63 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
3 papers
Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning
Annette Spooner, Mohammad Karimi Moridani, Azadeh Safarchi +4
The complementary information found in different modalities of patient data can aid in more accurate modelling of a patient's disease state and a better understanding of the underl…
hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images
Raktim Kumar Mondol, Ewan K. A. Millar, Peter H Graham +3
Gene expression can be used to subtype breast cancer with improved prediction of risk of recurrence and treatment responsiveness over that obtained using routine immunohistochemist…
Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning
Md Mamunur Rahaman, Ewan K. A. Millar, Erik Meijering
Tumour heterogeneity in breast cancer poses challenges in predicting outcome and response to therapy. Spatial transcriptomics technologies may address these challenges, as they pro…