| Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques NS Punn, SK Sonbhadra, S Agarwal, G Rai arXiv preprint arXiv:2005.01385, 2020 | 307 | 2020 |
| Face mask detection using transfer learning of inceptionv3 G Jignesh Chowdary, NS Punn, SK Sonbhadra, S Agarwal Big Data Analytics: 8th International Conference, BDA 2020, Sonepat, India …, 2020 | 305 | 2020 |
| COVID-19 epidemic analysis using machine learning and deep learning algorithms NS Punn, SK Sonbhadra, S Agarwal MedRxiv, 2020.04. 08.20057679, 2020 | 294 | 2020 |
| Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks NS Punn, S Agarwal Applied Intelligence 51 (5), 2689-2702, 2021 | 230 | 2021 |
| Modality specific U-Net variants for biomedical image segmentation: a survey NS Punn, S Agarwal Artificial Intelligence Review 55 (7), 5845-5889, 2022 | 122 | 2022 |
| Inception u-net architecture for semantic segmentation to identify nuclei in microscopy cell images NS Punn, S Agarwal ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020 | 102 | 2020 |
| Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review S Agarwal, NS Punn, SK Sonbhadra, M Tanveer, P Nagabhushan, ... arXiv preprint arXiv:2005.11507, 2020 | 94 | 2020 |
| RCA-IUnet: a residual cross-spatial attention-guided inception U-Net model for tumor segmentation in breast ultrasound imaging NS Punn, S Agarwal Machine Vision and Applications 33 (2), 27, 2022 | 48 | 2022 |
| Bert-based sentiment analysis: A software engineering perspective H Batra, NS Punn, SK Sonbhadra, S Agarwal Database and Expert Systems Applications: 32nd International Conference …, 2021 | 44 | 2021 |
| Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation NS Punn, S Agarwal Multimedia tools and applications 80 (20), 30305-30320, 2021 | 40 | 2021 |
| Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques. arXiv 2020 NS Punn, SK Sonbhadra, S Agarwal, G Rai arXiv preprint arXiv:2005.01385, 2005 | 38 | 2005 |
| Crowd analysis for congestion control early warning system on foot over bridge NS Punn, S Agarwal 2019 twelfth international conference on contemporary computing (IC3), 1-6, 2019 | 32 | 2019 |
| Chs-net: A deep learning approach for hierarchical segmentation of covid-19 via ct images NS Punn, S Agarwal Neural Processing Letters 54 (5), 3771-3792, 2022 | 28 | 2022 |
| BT-Unet: A self-supervised learning framework for biomedical image segmentation using barlow twins with U-net models NS Punn, S Agarwal Machine Learning 111 (12), 4585-4600, 2022 | 23 | 2022 |
| Hate speech detection using static bert embeddings G Rajput, NS Punn, SK Sonbhadra, S Agarwal Big Data Analytics: 9th International Conference, BDA 2021, Virtual Event …, 2021 | 20 | 2021 |
| White blood cell subtype detection and classification N Praveen, NS Punn, SK Sonbhadra, S Agarwal, M Syafrullah, K Adiyarta 2021 8th international conference on electrical engineering, computer …, 2021 | 18 | 2021 |
| COVID-19 epidemic analysis using machine learning and deep learning algorithms. medRxiv 2020 NS Punn, SK Sonbhadra, S Agarwal Google Scholar][CrossRef][Green Version], 0 | 18 | |
| Anomaly detection in surveillance videos using transformer based attention model K Deshpande, NS Punn, SK Sonbhadra, S Agarwal International Conference on Neural Information Processing, 199-211, 2022 | 16 | 2022 |
| Enhanced behavioral cloning-based self-driving car using transfer learning U Sumanth, NS Punn, SK Sonbhadra, S Agarwal Data Management, Analytics and Innovation: Proceedings of ICDMAI 2021 …, 2021 | 13 | 2021 |
| Addressing the class imbalance problem in medical image segmentation via accelerated tversky loss function N Nasalwai, NS Punn, SK Sonbhadra, S Agarwal Pacific-Asia conference on knowledge discovery and data mining, 390-402, 2021 | 13 | 2021 |
Sonali AgarwalAssociate Professor, Indian Institute of Information Technology, Allahabad, India在 iiita.ac.in 的电子邮件经过验证
