Sanjay Saxena

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 20

Top Topics

Tumor Segmentation

Machine Learning

Magnetic Resonance

Top Venues

Comput. Biol. Medicine

Multim. Tools Appl.

Concurr. Comput. Pract. Exp.

Publications

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) (2024)
Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun K. 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)
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) (2023)
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 (2023)
Mullapudi Venkata Sai Samartha, Gorantla Maheswar, Shantilata Palei, Biswajit Jena, Sanjay Saxena
Synthesis of Glioblastoma Segmentation Data Using Generative Adversarial Network. CVIP (2) (2023)
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)
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)
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) (2023)
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)
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 (2022)
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)
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) (2022)
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)
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) (2022)
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) (2022)
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) (2022)
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 (2022)
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) (2021)
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 (2021)
Biswajit Jena, Gopal Krishna Nayak, Sanjay Saxena
Maximum Payload for Digital Image Steganography Obtained by Mixed Edge Detection Mechanism. ICIT (2019)
Susan Darling Urban, Chiung-hsun Chen Lai, Sanjay Saxena
The design and translation of ORL: An object retrieval language. J. Syst. Softw. 24 (2) (1994)
Susan Darling Urban, Chiung-hsun Chen Lai, Sanjay Saxena
ORL: an object retrieval language interface to an object algebra. COMPSAC (1992)
Sanjay Saxena, Chi-Ming Chang, Hin Bun Chow, Jim Lee
Evaluation of heuristics for inspection station allocation in serial production systems. WSC (1990)