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Dr. Sanjay Saxena
Dr. Sanjay Saxena
Director & CEO of RIPITT Foundation and Asst. Prof at Dept. of CSE, IIIT Bhubaneswar, Odisha, India
E-mail confirmado em iiit-bh.ac.in - Página inicial
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Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review
B Jena, S Saxena, GK Nayak, L Saba, N Sharma, JS Suri
Computers in Biology and Medicine 137, 104803, 2021
1162021
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review
S Das, GK Nayak, L Saba, M Kalra, JS Suri, S Saxena
Computers in biology and medicine 143, 105273, 2022
762022
Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine
S Saxena, B Jena, N Gupta, S Das, D Sarmah, P Bhattacharya, T Nath, ...
Cancers 14 (12), 2860, 2022
582022
Image processing tasks using parallel computing in multi core architecture and its applications in medical imaging
S Saxena, N Sharma, S Sharma
International Journal of Advanced Research in Computer and Communication …, 2013
572013
Review of brain tumor segmentation and classification
N Kumari, S Saxena
2018 International conference on current trends towards converging …, 2018
532018
An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature
B Jena, GK Nayak, S Saxena
Machine Vision and Applications 33 (1), 6, 2022
472022
Research Article Parallel Image Processing Techniques, Benefits and Limitations
S Saxena, S Sharma, N Sharma
Research Journal of Applied Sciences, Engineering and Technology 12 (2), 223-238, 2016
452016
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review
JS Suri, M Bhagawati, S Paul, A Protogeron, PP Sfikakis, GD Kitas, ...
Computers in biology and medicine 142, 105204, 2022
432022
Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review
S Paul, M Maindarkar, S Saxena, L Saba, M Turk, M Kalra, P R. Krishnan, ...
Diagnostics 12 (166), 1-25, 2022
422022
Applications of radiomics and radiogenomics in high-grade gliomas in the era of precision medicine
A Fathi Kazerooni, SJ Bagley, H Akbari, S Saxena, S Bagheri, J Guo, ...
Cancers 13 (23), 5921, 2021
392021
Brain tumor characterization using radiogenomics in artificial intelligence framework
B Jena, S Saxena, GK Nayak, A Balestrieri, N Gupta, NN Khanna, ...
Cancers 14 (16), 4052, 2022
322022
Five Strategies for Bias Estimation in Artificial Intelligence-based Hybrid Deep Learning for Acute Respiratory Distress Syndrome COVID-19 Lung Infected Patients using AP(ai …
J S. Suri, S Agarwal, B Jena, S Saxena, A El-Baz, V Agarwal, M K. Kalra, ...
IEEE Transactions on Instrumentation and Measurement, 1-11, 2022
322022
Brain tumor segmentation and overall survival period prediction in glioblastoma multiforme using radiomic features
S Das, S Bose, GK Nayak, SC Satapathy, S Saxena
Concurrency and Computation: Practice and Experience 34 (20), e6501, 2022
312022
A powerful paradigm for cardiovascular risk stratification using multiclass, multi-label, and ensemble-based machine learning paradigms: A narrative review
JS Suri, M Bhagawati, S Paul, AD Protogerou, PP Sfikakis, GD Kitas, ...
Diagnostics 12 (3), 722, 2022
302022
Cardiovascular/stroke risk stratification in Parkinson’s disease patients using atherosclerosis pathway and artificial intelligence paradigm: A systematic review
JS Suri, S Paul, MA Maindarkar, A Puvvula, S Saxena, L Saba, M Turk, ...
Metabolites 12 (4), 312, 2022
272022
Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma
A Fathi Kazerooni, S Saxena, E Toorens, D Tu, V Bashyam, H Akbari, ...
Scientific Reports 12 (1), 8784, 2022
262022
Convolutional neural network and its pretrained models for image classification and object detection: A survey
B Jena, GK Nayak, S Saxena
Concurrency and Computation: Practice and Experience, e6767, 2021
262021
Validation of random dataset using an efficient CNN model trained on MNIST handwritten dataset
A Garg, D Gupta, S Saxena, PP Sahadev
2019 6th international conference on signal processing and integrated …, 2019
252019
Brain tumour segmentation in FLAIR MRI using sliding window texture feature extraction followed by fuzzy C-means clustering
S Saxena, N Kumari, S Pattnaik
International Journal of Healthcare Information Systems and Informatics …, 2021
242021
Secure authentication protocol for 5G enabled IoT network
S Sharma, S Satapathy, S Singh, AK Sahu, MS Obaidat, S Saxena, ...
2018 Fifth International Conference on Parallel, Distributed and Grid …, 2018
212018
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