Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range X Wan, W Wang, J Liu, T Tong BMC medical research methodology 14, 1-13, 2014 | 7556 | 2014 |
Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range D Luo, X Wan, J Liu, T Tong Statistical methods in medical research 27 (6), 1785-1805, 2018 | 2236 | 2018 |
Altered brain microRNA biogenesis contributes to phenotypic deficits in a 22q11-deletion mouse model KL Stark, B Xu, A Bagchi, WS Lai, H Liu, R Hsu, X Wan, P Pavlidis, ... Nature genetics 40 (6), 751-760, 2008 | 681 | 2008 |
BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies X Wan, C Yang, Q Yang, H Xue, X Fan, NLS Tang, W Yu The American Journal of Human Genetics 87 (3), 325-340, 2010 | 601 | 2010 |
Generating radiology reports via memory-driven transformer Z Chen, Y Song, TH Chang, X Wan arXiv preprint arXiv:2010.16056, 2020 | 444 | 2020 |
Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation Y Ji, H Bai, C Ge, J Yang, Y Zhu, R Zhang, Z Li, L Zhanng, W Ma, X Wan, ... Advances in neural information processing systems 35, 36722-36732, 2022 | 242 | 2022 |
Cross-modal memory networks for radiology report generation Z Chen, Y Shen, Y Song, X Wan arXiv preprint arXiv:2204.13258, 2022 | 234 | 2022 |
SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies C Yang, Z He, X Wan, Q Yang, H Xue, W Yu Bioinformatics 25 (4), 504-511, 2009 | 204 | 2009 |
Predictive rule inference for epistatic interaction detection in genome-wide association studies X Wan, C Yang, Q Yang, H Xue, NLS Tang, W Yu Bioinformatics 26 (1), 30-37, 2010 | 201 | 2010 |
GBOOST: a GPU-based tool for detecting gene–gene interactions in genome–wide case control studies LS Yung, C Yang, X Wan, W Yu Bioinformatics 27 (9), 1309-1310, 2011 | 193 | 2011 |
Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data A Zoubarev, KM Hamer, KD Keshav, EL McCarthy, JRC Santos, ... Bioinformatics 28 (17), 2272-2273, 2012 | 134 | 2012 |
Huatuogpt, towards taming language model to be a doctor H Zhang, J Chen, F Jiang, F Yu, Z Chen, J Li, G Chen, X Wu, Z Zhang, ... arXiv preprint arXiv:2305.15075, 2023 | 133 | 2023 |
Dependency-driven relation extraction with attentive graph convolutional networks Y Tian, G Chen, Y Song, X Wan Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 123 | 2021 |
MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study X Wan, C Yang, Q Yang, H Xue, NLS Tang, W Yu BMC bioinformatics 10, 1-15, 2009 | 94 | 2009 |
Multi-modal masked autoencoders for medical vision-and-language pre-training Z Chen, Y Du, J Hu, Y Liu, G Li, X Wan, TH Chang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 92 | 2022 |
A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits M Cai, J Xiao, S Zhang, X Wan, H Zhao, G Chen, C Yang The American Journal of Human Genetics 108 (4), 632-655, 2021 | 89 | 2021 |
Named entity recognition for social media texts with semantic augmentation Y Nie, Y Tian, X Wan, Y Song, B Dai arXiv preprint arXiv:2010.15458, 2020 | 82 | 2020 |
Is information extraction solved by chatgpt? an analysis of performance, evaluation criteria, robustness and errors R Han, T Peng, C Yang, B Wang, L Liu, X Wan arXiv preprint arXiv:2305.14450, 2023 | 77 | 2023 |
Improving named entity recognition with attentive ensemble of syntactic information Y Nie, Y Tian, Y Song, X Ao, X Wan arXiv preprint arXiv:2010.15466, 2020 | 75 | 2020 |
Lesion-aware dynamic kernel for polyp segmentation R Zhang, P Lai, X Wan, DJ Fan, F Gao, XJ Wu, G Li International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 74 | 2022 |