Publications

Heather D. Couture (2019). Discriminative Representations for Heterogeneous Images and Multimodal Data. Doctoral Dissertation.

Heather D. Couture, Roland Kwitt, J. S. Marron, Melissa A. Troester, Charles M. Perou, Marc Niethammer (2019). Deep Multi-View Learning via Task-Optimal CCA. arXiv preprint 1907.07739.

Heather D. Couture, J. S. Marron, Charles M. Perou, Melissa A. Troester, Marc Niethammer (2018). Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology. Proc. MICCAI.

Heather D. Couture, Lindsay Williams, Joseph Geradts, Sarah Nyante, Eboneé Butler, J. S. Marron, Charles Perou, Melissa Troester, Marc Niethammer (2018). Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype. npj Breast Cancer.

H. D. Couture, J. S. Marron, N. E. Thomas, C. M. Perou, M. Niethammer (2015). Hierarchical Task-Driven Feature Learning for Tumor Histology. Proc. International Symposium on Biomedical Imaging.

Jared Vicory, Heather D Couture, Nancy E Thomas, David Borland, JS Marron, John Woosley, Marc Niethammer (2015). Appearance normalization of histology slides. Computerized Medical Imaging and Graphics.

N. Singh, H. D. Couture, J. S. Marron, C. Perou, M. Niethammer (2014). Topological Descriptors of Histology Images. Proc. MICCAI Workshop on Machine Learning and Medical Imaging.

H. Dunlop (2010). Scene classification of images and video via semantic segmentation. Proc. CVPR Workshop on Perceptual Organization in Computer Vision.

H. Dunlop, D. R. Thompson, D. Wettergreen (2007). Multi-scale Features for Detection and Segmentation of Rocks in Mars Images. Proc. CVPR.

Heather Dunlop (2006). Automatic Rock Detection and Classification in Natural Scenes. Masters Thesis.

J. R. Percy, H. Dunlop, L. Kassim, R. R. Thompson (2001). Periods of 25 Pulsating Red Giants. International Astronomical Union -Information Bulletin on Variable Stars.