Authors & Contributors

Research Publications

1. N. Nazir, A. Sarwar, O. Dahiya, V. Gandotra, and S. Pathan, “DeepSeg-Net: A novel approach for automated segmentation of cytoplasm and nucleus in pap smear images for enhanced cervical cancer diagnosis,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 14, no. 1, 2026.
2. N. Nazir, A. Sarwar, and B. S. Saini, “PAP-Net: A systematic framework for denoising pap smear images,” SN Computer Science, vol. 6, no. 5, 2025.
3. R. Khajuria and A. Sarwar, “Active reinforcement learning based approach for localization of region of interest in cervical cell images,” Multimedia Tools and Applications, vol. 84, no. 17, 2025.
4. D. Sambyal and A. Sarwar, “Multi-class instance segmentation for detection of cervical cancer cells using modified Mask R-CNN,” in Next Generation Computing and Information Systems, CRC Press, 2024.
5. R. Khajuria and A. Sarwar, “Review of reinforcement learning applications in segmentation, chemotherapy, and radiotherapy of cancer,” Micron, vol. 178, 2024.
6. D. Sambyal and A. Sarwar, “Recent developments in cervical cancer diagnosis using deep learning on whole slide images,” Micron, vol. 173, 2023.
7. N. Nazir et al., “A robust deep learning approach for accurate segmentation of cytoplasm and nucleus in noisy pap smear images,” Computation, vol. 11, no. 10, 2023.
8. R. Khajuria and A. Sarwar, “Reinforcement learning in medical diagnosis: An overview,” in Proceedings of the International Conference on Recent Innovations in Computing, 2022.
9. A. A. Mir and A. Sarwar, “Artificial intelligence-based techniques for analysis of body cavity fluids: A review,” Artificial Intelligence Review, vol. 54, no. 6, 2021.
10. R. Khajuria, A. Quyoom, and A. Sarwar, “A comparison of deep reinforcement learning and deep learning for complex image analysis,” Journal of Multimedia Information System, vol. 7, no. 1, 2020.
11. A. Sarwar, A. A. Sheikh, J. Manhas, and V. Sharma, “Segmentation of cervical cells for automated screening of cervical cancer: A review,” Artificial Intelligence Review, vol. 53, no. 4, 2020.
12. M. Ali, A. Sarwar, V. Sharma, and J. Suri, “Artificial neural network based screening of cervical cancer using hierarchical modular neural network architecture,” Neural Computing and Applications, vol. 31, no. 7, 2019.
13. A. Sarwar et al., “Novel benchmark database of digitized and calibrated cervical cells for artificial intelligence-based screening of cervical cancer,” Journal of Ambient Intelligence and Humanized Computing, vol. 7, 2016.
14. A. Sarwar et al., “Performance evaluation of machine learning techniques for screening of cervical cancer,” in Proceedings of the International Conference on Computing for Sustainable Global Development (INDIACom), 2015.
15. A. Sarwar, V. Sharma, and R. Gupta, “Hybrid ensemble learning technique for screening of cervical cancer using Papanicolaou smear image analysis,” Personalized Medicine Universe, vol. 4, 2015.