Slipchenko, M., Whitney, J., Thawani, R., Gilmore, H., Badve, S., & Madabhushi, A.(2018).Abstract P4-09-12: Quantitative image features of nuclear and tubule architecture distinguish high and low oncotype DX risk categories of ductal carcinoma in situ from H&E tissue images.Cancer Research,78(4 Supplement),P4-09-12-P4-09-12.
Whitney, J., Romeo-Bucheli, D., Janowczyk, A., Ganesan, S., Feldman, M., Gilmore, H., & Madabhushi, A.(2018).Abstract P4-09-11: Computer extracted features of tumor grade from H&E images predict oncotype DX risk categories for early stage ER+ breast cancer.Cancer Research,78(4 Supplement),P4-09-11-P4-09-11.
Romo-Bucheli, D., Janowczyk, A., Gilmore, H., Romero, E., & Madabhushi, A.(2017).A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers..Cytometry. Part A : the journal of the International Society for Analytical Cytology.
Lu, W., Xu, Y., Xu, J., Gilmore, H., Mandal, M., & Madabhushi, A.(2016).Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images..Scientific reports,6, 33985.
Romo-Bucheli, D., Janowczyk, A., Gilmore, H., Romero, E., & Madabhushi, A.(2016).Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images..Scientific reports,6, 32706.
Xu, J., Luo, R., Wang, P., Gilmore, H., & Madabhushi, A.(2016).A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images..Neurocomputing,191, 214-223.
Wang, X., Bloch, B., Plecha, D., Thompson, C., Gilmore, H., Jaffe, C., Harris, L., & Madabhushi, A.(2016).A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores..Scientific reports,6, 21394.
Varadan, V., Kamalakaran, S., Gilmore, H., Banerjee, N., Janevski, A., Miskimen, K., Williams, V., Basavanhalli, A., Madabhushi, A., Lezon-Geyda, K., Bossuyt, V., Lannin, D., Abu-Khalaf, M., Sikov, W., Dimitrova, N., & Harris, L.(2016).Brief-exposure to preoperative bevacizumab reveals a TGF-β signature predictive of response in HER2-negative breast cancers..International journal of cancer,138(3),747-57.
Xu, J., Xiang, L., Liu, Q., Gilmore, H., Wu, J., Stangl, J., & Madabhushi, A.(2016).Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images..IEEE transactions on medical imaging,35(1),119-30.
Xu, J., Xiang, L., Wang, P., Ganesan, S., Feldman, M., Shih, N., Gilmore, H., & Madabhushi, A.(2015).Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis..Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society,46 Pt 1, 20-9.
Wang, Z., Cruz-Roa, A., Basavanhally, A., Gilmore, H., Shih, N., Feldman, M., Tomaszewski, J., Gonzalez, F., & Madabhushi, A.(2014).Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features..Journal of medical imaging (Bellingham, Wash.),1(3),034003.
