| dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI R Raza, UI Bajwa, Y Mehmood, MW Anwar, MH Jamal Biomedical Signal Processing and Control 79, 103861, 2023 | 135 | 2023 |
| Multi-class classification of brain tumor types from MR images using EfficientNets F Zulfiqar, UI Bajwa, Y Mehmood Biomedical Signal Processing and Control 84, 104777, 2023 | 94 | 2023 |
| Lightweight ResGRU: a deep learning-based prediction of SARS-CoV-2 (COVID-19) and its severity classification using multimodal chest radiography images M Ahmad, UI Bajwa, Y Mehmood, MW Anwar Neural Computing and Applications 35 (13), 9637-9655, 2023 | 10 | 2023 |
| Brain tumor grade classification using multi‐step pre‐training Y Mehmood, UI Bajwa, MW Anwar International Journal of Imaging Systems and Technology 34 (2), e23008, 2024 | 2 | 2024 |
| Brain tumor grade classification using the ConvNext architecture Y Mehmood, UI Bajwa Digital Health 10, 20552076241284920, 2024 | 1 | 2024 |
| Resource-efficient domain adaptive pre-training for medical images Y Mehmood, UI Bajwa, X Sun arXiv preprint arXiv:2204.13280, 2022 | 1 | 2022 |
| Brain Tumor Grade Classification Using Domain-Adaptive Pre-Training Y Mehmood, UI Bajwa, W Anwar Available at SSRN 4485403, 0 | | |
Dr. Usama Ijaz BajwaTenured Associate Professor, COMSATS University Islamabad, Lahore Campusایمیل تأیید شده در cuilahore.edu.pk