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

nork Janowczyk, Andrew, Doyle, Scott, Gilmore, Hannah, Madabhushi, Anant
Argitaratua izan da Comput Methods Biomech Biomed Eng Imaging Vis (2016)

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

nork Xu, Jun, Luo, Xiaofei, Wang, Guanhao, Gilmore, Hannah, Madabhushi, Anant
Argitaratua izan da Neurocomputing (2016)

HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides

nork Janowczyk, Andrew, Zuo, Ren, Gilmore, Hannah, Feldman, Michael, Madabhushi, Anant
Argitaratua izan da JCO Clin Cancer Inform (2019)

Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images

nork Romo-Bucheli, David, Janowczyk, Andrew, Gilmore, Hannah, Romero, Eduardo, Madabhushi, Anant
Argitaratua izan da Sci Rep (2016)

A Deep Learning Based Strategy for Identifying and Associating Mitotic Activity with Gene Expression Derived Risk Categories in Estrogen Receptor Positive Breast Cancers

nork Romo-Bucheli, David, Janowczyk, Andrew, Gilmore, Hannah, Romero, Eduardo, Madabhushi, Anant
Argitaratua izan da Cytometry A (2017)

Overexpression of Extradomain-B Fibronectin is Associated with Invasion of Breast Cancer Cells

nork Vaidya, Amita, Wang, Helen, Qian, Victoria, Gilmore, Hannah, Lu, Zheng-Rong
Argitaratua izan da Cells (2020)

Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images

nork Lu, Cheng, Xu, Hongming, Xu, Jun, Gilmore, Hannah, Mandal, Mrinal, Madabhushi, Anant
Argitaratua izan da Sci Rep (2016)

Tumor Microenvironmental Signaling Elicits Epithelial-Mesenchymal Plasticity through Cooperation with Transforming Genetic Events

nork Junk, Damian J, Cipriano, Rocky, Bryson, Benjamin L, Gilmore, Hannah L, Jackson, Mark W
Argitaratua 2013

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

nork Xu, Jun, Xiang, Lei, Liu, Qingshan, Gilmore, Hannah, Wu, Jianzhong, Tang, Jinghai, Madabhushi, Anant
Argitaratua izan da IEEE Trans Med Imaging (2015)

Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images

nork Xu, Jun, Gong, Lei, Wang, Guanhao, Lu, Cheng, Gilmore, Hannah, Zhang, Shaoting, Madabhushi, Anant
Argitaratua izan da J Med Imaging (Bellingham) (2019)

Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings

nork Li, Haojia, Whitney, Jon, Bera, Kaustav, Gilmore, Hannah, Thorat, Mangesh A., Badve, Sunil, Madabhushi, Anant
Argitaratua izan da Breast Cancer Res (2019)

Clinicopathological, immunohistochemical and molecular correlation of neural crest transcription factor SOX10 expression in triple-negative breast carcinoma

nork Harbhajanka, Aparna, Chahar, Satyapal, Miskimen, Kristy, Silverman, Paula, Harris, Lyndsay, Williams, Nicole, Varadan, Vinay, Gilmore, Hannah
Argitaratua izan da Hum Pathol (2018)

Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI

nork Braman, Nathaniel M., Etesami, Maryam, Prasanna, Prateek, Dubchuk, Christina, Gilmore, Hannah, Tiwari, Pallavi, Pletcha, Donna, Madabhushi, Anant
Argitaratua izan da Breast Cancer Res (2017)

Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI

nork Braman, Nathaniel M., Etesami, Maryam, Prasanna, Prateek, Dubchuk, Christina, Gilmore, Hannah, Tiwari, Pallavi, Plecha, Donna, Madabhushi, Anant
Argitaratua izan da Breast Cancer Res (2017)

Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers

nork Lu, Cheng, Romo-Bucheli, David, Wang, Xiangxue, Janowczyk, Andrew, Ganesan, Shridar, Gilmore, Hannah, Rimm, David, Madabhushi, Anant
Argitaratua izan da Lab Invest (2018)

Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer

nork Whitney, Jon, Corredor, German, Janowczyk, Andrew, Ganesan, Shridar, Doyle, Scott, Tomaszewski, John, Feldman, Michael, Gilmore, Hannah, Madabhushi, Anant
Argitaratua izan da BMC Cancer (2018)

Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features

nork Wang, Haibo, Cruz-Roa, Angel, Basavanhally, Ajay, Gilmore, Hannah, Shih, Natalie, Feldman, Mike, Tomaszewski, John, Gonzalez, Fabio, Madabhushi, Anant
Argitaratua izan da J Med Imaging (Bellingham) (2014)

A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores

nork Wan, Tao, Bloch, B. Nicolas, Plecha, Donna, Thompson, CheryI L., Gilmore, Hannah, Jaffe, Carl, Harris, Lyndsay, Madabhushi, Anant
Argitaratua izan da Sci Rep (2016)

The lncRNA BORG Drives Breast Cancer Metastasis and Disease Recurrence

nork Gooding, Alex J., Zhang, Bing, Jahanbani, Fereshteh Kenari, Gilmore, Hannah L., Chang, Jenny C., Valadkhan, Saba, Schiemann, William P.
Argitaratua izan da Sci Rep (2017)

High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection

nork Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie, Tomaszewski, John, Madabhushi, Anant, González, Fabio
Argitaratua izan da PLoS One (2018)