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Biswajit Jena
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2020 – today
- 2024
- [j8]Suchismita Das, Rajni Dubey, Biswajit Jena, Lung-Wen Tsai, Sanjay Saxena:
WU-Net++: A novel enhanced Weighted U-Net++ model for brain tumor detection and segmentation from multi-parametric magnetic resonance scans. Multim. Tools Appl. 83(28): 71885-71908 (2024) - 2023
- [j7]Sanjay Saxena, Biswajit Jena, Bibhabasu Mohapatra, Neha Gupta, Manudeep S. Kalra, Mario Scartozzi, Luca Saba, Jasjit S. Suri:
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation. Comput. Biol. Medicine 153: 106492 (2023) - [j6]Biswajit Jena, Sarthak Jain, Gopal Krishna Nayak, Sanjay Saxena:
Analysis of depth variation of U-NET architecture for brain tumor segmentation. Multim. Tools Appl. 82(7): 10723-10743 (2023) - [j5]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:
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. 35(18): 13647-13663 (2023) - [c4]Plavani Sahoo, Dasari Prashanth Naidu, Mullapudi Venkata Sai Samartha, Shantilata Palei, Biswajit Jena, Sanjay Saxena:
Drug Recommendation System for Cancer Patients Using XAI: A Traceability Perspective. CVIP (2) 2023: 278-287 - [c3]Mullapudi Venkata Sai Samartha, Gorantla Maheswar, Shantilata Palei, Biswajit Jena, Sanjay Saxena:
Synthesis of Glioblastoma Segmentation Data Using Generative Adversarial Network. CVIP (2) 2023: 301-312 - [c2]Shovna Panda, Shantilata Palei, Mullapudi Venkata Sai Samartha, Biswajit Jena, Sanjay Saxena:
A Machine Learning Approach for Risk Prediction of Cardiovascular Disease. CVIP (2) 2023: 313-323 - 2022
- [j4]Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena:
Convolutional neural network and its pretrained models for image classification and object detection: A survey. Concurr. Comput. Pract. Exp. 34(6) (2022) - [j3]Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena:
An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature. Mach. Vis. Appl. 33(1): 6 (2022) - [j2]Biswajit Jena, Gopal Krishna Nayak, Sudip Paul, Sanjay Saxena:
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. 3(5): 418 (2022) - 2021
- [j1]Biswajit Jena, Sanjay Saxena, Gopal Krishna Nayak, Luca Saba, Neeraj Sharma, Jasjit S. Suri:
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review. Comput. Biol. Medicine 137: 104803 (2021)
2010 – 2019
- 2019
- [c1]Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena:
Maximum Payload for Digital Image Steganography Obtained by Mixed Edge Detection Mechanism. ICIT 2019: 206-210
Coauthor Index
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