Topological Descriptors of Histology Images. - Nikhil Singh 002; Heather D. Couture; J. S. Marron; Charles M. Perou; Marc Niethammer (MLMI, 2014)

Hierarchical task-driven feature learning for tumor histology. - Heather D. Couture; J. S. Marron; Nancy E. Thomas; Charles M. Perou; Marc Niethammer (ISBI, 2015)

Appearance normalization of histology slides. - Jared Vicory; Heather D. Couture; Nancy E. Thomas; David Borland; J. S. Marron; John T. Woosley; Marc Niethammer (Comput. Medical Imaging Graph., 2015)

Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology. - Heather D. Couture; J. S. Marron; Charles M. Perou; Melissa A. Troester; Marc Niethammer (MICCAI (2), 2018)

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

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

Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review. - Heather D. Couture (CoRR, 2022)

Inferring Carbon Dioxide Emissions From Power Plants Using Satellite Imagery and Machine Learning. - Madison Hobbs; Ali Rouzbeh Kargar; Heather D. Couture; Jeremy Freeman; Isabella Söldner-Rembold; André Ferreira; Jeyavinoth Jeyaratnam; Joseph O'Connor; Jordan Lewis; Hannes Koenig; Colin McCormick; Tiffany Nakano; et al. (IGARSS, 2023)

Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning. - Heather D. Couture; Madison Alvara; Jeremy Freeman; Aaron Davitt; Hannes Koenig; Ali Rouzbeh Kargar; Joseph O'Connor; Isabella Söldner-Rembold; André Ferreira; Jeyavinoth Jeyaratnam; Jordan Lewis; Colin McCormick; et al. (Remote. Sens., 2024)