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 | 97 | 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 | 55 | 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 | 47 | 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 | 42 | 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 (1), 5499385, 2021 | 37 | 2021 |
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 | 35 | 2019 |
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 | 25 | 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 | 25 | 2020 |
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 | 23 | 2022 |
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 | 23 | 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 | 20 | 2018 |
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 | 13 | 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 | 11 | 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 | 7 | 2023 |
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 |
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 | 6 | 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 | 5 | 2019 |
Deep learning for precise diagnosis and subtype triage of drug‐resistant tuberculosis on chest computed tomography S Liang, X Xu, Z Yang, Q Du, L Zhou, J Shao, J Guo, B Ying, W Li, ... MedComm 5 (3), e487, 2024 | 4 | 2024 |
nmPLS-Net: Segmenting Pulmonary Lobes Using nmODE P Dong, H Niu, Z Yi, X and Xu Mathematics 11 (22), 4675, 2023 | 4 | 2023 |