| Multimodal skin lesion classification using deep learning J Yap, W Yolland, P Tschandl Experimental dermatology 27 (11), 1261-1267, 2018 | 270 | 2018 |
| Ensembling convolutional neural networks for skin cancer classification A Nozdryn-Plotnicki, J Yap, W Yolland International Skin Imaging Collaboration (ISIC) Challenge on Skin Image …, 2018 | 41 | 2018 |
| Comparison of humans versus mobile phone-powered artificial intelligence for the diagnosis and management of pigmented skin cancer in secondary care: a multicentre, prospective … SW Menzies, C Sinz, M Menzies, SN Lo, W Yolland, J Lingohr, ... The Lancet Digital Health 5 (10), e679-e691, 2023 | 28 | 2023 |
| Can self-training identify suspicious ugly duckling lesions? M Mohseni, J Yap, W Yolland, A Koochek, S Atkins Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 12 | 2021 |
| Linking neural collapse and l2 normalization with improved out-of-distribution detection in deep neural networks J Haas, W Yolland, BT Rabus Transactions on Machine Learning Research, 2022 | 10 | 2022 |
| Existence of a difference set in the last group of order 256 W Yolland summer research report, Simon Fraser University, 2016 | 4 | 2016 |
| Out-of-distribution detection for dermoscopic image classification M Mohseni, J Yap, W Yolland, M Razmara, MS Atkins arXiv preprint arXiv:2104.07819, 2021 | 3 | 2021 |
| Constructions of difference sets in nonabelian 2-groups T Applebaum, J Clikeman, JA Davis, JF Dillon, J Jedwab, T Rabbani, ... Algebra & Number Theory 17 (2), 359-396, 2023 | 2 | 2023 |
| Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization J Haas, W Yolland, BT Rabus Transactions on Machine Learning Research, 2023 | 1* | 2023 |
| Algebra & Number Theory T Applebaum, J Clikeman, JA Davis, JF Dillon, J Jedwab, T Rabbani, ... ALGEBRA AND NUMBER THEORY 17 (2), 2023 | | 2023 |
