| Transformers in medical imaging: A survey F Shamshad, S Khan, SW Zamir, MH Khan, M Hayat, FS Khan, H Fu Medical Image Analysis 88, 102802, 2023 | 1284 | 2023 |
| Blind image deconvolution using deep generative priors M Asim, F Shamshad, A Ahmed IEEE Transactions on Computational Imaging 6, 1493-1506, 2020 | 160* | 2020 |
| A survey on deep reinforcement learning for audio-based applications S Latif, H Cuayáhuitl, F Pervez, F Shamshad, HS Ali, E Cambria Artificial Intelligence Review 56 (3), 2193-2240, 2023 | 141 | 2023 |
| Untrained neural network priors for inverse imaging problems: A survey A Qayyum, I Ilahi, F Shamshad, F Boussaid, M Bennamoun, J Qadir IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6511-6536, 2022 | 132 | 2022 |
| Transformers in speech processing: Overcoming challenges and paving the future S Latif, SAM Zaidi, H Cuaya, F Shamshad, M Shoukat, M Usama, J Qadir Computer Science Review 58, 100768, 2025 | 118* | 2025 |
| Compressed sensing-based robust phase retrieval via deep generative priors F Shamshad, A Ahmed IEEE Sensors Journal 21 (2), 2286-2298, 2020 | 69* | 2020 |
| Sparks of large audio models: A survey and outlook S Latif, M Shoukat, F Shamshad, M Usama, Y Ren, H Cuayáhuitl, W Wang, ... arXiv preprint arXiv:2308.12792, 2023 | 62 | 2023 |
| CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search F Shamshad, M Naseer, K Nandakumar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 59 | 2023 |
| Deep ptych: Subsampled fourier ptychography using generative priors F Shamshad, F Abbas, A Ahmed ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 54 | 2019 |
| Towards an adversarially robust normalization approach M Awais, F Shamshad, SH Bae arXiv preprint arXiv:2006.11007, 2020 | 42* | 2020 |
| Transformers in medical imaging: A survey. arXiv 2022 F Shamshad, S Khan, SW Zamir, MH Khan, M Hayat, FS Khan, H Fu arXiv preprint arXiv:2201.09873 10, 0 | 30 | |
| Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors A Qayyum, W Sultani, F Shamshad, R Tufail, J Qadir Computers in Biology and Medicine 148, 105879, 2022 | 24 | 2022 |
| PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning N Hussein, F Shamshad, M Naseer, K Nandakumar International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 19 | 2024 |
| Baple: Backdoor attacks on medical foundational models using prompt learning A Hanif, F Shamshad, M Awais, M Naseer, FS Khan, K Nandakumar, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 18 | 2024 |
| Stereo: A two-stage framework for adversarially robust concept erasing from text-to-image diffusion models K Srivatsan, F Shamshad, M Naseer, VM Patel, K Nandakumar Proceedings of the Computer Vision and Pattern Recognition Conference, 23765 …, 2025 | 14* | 2025 |
| Transformers in medical imaging: a survey. 2022 F Shamshad, S Khan, SW Zamir, MH Khan, M Hayat, FS Khan, H Fu arXiv preprint arXiv:2201.09873, 0 | 14 | |
| Subsampled Fourier ptychography via pretrained invertible and untrained network priors F Shamshad, A Hanif, A Ahmed NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019 | 12 | 2019 |
| Single-shot retinal image enhancement using deep image priors A Qayyum, W Sultani, F Shamshad, J Qadir, R Tufail Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 11 | 2020 |
| Makeup-guided facial privacy protection via untrained neural network priors F Shamshad, M Naseer, K Nandakumar European Conference on Computer Vision, 227-246, 2025 | 10 | 2025 |
| Adaptive ptych: Leveraging image adaptive generative priors for subsampled fourier ptychography F Shamshad, A Hanif, F Abbas, M Awais, A Ahmed Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 10 | 2019 |
Salman KhanMBZUAI, Australian National UniversityVerified email at anu.edu.au
