| Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma A Zaritsky, AR Jamieson, ES Welf, A Nevarez, J Cillay, U Eskiocak, ... Cell systems 12 (7), 733-747. e6, 2021 | 58 | 2021 |
| Interpretable deep learning of label-free live cell images uncovers functional hallmarks of highly-metastatic melanoma A Zaritsky, AR Jamieson, ES Welf, A Nevarez, J Cillay, U Eskiocak, ... BioRxiv, 2020.05. 15.096628, 2020 | 15 | 2020 |
| Quantitative cell imaging approaches to metastatic state profiling AJ Nevarez, N Hao Frontiers in Cell and Developmental Biology 10, 1048630, 2022 | 4 | 2022 |
| Using deep learning to decipher the impact of telomerase promoter mutations on the dynamic metastatic morpholome AJ Nevarez, A Mudla, SA Diaz, N Hao PLOS Computational Biology 20 (7), e1012271, 2024 | | 2024 |
| Using Deep Learning to Decipher the Impact of Telomerase Promoter Mutations on the Morpholome AJ Nevarez, A Mudla, SA Diaz, N Hao bioRxiv, 2023.11. 20.567914, 2023 | | 2023 |
| Surveying the metastatic single cell state AJ Nevarez University of California, San Diego, 2022 | | 2022 |
| Live cell histology for classification of melanoma cell population based on single cell actions A Zaritsky, AR Jamieson, JD Cillay, A Nevarez, ES Welf, G Danuser MOLECULAR BIOLOGY OF THE CELL 29 (26), 2018 | | 2018 |
