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2020 – today
- 2024
[j16]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:
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. Frontiers Artif. Intell. 7 (2024)- [j15]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
- [j14]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) - [j13]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) - [j12]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) - [c7]Shantilata Palei, Rakesh Kumar Lenka, Soubhagya Ranjan Mallick, Sanjay Saxena, Pradyumna Kumar Tripathy:
Decentralized Pest Detection in Plants with Blockchain Integrated Machine Learning Models. OCIT 2023: 297-302 - [c6]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 - [c5]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 - [c4]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
- [j11]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:
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review. Comput. Biol. Medicine 142: 105204 (2022) - [j10]Suchismita Das, Gopal Krishna Nayak, Luca Saba, Mannudeep K. Kalra, Jasjit S. Suri, Sanjay Saxena:
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review. Comput. Biol. Medicine 143: 105273 (2022) - [j9]Suchismita Das, Srijib Bose, Gopal Krishna Nayak, Sanjay Saxena:
Deep learning-based ensemble model for brain tumor segmentation using multi-parametric MR scans. Open Comput. Sci. 12(1): 211-226 (2022) - [j8]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) - [j7]Suchismita Das, Srijib Bose, Gopal Krishna Nayak, Suresh Chandra Satapathy, Sanjay Saxena:
Brain tumor segmentation and overall survival period prediction in glioblastoma multiforme using radiomic features. Concurr. Comput. Pract. Exp. 34(20) (2022) - [j6]Suchsimita Das, Mahesh Ku. Swain, Gopal Krishna Nayak, Sanjay Saxena, S. C. Satpathy:
Effect of learning parameters on the performance of U-Net Model in segmentation of Brain tumor. Multim. Tools Appl. 81(24): 34717-34735 (2022) - [j5]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) - [j4]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
- [j3]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) - [j2]Sanjay Saxena, Nitu Kumari, Swati Pattnaik:
Brain Tumour Segmentation in FLAIR MRI Using Sliding Window Texture Feature Extraction Followed by Fuzzy C-Means Clustering. Int. J. Heal. Inf. Syst. Informatics 16(3): 1-20 (2021)
2010 – 2019
- 2019
- [c3]Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena:
Maximum Payload for Digital Image Steganography Obtained by Mixed Edge Detection Mechanism. ICIT 2019: 206-210
1990 – 1999
- 1994
- [j1]Susan Darling Urban, Chiung-hsun Chen Lai, Sanjay Saxena:
The design and translation of ORL: An object retrieval language. J. Syst. Softw. 24(2): 187-206 (1994) - 1992
- [c2]Susan Darling Urban, Chiung-hsun Chen Lai, Sanjay Saxena:
ORL: an object retrieval language interface to an object algebra. COMPSAC 1992: 176-181 - 1990
- [c1]Sanjay Saxena, Chi-Ming Chang, Hin Bun Chow, Jim Lee:
Evaluation of heuristics for inspection station allocation in serial production systems. WSC 1990: 919-922
Coauthor Index
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