| Breast tumor classification in ultrasound images using combined deep and handcrafted features MI Daoud, S Abdel-Rahman, TM Bdair, MS Al-Najar, FH Al-Hawari, ... Sensors 20 (23), 6838, 2020 | 44 | 2020 |
| FedPerl: semi-supervised peer learning for skin lesion classification T Bdair, N Navab, S Albarqouni International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 33 | 2021 |
| A fusion-based approach for breast ultrasound image classification using multiple-ROI texture and morphological analyses MI Daoud, TM Bdair, M Al-Najar, R Alazrai Computational and mathematical methods in medicine 2016, 2016 | 30 | 2016 |
| Semi-supervised federated peer learning for skin lesion classification T Bdair, N Navab, S Albarqouni arXiv preprint arXiv:2103.03703, 2021 | 15 | 2021 |
| ROAM: Random layer mixup for semi‐supervised learning in medical images T Bdair, B Wiestler, N Navab, S Albarqouni IET Image Processing 16 (10), 2593-2608, 2022 | 14 | 2022 |
| Annotation-Efficient Medical Imaging with Deep Learning TMA Bdair Technische Universität München, 2023 | | 2023 |
| Virtual embeddings and self-consistency for self-supervised learning T Bdair, H Abdelhamid, N Navab, S Albarqouni arXiv preprint arXiv:2206.06023, 2022 | | 2022 |
| ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging (preprint) T Bdair, N Navab, S Albarqouni | | 2020 |
| Supervisors T Bdair, S Albarqouni | | |
