Evaluation of heuristics for inspection station allocation in serial production systems. - Sanjay Saxena; Chi-Ming Chang; Hin Bun Chow; Jim Lee (WSC, 1990)

ORL: an object retrieval language interface to an object algebra. - Susan Darling Urban; Chiung-hsun Chen Lai; Sanjay Saxena (COMPSAC, 1992)

The design and translation of ORL: An object retrieval language. - Susan Darling Urban; Chiung-hsun Chen Lai; Sanjay Saxena (J. Syst. Softw., 1994)

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)

Brain Tumour Segmentation in FLAIR MRI Using Sliding Window Texture Feature Extraction Followed by Fuzzy C-Means Clustering. - Sanjay Saxena; Nitu Kumari; Swati Pattnaik (Int. J. Heal. Inf. Syst. Informatics, 2021)

An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review. - Suchismita Das; Gopal Krishna Nayak; Luca Saba; Mannudeep K. Kalra; Jasjit S. Suri; Sanjay Saxena (Comput. Biol. Medicine, 2022)

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)

Deep learning-based ensemble model for brain tumor segmentation using multi-parametric MR scans. - Suchismita Das; Srijib Bose; Gopal Krishna Nayak; Sanjay Saxena (Open Comput. Sci., 2022)

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)

Effect of learning parameters on the performance of U-Net Model in segmentation of Brain tumor. - Suchsimita Das; Mahesh Ku. Swain; Gopal Krishna Nayak; Sanjay Saxena; S. C. Satpathy (Multim. Tools Appl., 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)

Decentralized Pest Detection in Plants with Blockchain Integrated Machine Learning Models. - Shantilata Palei; Rakesh Kumar Lenka; Soubhagya Ranjan Mallick; Sanjay Saxena; Pradyumna Kumar Tripathy (OCIT, 2023)

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)

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)

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)

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)

Navigating the artificial intelligence revolution in neuro-oncology: A multidisciplinary viewpoint. - Sanjay Saxena; Soumyaranjan Panda; Ekta Tiwari; Rajesh Singh; Mostafa M. Fouda; Mannudeep K. Kalra; Ketan Kotecha; Luca Saba; Jasjit S. Suri (Neurocomputing, 2025)

Fv-SFL: A Contrastive Learning-Based Feature Sharing Method for Reducing the Effect of Label Skewed Data Heterogeneity in Federated Medical Imaging. - Soumyaranjan Panda; Vikas Pareek; Sanjay Saxena (Concurr. Comput. Pract. Exp., 2025)