| Covid-19 screening on chest x-ray images using deep learning based anomaly detection J Zhang, Y Xie, Y Li, C Shen, Y Xia arXiv preprint arXiv:2003.12338 27 (10.48550), 2020 | 572 | 2020 |
| Identifying viruses from metagenomic data using deep learning J Ren, K Song, C Deng, NA Ahlgren, JA Fuhrman, Y Li, X Xie, R Poplin, ... Quantitative Biology 8 (1), 64-77, 2020 | 490 | 2020 |
| Gene expression inference with deep learning Y Chen, Y Li, R Narayan, A Subramanian, X Xie Bioinformatics 32 (12), 1832-1839, 2016 | 483 | 2016 |
| Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection J Zhang, Y Xie, G Pang, Z Liao, J Verjans, W Li, Z Sun, J He, Y Li, C Shen, ... IEEE transactions on medical imaging 40 (3), 879-890, 2020 | 443 | 2020 |
| Exploring neural transducers for end-to-end speech recognition E Battenberg, J Chen, R Child, A Coates, YGY Li, H Liu, S Satheesh, ... 2017 IEEE automatic speech recognition and understanding workshop (ASRU …, 2017 | 267 | 2017 |
| Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms ZZ Qin, S Ahmed, MS Sarker, K Paul, ASS Adel, T Naheyan, R Barrett, ... The Lancet Digital Health 3 (9), e543-e554, 2021 | 199 | 2021 |
| Cancer metastasis detection with neural conditional random field Y Li, W Ping arXiv preprint arXiv:1806.07064, 2018 | 137 | 2018 |
| Genome-wide view of TGFβ/Foxh1 regulation of the early mesendoderm program WT Chiu, R Charney Le, IL Blitz, MB Fish, Y Li, J Biesinger, X Xie, ... Development 141 (23), 4537-4547, 2014 | 82 | 2014 |
| Weakly supervised lesion localization with probabilistic-cam pooling W Ye, J Yao, H Xue, Y Li arXiv preprint arXiv:2005.14480, 2020 | 75 | 2020 |
| A mixture model for expression deconvolution from RNA-seq in heterogeneous tissues Y Li, X Xie BMC bioinformatics 14, 1-11, 2013 | 65 | 2013 |
| Deconvolving tumor purity and ploidy by integrating copy number alterations and loss of heterozygosity Y Li, X Xie Bioinformatics 30 (15), 2121-2129, 2014 | 50 | 2014 |
| Large margin neural language model J Huang, Y Li, W Ping, L Huang arXiv preprint arXiv:1808.08987, 2018 | 35 | 2018 |
| Detecting lesion bounding ellipses with gaussian proposal networks Y Li Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 24 | 2019 |
| Poly (A) code analyses reveal key determinants for tissue-specific mRNA alternative polyadenylation L Weng, Y Li, X Xie, Y Shi RNA 22 (6), 813-821, 2016 | 24 | 2016 |
| MixClone: a mixture model for inferring tumor subclonal populations Y Li, X Xie BMC genomics 16, 1-9, 2015 | 15 | 2015 |
| Can artificial intelligence (AI) be used to accurately detect tuberculosis (TB) from chest x-ray? A multiplatform evaluation of five AI products used for TB screening in a high … ZZ Qin, S Ahmed, MS Sarker, K Paul, ASS Adel, T Naheyan, S Banu, ... ArXiv, 2020 | 10 | 2020 |
| Understanding sequence conservation with deep learning Y Li, D Quang, X Xie Proceedings of the 8th ACM international conference on bioinformatics …, 2017 | 8 | 2017 |
Xiaohui XieProfessor of Computer Science, University of California, Irvineuci.edu üzerinde doğrulanmış e-posta adresine sahip