| Fine-grained multi-instance classification in microscopy through deep attention M Fan, T Chakraborti, I Eric, C Chang, Y Xu, J Rittscher 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 169-173, 2020 | 14 | 2020 |
| Microscopic fine-grained instance classification through deep attention M Fan, T Chakraborti, EIC Chang, Y Xu, J Rittscher Medical image computing and computer assisted intervention–MICCAI 2020: 23rd …, 2020 | 11 | 2020 |
| Optimizing image sharpening algorithm on GPU M Fan, H Jia, Y Zhang, X An, T Cao 2015 44th International Conference on Parallel Processing, 230-239, 2015 | 5 | 2015 |
| Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19· 67 million people and evaluation of model … W Liao, CAC Coupland, J Burchardt, DR Baldwin, F Gleeson, D Baldwin, ... The Lancet Respiratory Medicine 11 (8), 685-697, 2023 | 4 | 2023 |
| Global probabilistic models for enhancing segmentation with convolutional networks M Fan, J Rittscher 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 4 | 2018 |
| 38 Modelling Class Dependencies for Lung Cancer Subtyping from Digitised Pathology Images G Batchkala, M Fan, B Li, M McCole, C Brambilla, F Gleeson, J Rittscher Lung Cancer 190, 2024 | | 2024 |
| Accurate subtyping of lung cancers by modelling class dependencies G Batchkala, B Li, M Fan, M McCole, C Brambilla, F Gleeson, J Rittscher IEEE, 2024 | | 2024 |
| Automated Annotator: Capturing Expert Knowledge for Free S Elmes, T Chakraborti, M Fan, H Uhlig, J Rittscher 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | | 2021 |
