Johnston, Rebecca L.

Multidimensional phenotyping of breast cancer cell lines to guide preclinical research

Saunus, J. M., Smart, C. E., Kutasovic, J. R., Johnston, R. L., Kalita-de Croft, P., Miranda, M., Rozali, E. N., Vargas, A. C., Reid, L. E., Lorsy, E., et al. (2018) · Breast Cancer Research and Treatment

Breast Cancer Treatment StudiesCancer Cells and Metastasis

Cited by 35

Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology

MacDonald, S., Foley, H., Yap, M., Johnston, R. L., Steven, K., Koufariotis, L. T., Sharma, S., Wood, S., Addala, V., Pearson, J. V., et al. (2022) · Scientific Reports

Adversarial Robustness in Machine LearningMachine Learning in Healthcare

Cited by 12

Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology

MacDonald, S., Foley, H., Yap, M., Johnston, R., Steven, K., Koufariotis, L., Sharma, S., Wood, S., Addala, V., Pearson, J., et al. (2022) · Scientific Reports

Adversarial Robustness in Machine LearningMachine Learning in Healthcare

Cited by 12

Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology

MacDonald, S., Foley, H., Yap, M., Johnston, R. L., Steven, K., Koufariotis, L. T., Sharma, S., Wood, S., Addala, V., Pearson, J. V., et al. (2023) · Scientific Reports

Adversarial Robustness in Machine LearningMachine Learning in Healthcare

Cited by 12