| Nanoscale imaging of clinical specimens using pathology-optimized expansion microscopy Y Zhao, O Bucur, H Irshad, F Chen, A Weins, AL Stancu, EY Oh, ... Nature biotechnology 35 (8), 757-764, 2017 | 185 | 2017 |
| Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes JA Diao, JK Wang, WF Chui, V Mountain, SC Gullapally, R Srinivasan, ... Nature communications 12 (1), 1613, 2021 | 96 | 2021 |
| The SIRT2 deacetylase stabilizes slug to control malignancy of basal-like breast cancer W Zhou, TK Ni, A Wronski, B Glass, A Skibinski, A Beck, C Kuperwasser Cell reports 17 (5), 1302-1317, 2016 | 86 | 2016 |
| A machine learning approach enables quantitative measurement of liver histology and disease monitoring in NASH A TaylorWeiner, H Pokkalla, L Han, C Jia, R Huss, C Chung, H Elliott, ... Hepatology 74 (1), 133-147, 2021 | 80 | 2021 |
| Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images BE Bejnordi, J Lin, B Glass, M Mullooly, GL Gierach, ME Sherman, ... 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 74 | 2017 |
| Extensive rewiring of epithelial-stromal co-expression networks in breast cancer EY Oh, SM Christensen, S Ghanta, JC Jeong, O Bucur, B Glass, ... Genome biology 16, 1-22, 2015 | 52 | 2015 |
| Androgen receptor expression and breast cancer survival: results from the nurses’ health studies KH Kensler, EM Poole, YJ Heng, LC Collins, B Glass, AH Beck, A Hazra, ... JNCI: Journal of the National Cancer Institute 111 (7), 700-708, 2019 | 42 | 2019 |
| LINC00520 is induced by Src, STAT3, and PI3K and plays a functional role in breast cancer WS Henry, DG Hendrickson, F Beca, B Glass, M Lindahl-Allen, L He, Z Ji, ... Oncotarget 7 (50), 81981, 2016 | 40 | 2016 |
| EZH2 protein expression in normal breast epithelium and risk of breast cancer: results from the Nurses’ Health Studies F Beca, K Kensler, B Glass, SJ Schnitt, RM Tamimi, AH Beck Breast Cancer Research 19 (1), 1-9, 2017 | 33 | 2017 |
| Continuous measurement of breast tumour hormone receptor expression: a comparison of two computational pathology platforms TP Ahern, AH Beck, BA Rosner, B Glass, G Frieling, LC Collins, ... Journal of clinical pathology 70 (5), 428-434, 2017 | 14 | 2017 |
| Dense, high-resolution mapping of cells and tissues from pathology images for the interpretable prediction of molecular phenotypes in cancer JA Diao, WF Chui, JK Wang, RN Mitchell, SK Rao, MB Resnick, A Lahiri, ... bioRxiv, 2020.08. 02.233197, 2020 | 9 | 2020 |
| Machine learning models accurately interpret liver histology in patients with nonalcoholic steatohepatitis (NASH) H Pokkalla, K Pethia, B Glass, JK Kerner, Y Gindin, L Han, R Huss, ... Hepatology 70, 121A-122A, 2019 | 9 | 2019 |
| Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab±ipilimumab V Baxi, G Lee, C Duan, D Pandya, DN Cohen, R Edwards, H Chang, J Li, ... Modern Pathology 35 (11), 1529-1539, 2022 | 7 | 2022 |
| Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images B Ehteshami Bejnordi, J Linz, B Glass, M Mullooly, GL Gierach, ... arXiv e-prints, arXiv: 1702.05803, 2017 | 7 | 2017 |
| Artificial intelligence-powered retrospective analysis of PD-L1 expression in nivolumab trials of advanced non-small cell lung cancer V Baxi, A Beck, D Pandya, G Lee, C Hedvat, A Khosla, D Wang, H Elliott, ... Journal for Immunotherapy of Cancer 7, 2019 | 4 | 2019 |
| CD8+ T cells in tumor parenchyma and stroma by image analysis (IA) and gene expression profiling (GEP): Potential biomarkers for immuno-oncology (IO) therapy. PM Szabo, G Lee, S Ely, V Baxi, H Pokkalla, H Elliott, D Wang, B Glass, ... Journal of Clinical Oncology 37 (15_suppl), 2594-2594, 2019 | 4 | 2019 |
| 821 machine learning models can quantify cd8 positivity in lymphocytes in melanoma clinical trial samples B Glass, SA Stanford-Moore, D Meghwal, N Agrawal, M Lin, C Hedvat, ... Journal for ImmunoTherapy of Cancer 9 (Suppl 2), A859-A859, 2021 | 2 | 2021 |
| Machine learning models to quantify HER2 for real-time tissue image analysis in prospective clinical trials. B Glass, ME Vandenberghe, ST Chavali, SA Javed, M Rebelatto, ... Journal of Clinical Oncology 39 (15_suppl), 3061-3061, 2021 | 2 | 2021 |
| Validation of a machine learningbased approach (Delta Liver Fibrosis Score) for the assessment of histologic response in patients with advanced fibrosis due to NASH AH TaylorWeiner, H Pokkalla, L Han, C Jia, R Huss, C Chung, H Elliott, ... Hepatology 72, 2020 | 2 | 2020 |
| Association of digital and manual quantification of tumor PD-L1 expression with outcomes in nivolumab-treated patients C Duan, M Montalto, G Lee, D Pandya, D Cohen, H Chang, H Tang, ... Cancer Research 80 (16_Supplement), 2017-2017, 2020 | 2 | 2020 |
