Spatial architecture and arrangement of tumor-infiltrating lymphocytes for predicting likelihood of recurrence in early-stage non–small cell lung cancer G Corredor, X Wang, Y Zhou, C Lu, P Fu, K Syrigos, DL Rimm, M Yang, ... Clinical cancer research 25 (5), 1526-1534, 2019 | 261 | 2019 |
Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images X Wang, A Janowczyk, Y Zhou, R Thawani, P Fu, K Schalper, V Velcheti, ... Scientific reports 7 (1), 13543, 2017 | 171 | 2017 |
An image analysis resource for cancer research: PIIP—Pathology image informatics platform for visualization, analysis, and management AL Martel, D Hosseinzadeh, C Senaras, Y Zhou, A Yazdanpanah, ... Cancer research 77 (21), e83-e86, 2017 | 61 | 2017 |
Quick Annotator: an open‐source digital pathology based rapid image annotation tool R Miao, R Toth, Y Zhou, A Madabhushi, A Janowczyk The Journal of Pathology: Clinical Research 7 (6), 542-547, 2021 | 41 | 2021 |
Computerized density estimation of tumor-infiltrating lymphocyte in h&e tmas predicts recurrence in early stage non-small cell lung cancer X Wang, G Corredor, E Romero, A Janowczyk, Y Zhou, MC Yang, ... LABORATORY INVESTIGATION 97, 401A-402A, 2017 | 1 | 2017 |
Computer extracted features of nuclear morphology from digital H&E images are predictive of recurrence in stage I and II non-small cell lung cancer X Wang, A Janowczyk, Y Zhou, S Rakshit, V Velcheti, A Madabhushi LABORATORY INVESTIGATION 96, 401A-402A, 2016 | 1 | 2016 |