| Deep3DSCan: Deep residual network and morphological descriptor based framework for lung cancer classification and 3D segmentation G Bansal, V Chamola, P Narang, S Kumar, S Raman IET Image Processing 14 (7), 1240-1247, 2020 | 54 | 2020 |
| A machine learning approach for traffic flow provisioning in software defined networks S Kumar, G Bansal, VS Shekhawat 2020 International Conference on Information Networking (ICOIN), 602-607, 2020 | 23 | 2020 |
| Lung Nodule Segmentation Using 3-Dimensional Convolutional Neural Networks S Kumar, S Raman 2018 Soft Computing for Problem Solving, 585-596, 2020 | 12 | 2020 |
| Advances in the diagnosis of herpes simplex stromal necrotising keratitis: A feasibility study on deep learning approach R Natarajan, H Matai, S Raman, S Kumar, S Ravichandran, ... Indian Journal of Opthalmology 70 (9), 3279-3283, 2022 | 8 | 2022 |
| Detecting Domain Generation Algorithms to prevent DDoS attacks using Deep Learning S Kumar, A Bhatia 2019 IEEE International Conference on Advanced Networks and …, 2020 | 7 | 2020 |
| Using Auxiliary Inputs in Deep Learning Models for Detecting DGA-based Domain Names I Ghosh, S Kumar, A Bhatia, DK Vishwakarma 2021 International Conference on Information Networking (ICOIN), 391-396, 2021 | 6 | 2021 |
| Benchmarking State-of-the-Art Methodologies for Optic Disc Segmentation S Kumar, S Raman Soft Computing for Problem Solving: Proceedings of the SocProS 2022, 1-12, 2023 | 1 | 2023 |
| A Variational Training Perspective to GANs for Hyperspectral Image Generation H Sinha, S Kumar, S Chaudhury 2020 Soft Computing for Problem Solving 1392, 417-429, 2021 | 1 | 2021 |
| Deep learning based estimation of patient anthropometric data for intelligent scan planning in MR S Kumar, H Rai International Society for Magnetic Resonance in Medicine 2023, 2023 | | 2023 |
Gaurang BansalNational University of Singapore, Google PhD FellowVerified email at u.nus.edu
