| Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ... Nature Machine Intelligence 3 (3), 199-217, 2021 | 1010 | 2021 |
| Unified focal loss: Generalising dice and cross entropy-based losses to handle class imbalanced medical image segmentation M Yeung, E Sala, CB Schönlieb, L Rundo Computerized Medical Imaging and Graphics 95, 102026, 2022 | 448 | 2022 |
| Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy M Yeung, E Sala, CB Schönlieb, L Rundo Computers in biology and medicine 137, 104815, 2021 | 137 | 2021 |
| Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic … N Sushentsev, N Moreira Da Silva, M Yeung, T Barrett, E Sala, M Roberts, ... Insights into imaging 13 (1), 59, 2022 | 47 | 2022 |
| Calibrating the dice loss to handle neural network overconfidence for biomedical image segmentation M Yeung, L Rundo, Y Nan, E Sala, CB Schönlieb, G Yang Journal of Digital Imaging 36 (2), 739-752, 2023 | 45 | 2023 |
| Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation M Yeung, G Yang, E Sala, CB Schönlieb, L Rundo arXiv preprint arXiv:2111.00533, 2021 | 8 | 2021 |
| Patients with young-onset dementia in an older people's mental health service M Yeung, K MacFarland, V Mlilo, N Dean, BR Underwood BJPsych Bulletin 45 (2), 81-86, 2021 | 4 | 2021 |
| Focal Attention Networks: optimising attention for biomedical image segmentation M Yeung, L Rundo, E Sala, CB Schönlieb, G Yang 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 3 | 2022 |
| Attention U-Net ensemble for interpretable polyp and instrument segmentation M Yeung Nordic Machine Intelligence 1 (1), 47-49, 2021 | 3 | 2021 |
| VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition M Yeung, T Teramoto, S Wu, T Fujiwara, K Suzuki, T Kojima arXiv preprint arXiv:2412.06235, 2024 | | 2024 |
| Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation M Yeung, T Watts, SYW Tan, PF Ferreira, AD Scott, S Nielles-Vallespin, ... arXiv preprint arXiv:2311.06552, 2023 | | 2023 |
| From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation M Yeung, T Watts, G Yang Annual Conference on Medical Image Understanding and Analysis, 547-561, 2022 | | 2022 |