| Automated lay language summarization of biomedical scientific reviews Y Guo, W Qiu, Y Wang, T Cohen Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 160-168, 2021 | 76 | 2021 |
| Interpretable machine learning prediction of all-cause mortality W Qiu, H Chen, AB Dincer, S Lundberg, M Kaeberlein, SI Lee Communications medicine 2 (1), 125, 2022 | 64 | 2022 |
| Deep profiling of gene expression across 18 human cancers W Qiu, AB Dincer, JD Janizek, S Celik, MJ Pittet, K Naxerova, SI Lee Nature biomedical engineering, 1-23, 2024 | 53* | 2024 |
| Retrieval augmentation of large language models for lay language generation Y Guo, W Qiu, G Leroy, S Wang, T Cohen Journal of Biomedical Informatics 149, 104580, 2024 | 46* | 2024 |
| Predicting Alzheimer’s disease by hierarchical graph convolution from positron emission tomography imaging J Guo, W Qiu, X Li, X Zhao, N Guo, Q Li 2019 IEEE international conference on big data (big data), 5359-5363, 2019 | 39 | 2019 |
| Learning to maximize mutual information for dynamic feature selection IC Covert, W Qiu, M Lu, NY Kim, NJ White, SI Lee International Conference on Machine Learning, 6424-6447, 2023 | 37 | 2023 |
| ExplaiNAble BioLogical Age (ENABL Age): an artificial intelligence framework for interpretable biological age W Qiu, H Chen, M Kaeberlein, SI Lee The Lancet Healthy Longevity 4 (12), e711-e723, 2023 | 34* | 2023 |
| Multi-label detection and classification of red blood cells in microscopic images W Qiu, J Guo, X Li, M Xu, M Zhang, N Guo, Q Li 2020 IEEE International Conference on Big Data (Big Data), 4257-4263, 2020 | 20 | 2020 |
| A community effort to optimize sequence-based deep learning models of gene regulation AM Rafi, D Nogina, D Penzar, D Lee, D Lee, N Kim, S Kim, D Kim, Y Shin, ... Nature biotechnology, 1-11, 2024 | 11* | 2024 |
| IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks W Qiu, Y Huang, Q Li 2020 IEEE International Conference on Big Data (Big Data), 2021 | 10 | 2021 |
| Explanation-guided dynamic feature selection for medical risk prediction N Beebe-Wang, W Qiu, SI Lee ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | 2 | 2023 |
| Recurrent neural network enhance phenotyping in heart failure with preserved ejection fraction using electronic health record H Ren, W Qiu, A Zhong, S Yu, X Li, N Guo, Q Li Circulation 140 (Suppl_1), A12835-A12835, 2019 | 1 | 2019 |
| Personalized Treatment for Heart Failure With Preserved Ejection Fraction Using Deep Reinforcement Learning H Ren, S Yu, X Li, W Qiu, A Zhong, N Guo, Q Li Circulation 140 (Suppl_1), A15036-A15036, 2019 | 1 | 2019 |
| Isolating structured salient variations in single-cell transcriptomic data with StrastiveVI W Qiu, E Weinberger, SI Lee bioRxiv, 2023.10. 06.561320, 2023 | | 2023 |
Su-In LeeComputer Science & Engineering, University of WashingtonПотвърден имейл адрес: cs.washington.edu