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Sanjay Saxena
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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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last updated on 2024-08-23 19:25 CEST by the dblp team
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