3 citations · 8 across the 4 of their papers we have counts for
4 papers
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review
Heather D. Couture
Molecular and genomic properties are critical in selecting cancer treatments to target individual tumors, particularly for immunotherapy. However, the methods to assess such proper…
Joint and individual analysis of breast cancer histologic images and genomic covariates
Iain Carmichael, Benjamin C. Calhoun, Katherine A. Hoadley +8
A key challenge in modern data analysis is understanding connections between complex and differing modalities of data. For example, two of the main approaches to the study of breas…
Deep Multi-View Learning via Task-Optimal CCA
Heather D. Couture, Roland Kwitt, J. S. Marron +3
Canonical Correlation Analysis (CCA) is widely used for multimodal data analysis and, more recently, for discriminative tasks such as multi-view learning; however, it makes no use…
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
Heather D. Couture, J. S. Marron, Charles M. Perou +2
Multiple instance (MI) learning with a convolutional neural network enables end-to-end training in the presence of weak image-level labels. We propose a new method for aggregating…