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Neurocomputing|February 4, 2017
A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological imagesJun Xu, Xiaofei Luo, Guanhao Wang, et al.
JCO Clinical Cancer Informatics|April 17, 2019
HistoQC: An Open-Source Quality Control Tool for Digital Pathology SlidesAndrew Janowczyk, Ren Zuo, Hannah Gilmore, et al.
Scientific Reports|September 8, 2016
Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide ImagesDavid Romo-Bucheli, Andrew Janowczyk, Hannah Gilmore, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|February 14, 2017
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancersDavid Romo-Bucheli, Andrew Janowczyk, Hannah Gilmore, et al.
Cells|August 7, 2020
Overexpression of Extradomain-B Fibronectin is Associated with Invasion of Breast Cancer CellsAmita Vaidya, Helen Wang, Victoria Qian, et al.
International Journal of Surgical Pathology|February 21, 2023
Breast MALT Lymphoma: A Clinical, Histomorphologic, and Immunophenotypic EvaluationMingfei Yan, Jing Wang, Ramya Gadde, et al.
International Journal of MS Care|April 10, 2025
Developing and Piloting a Dedicated Support Group for Young Adults With Multiple SclerosisNora Sekella, Hannah Gilmore, Eileen French, et al.
Scientific Reports|October 4, 2016
Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological ImagesCheng Lu, Hongming Xu, Jun Xu, et al.
Annals of Diagnostic Pathology|August 24, 2020
Clinicopathological and radiological characterization of myofibroblastoma of breast: A single institutional case reviewMingfei Yan, Phillip Bomeisl, Hannah Gilmore, et al.
IEEE Transactions on Medical Imaging|July 25, 2015
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology ImagesJun Xu, Lei Xiang, Qingshan Liu, et al.
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