Journal Articles

H. D. Couture, “Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review,“ Journal of Personalized Medicine Special Issue Applications of Machine Learning and Deep Learning in Precision Medicine, 12 (12), 2022. article pdf

I. Carmichael, B. C. Calhoun, K. A. Hoadley, M. A. Troester, J. Geradts, H. D. Couture, L. Olsson, C. M. Perou, M. Niethammer, J. Hannig, J. S. Marron, "Joint and individual analysis of breast cancer histologic images and genomic covariates," Ann. Appl. Stat. 15 (4), 2021. article

H. D. Couture, L. Williams, J. Geradts, S. Nyante, E. Butler, J. Marron, C. Perou, M. Troester, and M. Niethammer, “Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype,” npj Breast Cancer, 2018. article code

J. Vicory, H. D. Couture, N. E. Thomas, D. Borland, J. Marron, J. Woosley, and M. Niethammer, “Appearance normalization of histology slides,” Computerized Medical Imaging and Graphics, vol. 43, pp. 89–98, 2015. article

J. Percy, H. Dunlop, L. Kassim, and R. Thompson, “Periods of 25 pulsating red giants,” International Astronomical Union -Information Bulletin on Variable Stars, vol. 5041, 2001. article

Conference Papers

H. D. Couture, J. O'Connor, G. Mitchell, I. Söldner-Rembold, D. D'souza, K. Karra, K. Zhang, A. Rouzbeh Kargar, T. Kassel, B. Goldman, D. Tyrrell, W. Czerwinski, A. Talekar, C. McCormick, "Towards Tracking the Emissions of Every Power Plant on the Planet," in NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning, 2020. article slides talk

H. D. Couture, J. S. Marron, C. M. Perou, M. A. Troester, and M. Niethammer, “Multiple instance learning for heterogeneous images: Training a CNN for histopathology,” in Proc. MICCAI, 2018. article poster

H. Couture, J. Marron, N. Thomas, C. Perou, and M. Niethammer, “Hierarchical task-driven feature learning for tumor histology,” in Proc. International Symposium on Biomedical Imaging, 2015. article poster

N. Singh, H. Couture, J. Marron, C. Perou, and M. Niethammer, “Topological descriptors of histology images,” in Proc. MICCAI Workshop on Machine Learning and Medical Imaging, 2014. article

H. Dunlop, “Scene classification of images and video via semantic segmentation,” in Proc. CVPR Workshop on Perceptual Organization in Computer Vision, 2010. article presentation

H. Dunlop, D. Thompson, and D. Wettergreen, “Multi-scale features for detection and segmentation of rocks in Mars images,” in Proc. CVPR, 2007. article poster


H. D. Couture, R. K. Kwitt, J. S. Marron, M. Troester, C. M. Perou, and M. Niethammer, “Deep Multi-View Learning via Task-Optimal CCA,” 2019. arxiv

Other Publications

H. D. Couture, Discriminative Representations for Heterogeneous Images and Multimodal Data. PhD thesis, Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, 2019. dissertation defense

H. Dunlop, “Automatic rock detection and classification in natural scenes,” Master’s thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, August 2006. thesis presentation


H. D. Couture, L. A. Williams, S. Nyante, J. Marron, C. Perou, M. Troester, M. Niethammer, J. Geradts, and E. Butler, “Methods, systems, and computer readable media for image analysis with deep learning to predict breast cancer grade, estrogen receptor (ER) status, histologic subtype, and intrinsic subtype,” Nov. 8 2018. US Patent Application No. 62/757,716.

H. Dunlop and M. G. Berry, “Systems and methods for semantically classifying and normalizing shots in video,” Aug. 2 2016. US Patent No. 9,405,976.

H. Dunlop and M. G. Berry, “Systems and methods for semantically classifying and extracting shots in video,” Apr. 28 2015. US Patent No. 9,020,263.

H. Dunlop and M. G. Berry, “Systems and methods for semantically classifying shots in video,” Nov. 13 2012. US Patent No. 8,311,344.