Appropriate Contrast Enhancement Measures for Brain and Breast Cancer Images. - Suneet K. Gupta 001; Rabins Porwal (Int. J. Biomed. Imaging, 2016)

A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s). - Siva Skandha Sanagala; Suneet K. Gupta 001; Vijaya Kumar Koppula; Mohit Agarwal 003 (ICMLA, 2019)

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0. - Siva Skandha Sanagala; Suneet K. Gupta 001; Luca Saba; Vijaya Kumar Koppula; Amer M. Johri; Narendra N. Khanna; Sophie Mavrogeni; John R. Laird; Gyan Pareek; Martin Miner; Petros P. Sfikakis; Athanasios Protogerou; et al. (Comput. Biol. Medicine, 2020)

Development of Efficient CNN model for Tomato crop disease identification. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (Sustain. Comput. Informatics Syst., 2020)

Plant Leaf Disease Segmentation Using Compressed UNet Architecture. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (PAKDD (Workshops), 2021)

A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (PAKDD (3), 2021)

Development of Web and Mobile Based Smart Online Healthcare System. - Mohammad Monirujjaman Khan; Rahat Anwar; Farhan Amar Tanve; Dewan Shakil; Manas Banik; Suneet Kumar Gupta 001 (UEMCON, 2021)

Stock Market Prediction using Recurrent Neural Network's LSTM Architecture. - Koushik Sutradhar; Sourav Sutradhar; Iqbal Ahmed Jhimel; Suneet Kumar Gupta 001; Mohammad Monirujjaman Khan (UEMCON, 2021)

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. - Luca Saba; Mohit Agarwal 003; Anubhav Patrick; Anudeep Puvvula; Suneet K. Gupta 001; Alessandro Carriero; John R. Laird; George D. Kitas; Amer M. Johri; Antonella Balestrieri; Zeno Falaschi; Alessio Pasche; et al. (Int. J. Comput. Assist. Radiol. Surg., 2021)

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. - Jasjit S. Suri; Sushant Agarwal; Suneet K. Gupta 001; Anudeep Puvvula; Mainak Biswas; Luca Saba; Arindam Bit; Gopal S. Tandel; Mohit Agarwal 003; Anubhav Patrick; Gavino Faa; Inder M. Singh; et al. (Comput. Biol. Medicine, 2021)

A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort. - Mohit Agarwal 003; Luca Saba; Suneet K. Gupta 001; Alessandro Carriero; Zeno Falaschi; Alessio Pasche; Pietro Danna; Ayman El-Baz; D. Subbaram Naidu; Jasjit S. Suri (J. Medical Syst., 2021)

Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application. - Mohit Agarwal 003; Luca Saba; Suneet K. Gupta 001; Amer M. Johri; Narendra N. Khanna; Sophie Mavrogeni; John R. Laird; Gyan Pareek; Martin Miner; Petros P. Sfikakis; Athanasios Protogerou; Aditya M. Sharma 001; et al. (Medical Biol. Eng. Comput., 2021)

A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (Sustain. Comput. Informatics Syst., 2021)

A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. - Luca Saba; Siva Skandha Sanagala; Suneet K. Gupta 001; Vijaya Kumar Koppula; John R. Laird; Vijay Viswanathan 001; Miguel J. Sanches; George D. Kitas; Amer M. Johri; Neeraj Sharma; Andrew Nicolaides; Jasjit S. Suri (IEEE Trans. Instrum. Meas., 2021)

Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. - Jasjit S. Suri; Sushant Agarwal; Suneet K. Gupta 001; Anudeep Puvvula; Klaudija Viskovic; Neha Suri; Azra Alizad; Ayman El-Baz; Luca Saba; Mostafa Fatemi; D. Subbaram Naidu (IEEE J. Biomed. Health Informatics, 2021)

RIS-IoT: Towards Resilient, Interoperable, Scalable IoT. - Bharath Sudharsan; Panchakarla S. Rahul; Piyush Yadav; Suneet Kumar Gupta 001; Vimal Kumar 002; Duc-Duy Nguyen; Muhammad Intizar Ali; John G. Breslin (ICCPS, 2022)

Human activity recognition in artificial intelligence framework: a narrative review. - Neha Gupta; Suneet K. Gupta 001; Rajesh K. Pathak; Vanita Jain; Parisa Rashidi; Jasjit S. Suri (Artif. Intell. Rev., 2022)

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. - Mohit Agarwal 003; Sushant Agarwal; Luca Saba; Gian Luca Chabert; Suneet K. Gupta 001; Alessandro Carriero; Alessio Pasche; Pietro Danna; Armin Mehmedovic; Gavino Faa; Saurabh Shrivastava; Kanishka Jain; et al. (Comput. Biol. Medicine, 2022)

Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization. - Amer M. Johri; Krishna V. Singh; Laura E. Mantella; Luca Saba; Aditya Sharma 001; John R. Laird; Kumar Utkarsh; Inder M. Singh; Suneet K. Gupta 001; Manudeep S. Kalra; Jasjit S. Suri (Comput. Biol. Medicine, 2022)

