BioWordVec, improving biomedical word embeddings with subword information and MeSH Y Zhang, Q Chen, Z Yang, H Lin, Z Lu Scientific data 6 (1), 52, 2019 | 441 | 2019 |
Keep up with the latest coronavirus research Q Chen, A Allot, Z Lu Nature 579 (7798), 193-193, 2020 | 317 | 2020 |
DeepSeeNet: a deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs Y Peng, S Dharssi, Q Chen, TD Keenan, E Agrón, WT Wong, EY Chew, ... Ophthalmology 126 (4), 565-575, 2019 | 294 | 2019 |
LitCovid: an open database of COVID-19 literature Q Chen, A Allot, Z Lu Nucleic acids research 49 (D1), D1534-D1540, 2021 | 292 | 2021 |
BioSentVec: creating sentence embeddings for biomedical texts Q Chen, Y Peng, Z Lu 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-5, 2019 | 203 | 2019 |
ML-Net: multi-label classification of biomedical texts with deep neural networks J Du, Q Chen, Y Peng, Y Xiang, C Tao, Z Lu Journal of the American Medical Informatics Association 26 (11), 1279-1285, 2019 | 156 | 2019 |
An empirical study of multi-task learning on BERT for biomedical text mining Y Peng, Q Chen, Z Lu arXiv preprint arXiv:2005.02799, 2020 | 101 | 2020 |
Opportunities and challenges for ChatGPT and large language models in biomedicine and health S Tian, Q Jin, L Yeganova, PT Lai, Q Zhu, X Chen, Y Yang, Q Chen, ... Briefings in Bioinformatics 25 (1), bbad493, 2024 | 71 | 2024 |
Artificial intelligence in action: addressing the COVID-19 pandemic with natural language processing Q Chen, R Leaman, A Allot, L Luo, CH Wei, S Yan, Z Lu Annual review of biomedical data science 4 (1), 313-339, 2021 | 71 | 2021 |
Genegpt: Augmenting large language models with domain tools for improved access to biomedical information Q Jin, Y Yang, Q Chen, Z Lu Bioinformatics 40 (2), btae075, 2024 | 62 | 2024 |
A deep learning approach for automated detection of geographic atrophy from color fundus photographs TD Keenan, S Dharssi, Y Peng, Q Chen, E Agrón, WT Wong, Z Lu, ... Ophthalmology 126 (11), 1533-1540, 2019 | 61 | 2019 |
Biocuration: distilling data into knowledge International Society for Biocuration PLoS Biology 16 (4), e2002846, 2018 | 60 | 2018 |
Duplicates, redundancies and inconsistencies in the primary nucleotide databases: a descriptive study Q Chen, J Zobel, K Verspoor Database 2017, baw163, 2017 | 53 | 2017 |
LitSense: making sense of biomedical literature at sentence level A Allot, Q Chen, S Kim, R Vera Alvarez, DC Comeau, WJ Wilbur, Z Lu Nucleic acids research 47 (W1), W594-W599, 2019 | 51 | 2019 |
BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale Q Chen, K Lee, S Yan, S Kim, CH Wei, Z Lu PLoS computational biology 16 (4), e1007617, 2020 | 50 | 2020 |
A multi-task deep learning model for the classification of Age-related Macular Degeneration Q Chen, Y Peng, T Keenan, S Dharssi, E Agro, W Wai, E Chew, Z Lu AMIA Summits on Translational Science Proceedings 2019, 505, 2019 | 50 | 2019 |
Predicting myocardial infarction through retinal scans and minimal personal information A Diaz-Pinto, N Ravikumar, R Attar, A Suinesiaputra, Y Zhao, E Levelt, ... Nature Machine Intelligence 4 (1), 55-61, 2022 | 49 | 2022 |
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine R Islamaj Doğan, S Kim, A Chatr-Aryamontri, CH Wei, DC Comeau, ... Database 2019, bay147, 2019 | 49 | 2019 |
Predicting risk of late age-related macular degeneration using deep learning Y Peng, TD Keenan, Q Chen, E Agrón, A Allot, WT Wong, EY Chew, Z Lu NPJ digital medicine 3 (1), 111, 2020 | 48 | 2020 |
Integrating bdi agents into a matsim simulation L Padgham, K Nagel, D Singh, Q Chen ECAI 2014, 681-686, 2014 | 44 | 2014 |