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B. Nageswara Rao

ORCID: 0000-0002-6592-6344
Observed ORCID: 0000-0002-6592-6344
OpenAlex ID: A5101743334
Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images
2021 · U. Raghavendra, The-Hanh Pham, et al. · Complex & Intelligent Systems · 51
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Deep Transfer Learning for Automatic Prediction of Hemorrhagic Stroke on CT Images
2022 · B. Nageswara Rao, Sudhansu Mohanty, et al. · Computational and Mathematical Methods in Medicine · 37
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Transfer learning based epileptic seizure classification using scalogram images of EEG signals
2024 · Sasweta Pattnaik, B. Nageswara Rao, et al. · Multimedia Tools and Applications · 24
A Novel Hybrid Deep Learning Framework for Detection and Categorization of Brain Tumor from Magnetic Resonance Images
2023 · Yousef Methkal Abd Algani, B. Nageswara Rao, et al. · International Journal of Advanced Computer Science and Applications · 23
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Convolutional autoencoder-based deep learning for intracerebral hemorrhage classification using brain CT images
2025 · B. Nageswara Rao, U. Rajendra Acharya, et al. · Cognitive Neurodynamics · 6
Deep Learning Approach to Predict Intracerebral Hemorrhage and Grad-Cam Visualization on CT Images
2024 · B. Nageswara Rao, Sukanta Kumar Sabut, et al. · International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI) · 3
Review of Various Feature Selection Algorithms and Techniques for Bioinformatics
2020 · B. Nageswara Rao, T. Hirwarkar · Advances in Mathematics Scientific Journal · 1
Machine Learning-Driven Resource Distribution Device for Sustainable Economic Growth
2026 · B. Gopinath, Vindavam Vasu, et al. · International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI)
Lightweight Multi-Path CNN with Multi-Scale Feature Fusion for Interpretable Classification of Intracerebral Hemorrhage in CT Images
2025 · B. Nageswara Rao, Sukanta Kumar Sabut · International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU)
Works count: 9
Citation count: 145
H-index: 5
I10-index: 4
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