Biswajit Jena

Orcid: 0000-0003-2221-6526

According to our database1, Biswajit Jena authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

Analysis of depth variation of U-NET architecture for brain tumor segmentation.
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

Synthesis of Glioblastoma Segmentation Data Using Generative Adversarial Network.
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

A Machine Learning Approach for Risk Prediction of Cardiovascular Disease.
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


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