contourlet Domain Fusion Approach for Infrared and Visible Fire Images. - Siva Mouni Nemalidinne; Anem Pravallika Sindhu; Deep Gupta (TENCON, 2018)

CT and MR image information fusion scheme using a cascaded framework in ripplet and NSST domain. - Sneha Singh; Radhey Shyam Anand; Deep Gupta (IET Image Process., 2018)

Classification of Brain Tumor using PCA-RF in MR Neurological Images. - Vishlavath Saraswathi; Deep Gupta (COMSNETS, 2019)

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)

NSST domain CT-MR neurological image fusion using optimised biologically inspired neural network. - Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde (IET Image Process., 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)

Deep and Bio-Inspired Spiking Neural Networks Based Optimized Multi-modal Neurological Image Fusion Model. - Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde (PReMI, 2021)

Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ1 - ℓ0 layer decomposition domain. - Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde (Biomed. Signal Process. Control., 2021)

Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization. - Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde (Int. J. Imaging Syst. Technol., 2021)

Multistage multimodal medical image fusion model using feature-adaptive pulse coupled neural network. - Sneha Singh; Deep Gupta (Int. J. Imaging Syst. Technol., 2021)

Detail Enhanced Feature-Level Medical Image Fusion in Decorrelating Decomposition Domain. - Sneha Singh; Deep Gupta (IEEE Trans. Instrum. Meas., 2021)

Video Colorization Using Modified Autoencoder Generative Adversarial Networks. - Rishesh Agarwal; Manisha Das; Deep Gupta; Petia Radeva (CVIP (1), 2022)

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)

STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion. - Dhruvi Shah; Hareshwar Wani; Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde (NCC, 2022)

Integrated Hierarchical and Flat Classifiers for Food Image Classification using Epistemic Uncertainty. - Vishwesh Pillai; Pranav Mehar; Manisha Das; Deep Gupta; Petia Radeva (SPCOM, 2022)

Saliency Detection Using a Bio-inspired Spiking Neural Network Driven by Local and Global Saliency. - Bhagyashree V. Lad; Manisha Das; Mohammad Farukh Hashmi; Avinash G. Keskar; Deep Gupta (Appl. Artif. Intell., 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)

Optimized Multimodal Neurological Image Fusion Based on Low-Rank Texture Prior Decomposition and Super-Pixel Segmentation. - Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde (IEEE Trans. Instrum. Meas., 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)

Vision Outlooker-Based Hierarchical Food Classification. - Pranav Kathar; Rajshree Khandare; Manisha Das; Deep Gupta; Sneha Singh (TENCON, 2023)

A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention. - Payal Wankhede; Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde (CoRR, 2023)

Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder. - Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde (CoRR, 2023)

Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network. - Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde (J. Ambient Intell. Humaniz. Comput., 2023)

Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images. - Ajinkya Deshpande; Deep Gupta; Ankit Bhurane; Nisha Meshram; Sneha Singh; Petia Radeva (CoRR, 2024)