Ben Glass
Ben Glass
Verificeret mail på pathai.com
Citeret af
Citeret af
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
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
A machine learning approach enables quantitative measurement of liver histology and disease monitoring in NASH
A Taylor‐Weiner, H Pokkalla, L Han, C Jia, R Huss, C Chung, H Elliott, ...
Hepatology 74 (1), 133-147, 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
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
Methodological issues in predicting pediatric epilepsy surgery candidates through natural language processing and machine learning
KB Cohen, B Glass, HM Greiner, K Holland-Bouley, S Standridge, R Arya, ...
Biomedical informatics insights 8, BII. S38308, 2016
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
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
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
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, 1-9, 2017
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
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
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
Methodological issues in predicting pediatric epilepsy surgery candidates through natural language processing and machine learning. Biomed Inform Insights. 2016; 8: 11–8
KB Cohen, B Glass, HM Greiner, K Holland-Bouley, S Standridge, R Arya, ...
Developing Expertise in 1H NMR Spectral Interpretation
MC Connor, BH Glass, SA Finkenstaedt-Quinn, GV Shultz
The Journal of Organic Chemistry 86 (2), 1385-1395, 2020
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
Development of the NMR Lexical Representational Competence (NMR-LRC) Instrument As a Formative Assessment of Lexical Ability in 1H NMR Spectroscopy
MC Connor, BH Glass, GV Shultz
Journal of Chemical Education 98 (9), 2786-2798, 2021
Machine Learning Models Identify Novel Histologic Features Predictive of Clinical Disease Progression in Patients with Advanced Fibrosis due to NASH
H Pokkalla, B Glass, L Han, R Huss, K Kersey, GM Subramanian, ...
춘· 추계 학술대회 (The Liver Week) 2020 (1), 248-249, 2020
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
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
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