| MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks X Xu, C Wang, J Guo, Y Gan, J Wang, H Bai, L Zhang, W Li, Z Yi Medical Image Analysis 65, 101772, 2020 | 85 | 2020 |
| DeepLN: a framework for automatic lung nodule detection using multi-resolution CT screening images X Xu, C Wang, J Guo, L Yang, H Bai, W Li, Z Yi Knowledge-Based Systems 189, 105128, 2020 | 50 | 2020 |
| Medimlp: using grad-cam to extract crucial variables for lung cancer postoperative complication prediction T He, J Guo, N Chen, X Xu, Z Wang, K Fu, L Liu, Z Yi IEEE journal of biomedical and health informatics 24 (6), 1762-1771, 2019 | 37 | 2019 |
| Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images. T He, J Guo, J Wang, X Xu, Z Yi SegTHOR@ ISBI, 10-13, 2019 | 32 | 2019 |
| The application of artificial intelligence and radiomics in lung cancer Y Zhou, X Xu, L Song, C Wang, J Guo, Z Yi, W Li Precision Clinical Medicine 3 (3), 214-227, 2020 | 29 | 2020 |
| Deep learning to predict EGFR mutation and PD-L1 expression status in non-small-cell lung cancer on computed tomography images C Wang, X Xu, J Shao, K Zhou, K Zhao, Y He, J Li, J Guo, Z Yi, W Li Journal of oncology 2021, 2021 | 26 | 2021 |
| SurvNet: A novel deep neural network for lung cancer survival analysis with missing values J Wang, N Chen, J Guo, X Xu, L Liu, Z Yi Frontiers in Oncology 10, 588990, 2021 | 22 | 2021 |
| DeepLN: an artificial intelligence-based automated system for lung cancer screening J Guo, C Wang, X Xu, J Shao, L Yang, Y Gan, Z Yi, W Li Annals of Translational Medicine 8 (18), 2020 | 22 | 2020 |
| DeepLNAnno: a web-based lung nodules annotating system for CT images S Chen, J Guo, C Wang, X Xu, Z Yi, W Li Journal of medical systems 43, 1-9, 2019 | 21 | 2019 |
| Deepcxray: Automatically diagnosing diseases on chest x-rays using deep neural networks X Xu, Q Guo, J Guo, Z Yi IEEE Access 6, 66972-66983, 2018 | 18 | 2018 |
| Deep learning empowers lung cancer screening based on mobile low-dose computed tomography in resource-constrained sites J Shao, G Wang, L Yi, C Wang, T Lan, X Xu, J Guo, T Deng, D Liu, B Chen, ... Frontiers in Bioscience-Landmark 27 (7), 212, 2022 | 16 | 2022 |
| Deepln: A multi-task AI tool to predict the imaging characteristics, malignancy and pathological subtypes in CT-detected pulmonary nodules C Wang, J Shao, X Xu, L Yi, G Wang, C Bai, J Guo, Y He, L Zhang, Z Yi, ... Frontiers in Oncology 12, 683792, 2022 | 11 | 2022 |
| Automatic airway tree segmentation based on multi-scale context information K Zhou, N Chen, X Xu, Z Wang, J Guo, L Liu, Z Yi International journal of computer assisted radiology and surgery 16, 219-230, 2021 | 10 | 2021 |
| Multi-label softmax networks for pulmonary nodule classification using unbalanced and dependent categories L Yi, L Zhang, X Xu, J Guo IEEE Transactions on Medical Imaging 42 (1), 317-328, 2022 | 8 | 2022 |
| RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning J Liu, C Wang, J Guo, J Shao, X Xu, X Liu, H Li, W Li, Z Yi International Journal of Computer Assisted Radiology and Surgery 16, 895-904, 2021 | 7 | 2021 |
| 利用深度学习技术辅助肺结节的人工智能检测 王成弟， 郭际香， 杨阳， 徐修远， 胡亦清， 杨澜， 章毅， 李为民 中国呼吸与危重症监护杂志 3, 288-294, 2019 | 6 | 2019 |
| A Novel Deep Neural Network for Lung Cancer Survival Analysis with Missing Values. Front J Wang, N Chen, J Guo, X Xu, L Liu, ZSN Yi Oncol 10 (588990), 10.3389, 2021 | 5 | 2021 |
| LTS-NET: Lung Tissue Segmentation from CT Images using Fully Convolutional Neural Network L Zhou, X Xu, K Zhou, J Guo 2021 11th International Conference on Information Science and Technology …, 2021 | 4 | 2021 |
| A scale-aware UNet++ model combined with attentional context supervision and adaptive Tversky loss for accurate airway segmentation Z Ke, X Xu, K Zhou, J Guo Applied Intelligence 53 (15), 18138-18154, 2023 | 3 | 2023 |
| Automatic Diagnose of Drug-Resistance Tuberculosis from CT Images Based on Deep Neural Networks Q Du, S Liang, J Guo, Z Yi, W Li, C Wang, X Xu CAAI International Conference on Artificial Intelligence, 256-267, 2022 | 2 | 2022 |