A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework. - Siva Skandha Sanagala; Andrew Nicolaides; Suneet K. Gupta 001; Vijaya Kumar Koppula; Luca Saba; Amer M. Johri; Manudeep S. Kalra; Jasjit S. Suri (Comput. Biol. Medicine, 2022)

NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death. - Jagjit S. Teji; Suneet Jain; Suneet K. Gupta 001; Jasjit S. Suri (Comput. Biol. Medicine, 2022)

VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification. - Sanjeev Kumar; Suneet K. Gupta 001; Manjit Kaur; Umesh Gupta (J. Vis. Commun. Image Represent., 2022)

A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data. - Siva Skandha Sanagala; Mohit Agarwal 003; Kumar Utkarsh; Suneet K. Gupta 001; Vijaya Kumar Koppula; Jasjit S. Suri (Neural Comput. Appl., 2022)

Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark. - Hikmat Yar; Tanveer Hussain; Mohit Agarwal 003; Zulfiqar Ahmad Khan; Suneet K. Gupta 001; Sung Wook Baik (IEEE Trans. Image Process., 2022)

Deep Reinforcement Learning Based Energy Efficiency Maximization Scheme for Uplink NOMA Enabled D2D Users. - Vineet Vishnoi; Ishan Budhiraja; Suneet K. Gupta 001; Neeraj Joshi; Anushka Nehra; Haneef Khan (GLOBECOM, 2023)

Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset. - Dibyanarayan Hazra; Suneet Kumar Gupta 001; Umesh Gupta; Mohit Agarwal 003 (ICCTA, 2023)

Deep Reinforcement Learning Based Energy Consumption Minimization for Intelligent Reflecting Surfaces Assisted D2D Users Underlaying UAV Network. - Vineet Vishnoi; Prakhar Consul; Ishan Budhiraja; Suneet K. Gupta 001; Neeraj Kumar 001 (INFOCOM Workshops, 2023)

Potato Leaf Disease Classification Using Federated Learning. - Amit Sharma; Dibyanarayan Hazra; Suneet Kumar Gupta 001; Riti Kushwaha; Divya Kumari (RTIP2R (1), 2023)

UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias. - Jasjit S. Suri; Mrinalini Bhagawati; Sushant Agarwal; Sudip Paul; Amit Pandey; Suneet K. Gupta 001; Luca Saba; Kosmas I. Paraskevas; Narendra N. Khanna; John R. Laird; Amer M. Johri; Manudeep K. Kalra; et al. (IEEE Access, 2023)

Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (Neural Comput. Appl., 2023)

Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network model. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (Int. J. Mach. Learn. Cybern., 2023)

Compression and acceleration of convolution neural network: a Genetic Algorithm based approach. - Mohit Agarwal 003; Suneet K. Gupta 001; Mainak Biswas; Deepak Garg 002 (J. Ambient Intell. Humaniz. Comput., 2023)

A Deep Reinforcement Learning Scheme for Sum Rate and Fairness Maximization Among D2D Pairs Underlaying Cellular Network With NOMA. - Vineet Vishnoi; Ishan Budhiraja; Suneet K. Gupta 001; Neeraj Kumar 001 (IEEE Trans. Veh. Technol., 2023)

Non-overlapping block-level difference-based image forgery detection and localization (NB-localization). - Sanjeev Kumar; Suneet Kumar Gupta 001; Umesh Gupta; Mohit Agarwal 003 (Vis. Comput., 2023)

Artificial intelligence bias in medical system designs: a systematic review. - Ashish Kumar; Vivekanand Aelgani; Rubeena Vohra; Suneet K. Gupta 001; Mrinalini Bhagawati; Sudip Paul; Luca Saba; Neha Suri; Narendra N. Khanna; John R. Laird; Amer M. Johri; Manudeep Kalra; et al. (Multim. Tools Appl., 2024)

DECACNN: differential evolution-based approach to compress and accelerate the convolution neural network model. - Mohit Agarwal 003; Suneet K. Gupta 001; K. K. Biswas (Neural Comput. Appl., 2024)

Energy Maximization for Wireless Powered Communication Enabled IoT Devices With NOMA Underlaying Solar Powered UAV Using Federated Reinforcement Learning for 6G Networks. - Abdoh M. A. Jabbari; Haneef Khan; Salahaldeen Duraibi; Ishan Budhiraja; Suneet K. Gupta 001; Marwan Omar (IEEE Trans. Consumer Electron., 2024)

Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review. - Archana Bathula; Suneet K. Gupta 001; Suresh Merugu; Luca Saba; Narendra N. Khanna; John R. Laird; Siva Skandha Sanagala; Rajesh Singh; Deepak Garg 002; Mostafa M. Fouda; Jasjit S. Suri (Artif. Intell. Rev., 2024)

A 2-level meta-heuristic aware adaptive watershed technique based optimized convolutional deep neural network for lung cancer segmentation and classification using explainable AI. - Vivekanand Aelgani; Suneet Kumar Gupta 001; V. A. Narayana (Biomed. Signal Process. Control., 2025)

Deep ensembled voting framework for human activity recognition and validation on video sequences. - Neha Gupta; Suneet K. Gupta 001; Vanita Jain; Narpinder Singh; Jasjit S. Suri (Evol. Syst., 2025)