| 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 | 150 | 2021 |
| Victoria Mountain, Sai Chowdary Gullapally, Ramprakash Srinivasan, Richard N Mitchell JA Diao, JK Wang, WF Chui Benjamin Glass, Sara Hoffman, Sudha K Rao, et al. Human-interpretable image …, 2021 | 18 | 2021 |
| 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 |
| A modular approach to creating large engineered cartilage surfaces AC Ford, WF Chui, AY Zeng, A Nandy, E Liebenberg, C Carraro, ... Journal of biomechanics 67, 177-183, 2018 | 6 | 2018 |
| Abstract PD6-04: Deep-learning based prediction of homologous recombination deficiency (hrd) status from histological features in breast cancer; a research study A Taylor-Weiner, A Pedawi, WF Chui, J Diao, J Wang, V Mountain, ... Cancer Research 81 (4_Supplement), PD6-04-PD6-04, 2021 | 2 | 2021 |
| Deep-learning based prediction of homologous recombination deficiency (hrd) status from histological features in breast cancer; a research study A Taylor-Weiner, A Pedawi, WF Chui, J Diao, J Wang, V Mountain, ... CANCER RESEARCH 81 (4), 2021 | | 2021 |
