Maximum Payload for Digital Image Steganography Obtained by Mixed Edge Detection Mechanism. - Biswajit Jena; Gopal Krishna Nayak; Sanjay Saxena (ICIT, 2019)

Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review. - Biswajit Jena; Sanjay Saxena; Gopal Krishna Nayak; Luca Saba; Neeraj Sharma; Jasjit S. Suri (Comput. Biol. Medicine, 2021)

Convolutional neural network and its pretrained models for image classification and object detection: A survey. - Biswajit Jena; Gopal Krishna Nayak; Sanjay Saxena (Concurr. Comput. Pract. Exp., 2022)

An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature. - Biswajit Jena; Gopal Krishna Nayak; Sanjay Saxena (Mach. Vis. Appl., 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)

A Machine Learning Approach for Risk Prediction of Cardiovascular Disease. - Shovna Panda; Shantilata Palei; Mullapudi Venkata Sai Samartha; Biswajit Jena; Sanjay Saxena (CVIP (2), 2023)

Drug Recommendation System for Cancer Patients Using XAI: A Traceability Perspective. - Plavani Sahoo; Dasari Prashanth Naidu; Mullapudi Venkata Sai Samartha; Shantilata Palei; Biswajit Jena; Sanjay Saxena (CVIP (2), 2023)

Synthesis of Glioblastoma Segmentation Data Using Generative Adversarial Network. - Mullapudi Venkata Sai Samartha; Gorantla Maheswar; Shantilata Palei; Biswajit Jena; Sanjay Saxena (CVIP (2), 2023)

Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation. - Sanjay Saxena; Biswajit Jena; Bibhabasu Mohapatra; Neha Gupta; Manudeep S. Kalra; Mario Scartozzi; Luca Saba; Jasjit S. Suri (Comput. Biol. Medicine, 2023)

Analysis of depth variation of U-NET architecture for brain tumor segmentation. - Biswajit Jena; Sarthak Jain; Gopal Krishna Nayak; Sanjay Saxena (Multim. Tools Appl., 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)

InₓGa₁₋ₓAs Stacked Multichannel MOSFET Design to Improve the Electrostatic Performance by Self-Heating Effect Reduction. - N. Revanth Khrisshna; B. Prashanth Kumar; Krutideepa Bhol; Shubham Tayal; Biswajit Jena (IEEE Access, 2024)

WU-Net++: A novel enhanced Weighted U-Net++ model for brain tumor detection and segmentation from multi-parametric magnetic resonance scans. - Suchismita Das; Rajni Dubey; Biswajit Jena; Lung-Wen Tsai; Sanjay Saxena (Multim. Tools Appl., 2024)

A Generalized and Robust Nonlinear Approach based on Machine Learning for Intrusion Detection. - Jakiur Rahman; Jaskaran Singh; Soumen Nayak; Biswajit Jena; Lopamudra Mohanty; Narpinder Singh; John R. Laird; Rajesh Singh; Deepak Garg 002; Narendra N. Khanna; Mostafa M. Fouda; Luca Saba; et al. (Appl. Artif. Intell., 2024)

Employing a Mixture of Rayleigh and Inverse Gaussian Distributions as SAR Clutter Texture Model in MAP Estimation for Efficient Speckle Suppression. - Dheeren Ku Mahapatra; Saurav Gupta; Biswajit Jena; Ravi Prakash Dwivedi (IEEE Access, 2025)

Federated learning frameworks in smart e-healthcare: A systematic literature review with bias evaluation. - Soumyaranjan Panda; Rajni Dubey; Biswajit Jena; Vikas Pareek; Lung-Wen Tsai; Sanjay Saxena (Appl. Soft Comput., 2025)