Sanjay Saxena

25 papers B 1Misc 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Federated learning frameworks in smart e-healthcare: A systematic literature review with bias evaluation.
Appl. Soft Comput.
Soumyaranjan Panda, Rajni Dubey, Biswajit Jena, Vikas Pareek, Lung-Wen Tsai, Sanjay Saxena
2025 J jnl
Fv-SFL: A Contrastive Learning-Based Feature Sharing Method for Reducing the Effect of Label Skewed Data Heterogeneity in Federated Medical Imaging.
Concurr. Comput. Pract. Exp.
Soumyaranjan Panda, Vikas Pareek, Sanjay Saxena
2025 J jnl
Navigating the artificial intelligence revolution in neuro-oncology: A multidisciplinary viewpoint.
Neurocomputing
Sanjay Saxena, Soumyaranjan Panda, Ekta Tiwari, Rajesh Singh, Mostafa M. Fouda, Mannudeep K. Kalra, Ketan Kotecha, Luca Saba, Jasjit S. Suri
2024 J jnl
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography.
Frontiers Artif. Intell.
Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun Kumar Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri
2024 J jnl
WU-Net++: A novel enhanced Weighted U-Net++ model for brain tumor detection and segmentation from multi-parametric magnetic resonance scans.
Multim. Tools Appl.
Suchismita Das, Rajni Dubey, Biswajit Jena, Lung-Wen Tsai, Sanjay Saxena
2023 — conf
A Machine Learning Approach for Risk Prediction of Cardiovascular Disease.
CVIP (2)
Shovna Panda, Shantilata Palei, Mullapudi Venkata Sai Samartha, Biswajit Jena, Sanjay Saxena
2023 J jnl
Analysis of depth variation of U-NET architecture for brain tumor segmentation.
Multim. Tools Appl.
Biswajit Jena, Sarthak Jain, Gopal Krishna Nayak, Sanjay Saxena
2023 — conf
Decentralized Pest Detection in Plants with Blockchain Integrated Machine Learning Models.
OCIT
Shantilata Palei, Rakesh Kumar Lenka, Soubhagya Ranjan Mallick, Sanjay Saxena, Pradyumna Kumar Tripathy
2023 — conf
Drug Recommendation System for Cancer Patients Using XAI: A Traceability Perspective.
CVIP (2)
Plavani Sahoo, Dasari Prashanth Naidu, Mullapudi Venkata Sai Samartha, Shantilata Palei, Biswajit Jena, Sanjay Saxena
2023 J jnl
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation.
Comput. Biol. Medicine
Sanjay Saxena, Biswajit Jena, Bibhabasu Mohapatra, Neha Gupta, Manudeep S. Kalra, Mario Scartozzi, Luca Saba, Jasjit S. Suri
2023 J jnl
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.
Neural Comput. Appl.
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
2023 — conf
Synthesis of Glioblastoma Segmentation Data Using Generative Adversarial Network.
CVIP (2)
Mullapudi Venkata Sai Samartha, Gorantla Maheswar, Shantilata Palei, Biswajit Jena, Sanjay Saxena
2022 J jnl
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.
SN Comput. Sci.
Biswajit Jena, Gopal Krishna Nayak, Sudip Paul, Sanjay Saxena
2022 J jnl
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review.
Comput. Biol. Medicine
Suchismita Das, Gopal Krishna Nayak, Luca Saba, Mannudeep K. Kalra, Jasjit S. Suri, Sanjay Saxena
2022 J jnl
An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature.
Mach. Vis. Appl.
Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena
2022 J jnl
Convolutional neural network and its pretrained models for image classification and object detection: A survey.
Concurr. Comput. Pract. Exp.
Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena
2022 J jnl
Deep learning-based ensemble model for brain tumor segmentation using multi-parametric MR scans.
Open Comput. Sci.
Suchismita Das, Srijib Bose, Gopal Krishna Nayak, Sanjay Saxena
2022 J jnl
Effect of learning parameters on the performance of U-Net Model in segmentation of Brain tumor.
Multim. Tools Appl.
Suchsimita Das, Mahesh Ku. Swain, Gopal Krishna Nayak, Sanjay Saxena, S. C. Satpathy
2022 J jnl
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review.
Comput. Biol. Medicine
Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, Athanasios Protogeron, Petros P. Sfikakis, George D. Kitas, Narendra N. Khanna, Zoltan Ruzsa, Aditya M. Sharma, Sanjay Saxena, Gavino Faa, Kosmas I. Paraskevas, John R. Laird, Amer M. Johri, Luca Saba, Manudeep S. Kalra
2021 J jnl
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review.
Comput. Biol. Medicine
Biswajit Jena, Sanjay Saxena, Gopal Krishna Nayak, Luca Saba, Neeraj Sharma, Jasjit S. Suri
2021 J jnl
Brain Tumour Segmentation in FLAIR MRI Using Sliding Window Texture Feature Extraction Followed by Fuzzy C-Means Clustering.
Int. J. Heal. Inf. Syst. Informatics
Sanjay Saxena, Nitu Kumari, Swati Pattnaik
2019 — conf
Maximum Payload for Digital Image Steganography Obtained by Mixed Edge Detection Mechanism.
ICIT
Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena
1994 J jnl
The design and translation of ORL: An object retrieval language.
J. Syst. Softw.
Susan Darling Urban, Chiung-hsun Chen Lai, Sanjay Saxena
1992 B conf
ORL: an object retrieval language interface to an object algebra.
COMPSAC
Susan Darling Urban, Chiung-hsun Chen Lai, Sanjay Saxena
1990 Misc conf
Evaluation of heuristics for inspection station allocation in serial production systems.
WSC
Sanjay Saxena, Chi-Ming Chang, Hin Bun Chow, Jim Lee