| Classification of skin disease using deep learning neural networks with MobileNet V2 and LSTM PN Srinivasu, JG SivaSai, MF Ijaz, AK Bhoi, W Kim, JJ Kang Sensors 21 (8), 2852, 2021 | 632 | 2021 |
| Fine-tuned DenseNet-169 for breast cancer metastasis prediction using FastAI and 1-cycle policy A Vulli, PN Srinivasu, MSK Sashank, J Shafi, J Choi, MF Ijaz Sensors 22 (8), 2988, 2022 | 164 | 2022 |
| From blackbox to explainable AI in healthcare: existing tools and case studies PN Srinivasu, N Sandhya, RH Jhaveri, R Raut Mobile Information Systems 2022 (1), 8167821, 2022 | 115 | 2022 |
| Statistical analysis of design aspects of various YOLO-based deep learning models for object detection U Sirisha, SP Praveen, PN Srinivasu, P Barsocchi, AK Bhoi International Journal of Computational Intelligence Systems 16 (1), 126, 2023 | 108 | 2023 |
| Probabilistic deep Q network for real-time path planning in censorious robotic procedures using force sensors PN Srinivasu, AK Bhoi, RH Jhaveri, GT Reddy, M Bilal Journal of Real-Time Image Processing 18 (5), 1773-1785, 2021 | 73 | 2021 |
| Plant leaf disease detection using CNN algorithm P Deepalakshmi, K Lavanya, PN Srinivasu International Journal of Information System Modeling and Design (IJISMD) 12 …, 2021 | 70 | 2021 |
| Blockchain technology for secured healthcare data communication among the non-terminal nodes in IoT architecture in 5G network PN Srinivasu, AK Bhoi, SR Nayak, MR Bhutta, M Woźniak Electronics 10 (12), 1437, 2021 | 69 | 2021 |
| ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides SP Praveen, PN Srinivasu, J Shafi, M Wozniak, MF Ijaz Scientific Reports 12 (1), 20804, 2022 | 67 | 2022 |
| Ambient assistive living for monitoring the physical activity of diabetic adults through body area networks PN Srinivasu, G JayaLakshmi, RH Jhaveri, SP Praveen Mobile Information Systems 2022 (1), 3169927, 2022 | 63 | 2022 |
| XAI framework for cardiovascular disease prediction using classification techniques P Guleria, P Naga Srinivasu, S Ahmed, N Almusallam, FK Alarfaj Electronics 11 (24), 4086, 2022 | 61 | 2022 |
| Using recurrent neural networks for predicting type-2 diabetes from genomic and tabular data PN Srinivasu, J Shafi, TB Krishna, CN Sujatha, SP Praveen, MF Ijaz Diagnostics 12 (12), 3067, 2022 | 49 | 2022 |
| 6G driven fast computational networking framework for healthcare applications PN Srinivasu, MF Ijaz, J Shafi, M Woźniak, R Sujatha IEEE Access 10, 94235-94248, 2022 | 48 | 2022 |
| An AW-HARIS Based Automated Segmentation of Human Liver Using CT Images. PN Srinivasu, S Ahmed, A Alhumam, AB Kumar, MF Ijaz Computers, Materials & Continua 69 (3), 2021 | 42 | 2021 |
| Self-Learning Network-based segmentation for real-time brain MR images through HARIS PN Srinivasu, VE Balas PeerJ Computer Science 7, e654, 2021 | 40 | 2021 |
| Empirical study on classifiers for earlier prediction of COVID-19 infection cure and death rate in the Indian states P Guleria, S Ahmed, A Alhumam, PN Srinivasu Healthcare 10 (1), 85, 2022 | 38 | 2022 |
| Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays GVE Rao, B Rajitha, PN Srinivasu, MF Ijaz, M Woźniak Biomedical Signal Processing and Control 88, 105567, 2024 | 34 | 2024 |
| An automated segmentation of brain MR image through fuzzy recurrent neural network JG SivaSai, PN Srinivasu, MN Sindhuri, K Rohitha, S Deepika Bio-inspired neurocomputing, 163-179, 2020 | 32 | 2020 |
| A comparative review of optimisation techniques in segmentation of brain MR images P Naga Srinivasu, T Srinivasa Rao, AM Dicu, CA Mnerie, I Olariu Journal of Intelligent & Fuzzy Systems 38 (5), 6031-6043, 2020 | 32 | 2020 |
| AAL and internet of medical things for monitoring type-2 diabetic patients S Ahmed, P Naga Srinivasu, A Alhumam, M Alarfaj Diagnostics 12 (11), 2739, 2022 | 30 | 2022 |
| Software-driven secure framework for mobile healthcare applications in IoMT T Krishna, SP Praveen, S Ahmed, PN Srinivasu Intelligent Decision Technologies 17 (2), 377-393, 2023 | 27 | 2023 |
