Hannah Gilmore

According to our database, Hannah Gilmore authored at least 7 papers between 2014 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images.

Andrew Janowczyk, Scott Doyle, Hannah Gilmore, Anant Madabhushi

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

2016

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.

Jun Xu, Lei Xiang, Qingshan Liu, Hannah Gilmore, Jianzhong Wu, Jinghai Tang, Anant Madabhushi

IEEE Trans. Medical Imaging, 2016

A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.

Jun Xu, Xiaofei Luo, Guanhao Wang, Hannah Gilmore, Anant Madabhushi

Neurocomputing, 2016

Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images.

David Romo-Bucheli, Andrew Janowczyk, Eduardo Romero, Hannah Gilmore, Anant Madabhushi

Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

2015

Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.

Jun Xu, Lei Xiang, Guanhao Wang, Shridar Ganesan, Michael D. Feldman, Natalie N. C. Shih, Hannah Gilmore, Anant Madabhushi

Comput. Medical Imaging Graph., 2015

2014

Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection.

Haibo Wang, Angel Cruz-Roa, Ajay Basavanhally, Hannah Gilmore, Natalie Shih, Mike Feldman, John Tomaszewski, Fabio A. González, Anant Madabhushi

Proceedings of the Medical Imaging 2014: Digital Pathology, 2014

Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks.

Angel Cruz-Roa, Ajay Basavanhally, Fabio A. González, Hannah Gilmore, Michael D. Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, Anant Madabhushi

Proceedings of the Medical Imaging 2014: Digital Pathology, 2014