Biswajit Jena
Orcid: 0000-0003-2221-6526
According to our database1,
Biswajit Jena
authored at least 16 papers
between 2019 and 2025.
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Bibliography
2025
Federated learning frameworks in smart e-healthcare: A systematic literature review with bias evaluation.
Appl. Soft Comput., 2025
Employing a Mixture of Rayleigh and Inverse Gaussian Distributions as SAR Clutter Texture Model in MAP Estimation for Efficient Speckle Suppression.
IEEE Access, 2025
2024
A Generalized and Robust Nonlinear Approach based on Machine Learning for Intrusion Detection.
Appl. Artif. Intell., December, 2024
WU-Net++: A novel enhanced Weighted U-Net++ model for brain tumor detection and segmentation from multi-parametric magnetic resonance scans.
Multim. Tools Appl., August, 2024
InₓGa₁₋ₓAs Stacked Multichannel MOSFET Design to Improve the Electrostatic Performance by Self-Heating Effect Reduction.
IEEE Access, 2024
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.
Neural Comput. Appl., June, 2023
Multim. Tools Appl., March, 2023
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation.
Comput. Biol. Medicine, February, 2023
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023
Drug Recommendation System for Cancer Patients Using XAI: A Traceability Perspective.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023
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.
SN Comput. Sci., 2022
An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature.
Mach. Vis. Appl., 2022
Convolutional neural network and its pretrained models for image classification and object detection: A survey.
Concurr. Comput. Pract. Exp., 2022
2021
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review.
Comput. Biol. Medicine, 2021
2019
Maximum Payload for Digital Image Steganography Obtained by Mixed Edge Detection Mechanism.
Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019