Sanjay Saxena
Orcid: 0000-0002-8288-1010
According to our database1,
Sanjay Saxena
authored at least 24 papers
between 1990 and 2025.
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Bibliography
2025
Navigating the artificial intelligence revolution in neuro-oncology: A multidisciplinary viewpoint.
Neurocomputing, 2025
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
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography.
Frontiers Artif. Intell., 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
Decentralized Pest Detection in Plants with Blockchain Integrated Machine Learning Models.
Proceedings of the OITS International Conference on Information Technology, 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
Effect of learning parameters on the performance of U-Net Model in segmentation of Brain tumor.
Multim. Tools Appl., 2022
Convolutional neural network and its pretrained models for image classification and object detection: A survey.
Concurr. Comput. Pract. Exp., 2022
Brain tumor segmentation and overall survival period prediction in glioblastoma multiforme using radiomic features.
Concurr. Comput. Pract. Exp., 2022
Deep learning-based ensemble model for brain tumor segmentation using multi-parametric MR scans.
Open Comput. Sci., 2022
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review.
Comput. Biol. Medicine, 2022
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review.
Comput. Biol. Medicine, 2022
2021
Brain Tumour Segmentation in FLAIR MRI Using Sliding Window Texture Feature Extraction Followed by Fuzzy C-Means Clustering.
Int. J. Heal. Inf. Syst. Informatics, 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
1994
J. Syst. Softw., 1994
1992
Proceedings of the Sixteenth Annual International Computer Software and Applications Conference, 1992
1990
Evaluation of heuristics for inspection station allocation in serial production systems.
Proceedings of the 22th Winter Simulation Conference, 1990