| Enhancing local context of histology features in vision transformers R Wood, K Sirinukunwattana, E Domingo, A Sauer, MW Lafarge, ... MICCAI Workshop on Medical Image Assisted Blomarkers' Discovery, 154-163, 2022 | 5 | 2022 |
| Predicting molecular traits from tissue morphology through self-interactive multi-instance learning Y Hu, K Sirinukunwattana, K Gaitskell, R Wood, C Verrill, J Rittscher International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy MW Lafarge, E Domingo, K Sirinukunwattana, R Wood, L Samuel, ... NPJ precision oncology 8 (1), 89, 2024 | | 2024 |
| Quantitative Analysis of Bone Marrow Features Highlights Heterogeneity in Myelofibrosis Patients Treated with Zinpentraxin Alfa in a Phase II Clinical Study H Ryou, K Sirinukunwattana, R Wood, A Aberdeen, J Rittscher, ... Blood 142, 4558, 2023 | | 2023 |
| Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies R Wood, E Domingo, K Sirinukunwattana, MW Lafarge, VH Koelzer, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Flexible and Highly-Efficient Feature Perception for Molecular Traits Prediction via Self-interactive Deep Learning Y Hu, K Sirinukunwattana, B Li, K Gaitskell, W Bonnaffe, ... medRxiv, 2023.07. 30.23293391, 2023 | | 2023 |
