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 | 121 | 2021 |
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 | 62 | 2022 |
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), 1-16, 2021 | 47 | 2021 |
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 | 38 | 2022 |
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 … JS Suri, S Agarwal, B Jena, S Saxena, A El-Baz, V Agarwal, MK Kalra, ... IEEE Transactions on Instrumentation and Measurement, 2022 | 34 | 2022 |
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 | 31 | 2021 |
Analysis of depth variation of U-NET architecture for brain tumor segmentation B Jena, S Jain, GK Nayak, S Saxena Multimedia Tools and Applications 82 (7), 10723-10743, 2023 | 20 | 2023 |
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation S Saxena, B Jena, B Mohapatra, N Gupta, M Kalra, M Scartozzi, L Saba, ... Computers in Biology and Medicine 153, 106492, 2023 | 17 | 2023 |
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 B Jena, GK Nayak, S Paul, S Saxena SN Computer Science 3 (5), 418, 2022 | 11 | 2022 |
High-Performance Computing and Its Requirements in Deep Learning B Jena, GK Nayak, S Saxena High-Performance Medical Image Processing, 255-288, 2022 | 10 | 2022 |
Maximum payload for digital image steganography obtained by mixed edge detection mechanism B Jena, GK Nayak, S Saxena 2019 International Conference on Information Technology (ICIT), 206-210, 2019 | 9 | 2019 |
Comprehensive Review of Abdominal Image Segmentation using Soft and Hard Computing Approaches B Jena, GK Nayak, S Saxena 2020 International Conference on Computer Science, Engineering and …, 2020 | 8 | 2020 |
Effect of learning parameters on the performance of the U-Net architecture for cell nuclei segmentation from microscopic cell images B Jena, D Digdarshi, S Paul, GK Nayak, S Saxena Microscopy 72 (3), 249-264, 2023 | 7 | 2023 |
Malaria Parasites Detection Using Deep Neural Network B Jena, P Thakar, V Nayak, GK Nayak, S Saxena Deep Learning Applications in Medical Imaging, 209-222, 2021 | 7 | 2021 |
Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine … S Saxena, A Agrawal, P Dash, B Jena, NN Khanna, S Paul, MM Kalra, ... Neural Computing and Applications 35 (18), 13647-13663, 2023 | 6 | 2023 |
Image classification for binary classes using deep convolutional neural network: an experimental study B Jena, AK Dash, GK Nayak, P Mohapatra, S Saxena Trends of Data Science and Applications: Theory and Practices, 197-209, 2021 | 6 | 2021 |
Survey and analysis of content-based image retrieval Systems B Jena, GK Nayak, S Saxena Control Applications in Modern Power System: Select Proceedings of EPREC …, 2021 | 5 | 2021 |
Resource Management Challenges in IoT Based Healthcare System R Pradhan, AK Dash, B Jena Smart Healthcare Analytics: State of the Art, 31-41, 2022 | 4 | 2022 |
High payload digital image steganography using mixed edge detection mechanism B Jena | 3 | 2014 |
A Comprehensive Analytical Study of Traditional and Recent Development in Natural Language Processing A Datta, B Jena, AK Dash, R Pradhan International Journal 10 (5), 2021 | 2 | 2021 |