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- | ===== Publications ===== | + | __false__ |
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- | ==== 2018 ==== | + | |
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- | [[https://arxiv.org/abs/1805.05373 | DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection]]\\ | + | |
- | Zhu W, Vang YS, Huang Y, Xie X\\ | + | |
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- | Sequential Embedding Induced Nonparametric Text Clustering\\ | + | |
- | Duan T, Lou Q, Xie X\\ | + | |
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- | [[https://arxiv.org/abs/1802.00931 | Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification]]\\ | + | |
- | Vang S, Chen Z, Xie X\\ | + | |
- | 15th International Conference on Image Analysis and Recognition, 2018 | + | |
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- | [[https://arxiv.org/abs/1801.07853 | Structed Triplets Learning with Pos-tag Guided Attention for Visual Question Answering]]\\ | + | |
- | IEEE Winter Conf. on Applications of Computer Vision 2018 | + | |
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- | [[https://arxiv.org/abs/1801.09555 | DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification]]\\ | + | |
- | IEEE Winter Conf. on Applications of Computer Vision 2018 | + | |
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- | Adversarial Deep Structured Nets for Mass Segmentation from Mammograms\\ | + | |
- | W Zhu, X Xiang, T Tran, GD Hager, X Xie\\ | + | |
- | IEEE International Symposium on Biomedical Imaging | + | |
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- | Automated Pulmonary Nodule Detection Using 3D Deep Convolutional Neural Networks\\ | + | |
- | H Tang, D Kim, X Xie\\ | + | |
- | IEEE International Symposium on Biomedical Imaging | + | |
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- | Molecular Mechanisms for CFIm-Mediated Regulation of mRNA Alternative Polyadenylation.\\ | + | |
- | Zhu Y, Wang X, Forouzmand E, Jeong J, Qiao F, Sowd GA, Engelman AN, Xie X, Hertel KJ, Shi Y.\\ | + | |
- | Mol Cell. 2018 Jan 4;69(1):62-74.e4. | + | |
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- | ==== 2017 ==== | + | |
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- | [[https://arxiv.org/abs/1709.05538 | DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification]]\\ | + | |
- | W Zhu, C Liu, W Fan, X Xie\\ | + | |
- | arXiv preprint arXiv:1709.05538 | + | |
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- | [[https://www.biorxiv.org/content/early/2017/06/28/151274 | FactorNet: a deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data]]\\ | + | |
- | D Quang, X Xie\\ | + | |
- | bioRxiv, 151274 | + | |
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- | [[https://arxiv.org/abs/1612.05968|Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification]]\\ | + | |
- | Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie \\ | + | |
- | arXiv:1612.05968\\ | + | |
- | [[http://www.miccai2017.org/| MICCAI, 2017]] | + | |
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- | Understanding sequence conservation with deep learning\\ | + | |
- | Li Y, Quang D, and Xie X\\ | + | |
- | ACM BCB, 2017 | + | |
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- | [[http://biorxiv.org/content/early/2017/01/10/099358|HLA class I binding prediction via convolutional neural networks]]\\ | + | |
- | Vang YS and Xie X\\ | + | |
- | Bioinformatics, 2017 | + | |
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- | [[https://www.ncbi.nlm.nih.gov/pubmed/28325473|Foxh1 Occupies cis-Regulatory Modules Prior to Dynamic Transcription Factor Interactions Controlling the Mesendoderm Gene Program]]\\ | + | |
- | Charney RM, Forouzmand E, Cho JS, Cheung J, Paraiso KD, Yasuoka Y, Takahashi S, Taira M, Blitz IL, Xie X, Cho KW\\ | + | |
- | Dev Cell. 27;40(6):595-607.e4, 2017 | + | |
==== 2016 ==== | ==== 2016 ==== |