Teager energy operated perceptual wavelet packet transform coefficients for arithmetic task classification from EEG signals. - Celia Shahnaz; Tanmoy Sarker; Sudip Paul; M. Omair Ahmad; Wei-Ping Zhu 001 (MWSCAS, 2017)

In silico analysis of nonsynonymous single nucleotide polymorphisms of the human adiponectin receptor 2 (ADIPOR2) gene. - Md. Solayman; Md. Abu Saleh; Sudip Paul; M. Ibrahim Khalil; Siew Hua Gan (Comput. Biol. Chem., 2017)

A Survey on Smart Homes for Aging in Place: Toward Solutions to the Specific Needs of the Elderly. - Viswam Nathan; Sudip Paul; Temiloluwa Prioleau; Li Niu 002; Bobak Jack Mortazavi; Stephen A. Cambone; Ashok Veeraraghavan; Ashutosh Sabharwal; Roozbeh Jafari (IEEE Signal Process. Mag., 2018)

Comprehensive Review on Deep Learning for Neuronal Disorders: Applications of Deep Learning. - Vinayak Majhi; Angana Saikia; Amitava Datta; Aseem Sinha; Sudip Paul (Int. J. Nat. Comput. Res., 2020)

Design and Optimization of Direct Drive Motor Alloy Wheel for Manual Wheelchair. - Sateesh Reddy Avutu; Sudip Paul (Int. J. Syst. Dyn. Appl., 2021)

Biopolymer and Biomaterial Conjugated Iron Oxide Nanomaterials as Prostate Cancer Theranostic Agents: A Comprehensive Review. - Md. Abu Rayhan; Md. Sakib Hossen; Mahruba Sultana Niloy; Mozammel Haque Bhuiyan; Sudip Paul; Md. Salman Shakil (Symmetry, 2021)

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review. - Jasjit S. Suri; Mrinalini Bhagawati; Sudip Paul; Athanasios Protogeron; Petros P. Sfikakis; George D. Kitas; Narendra N. Khanna; Zoltan Ruzsa; Aditya M. Sharma 001; Sanjay Saxena; Gavino Faa; Kosmas I. Paraskevas; et al. (Comput. Biol. Medicine, 2022)

An Exhaustive Analytical Study of U-Net Architecture on Two Diverse Biomedical Imaging Datasets of Electron Microscopy Drosophila ssTEM and Brain MRI BraTS-2021 for Segmentation. - Biswajit Jena; Gopal Krishna Nayak; Sudip Paul; Sanjay Saxena (SN Comput. Sci., 2022)

Gamifying Therapy: A New Approach to Modern Therapeutics. - Vinay Kumar Pandey; Vinayak Majhi; Sudip Paul; Shruti Jain (ICMLDE, 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)

Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework. - Sanjay Saxena; Aaditya Agrawal; Prasad Dash; Biswajit Jena; Narendra N. Khanna; Sudip Paul; Mannudeep M. Kalra; Klaudija Viskovic; Mostafa M. Fouda; Luca Saba; Jasjit S. Suri (Neural Comput. Appl., 2023)

COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. - Sushant Agarwal; Sanjay Saxena; Alessandro Carriero; Gian Luca Chabert; Gobinath Ravindran; Sudip Paul; John R. Laird; Deepak Garg 002; Mostafa Fatemi; Lopamudra Mohanty; Arun Kumar Dubey; Rajesh Singh; et al. (Frontiers Artif. Intell., 2024)

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)

Attention-based hybrid deep learning models and its scientific validation for cardiovascular disease risk stratification. - Mrinalini Bhagawati; Siddharth Gupta; Sudip Paul; Laura E. Mantella; Amer M. Johri; John R. Laird; Ekta Tiwari; Narendra N. Khanna; Andrew Nicolaides; Rajesh Singh; Mustafa Al-Maini; Luca Saba; et al. (Biomed. Signal Process. Control., 2025)