| Predicting COVID-19 malignant progression with AI techniques X Bai, C Fang, Y Zhou, S Bai, Z Liu, Q Chen, Y Xu, T Xia, S Gong, X Xie, ... MedRxiv, 2020.03. 20.20037325, 2020 | 113 | 2020 |
| Face detection using improved faster rcnn C Zhang, X Xu, D Tu arXiv preprint arXiv:1802.02142, 2018 | 79 | 2018 |
| Deep learning for predicting COVID-19 malignant progression C Fang, S Bai, Q Chen, Y Zhou, L Xia, L Qin, S Gong, X Xie, C Zhou, D Tu, ... Medical image analysis 72, 102096, 2021 | 48 | 2021 |
| Deep learning for detecting cerebral aneurysms with CT angiography J Yang, M Xie, C Hu, O Alwalid, Y Xu, J Liu, T Jin, C Li, D Tu, X Liu, ... Radiology 298 (1), 155-163, 2021 | 45 | 2021 |
| Learning directional feature maps for cardiac mri segmentation F Cheng, C Chen, Y Wang, H Shi, Y Cao, D Tu, C Zhang, Y Xu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 37 | 2020 |
| A collaborative online AI engine for CT-based COVID-19 diagnosis Y Xu, L Ma, F Yang, Y Chen, K Ma, J Yang, X Yang, Y Chen, C Shu, Z Fan, ... medRxiv, 2020 | 34 | 2020 |
| Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence X Bai, H Wang, L Ma, Y Xu, J Gan, Z Fan, F Yang, K Ma, J Yang, S Bai, ... Nature Machine Intelligence 3 (12), 1081-1089, 2021 | 20 | 2021 |
| DCCL: A benchmark for cervical cytology analysis C Zhang, D Liu, L Wang, Y Li, X Chen, R Luo, S Che, H Liang, Y Li, S Liu, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 20 | 2019 |
| MSAFusionNet: Multiple subspace attention based deep multi-modal fusion network S Zhang, C Zhang, L Wang, C Li, D Tu, R Luo, G Qi, J Luo Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 4 | 2019 |
| Object Detection Model Training Method and Apparatus, and Device C Zhang, X Jin, D Tu US Patent App. 17/036,903, 2021 | 3 | 2021 |
| Training Method, Apparatus, and Chip for Neural Network Model BAI Xiaolong, C Zhang, M Xia US Patent App. 16/425,012, 2019 | 3 | 2019 |
| Data processing system and method C Zhang, BAI Xiaolong, D Tu US Patent App. 16/432,617, 2019 | 2 | 2019 |
| Deep learning for spirometry quality assurance with spirometric indices and curves Y Wang, Y Li, W Chen, C Zhang, L Liang, R Huang, J Liang, D Tu, Y Gao, ... Respiratory Research 23 (1), 1-9, 2022 | 1 | 2022 |
| Image processing method, apparatus, and system LI Yaoxin, C Zhang, C Xiaoshi, D Tu US Patent App. 17/590,005, 2022 | 1 | 2022 |
| Clinical analysis of the “small plateau” sign on the flow-volume curve followed by deep learning automated recognition Y Wang, W Chen, Y Li, C Zhang, L Liang, R Huang, J Liang, Y Gao, ... BMC Pulmonary Medicine 21 (1), 1-16, 2021 | 1 | 2021 |
| Training method, apparatus, chip, and system for neural network model C Zhang, BAI Xiaolong, D Tu US Patent App. 16/424,760, 2019 | 1 | 2019 |
| Unsupervised Cross-modality Adaptation via Dual Structural-Oriented Guidance for 3D Medical Image Segmentation J Xian, X Li, D Tu, S Zhu, C Zhang, X Liu, X Li, X Yang IEEE Transactions on Medical Imaging, 2023 | | 2023 |
| Object detection model training method, apparatus, and device C Zhang, X Jin, D Tu US Patent 11,423,634, 2022 | | 2022 |
| Deep Learning for Automatic Upper Airway Obstruction Detection by Analysis of Flow-Volume Curve Y Wang, Y Li, W Chen, C Zhang, L Liang, R Huang, W Jian, J Liang, ... Respiration 101 (9), 841-850, 2022 | | 2022 |
| Predicting COVID-19 malignant progression with AI techniques (preprint) C Fang, S Bai, Q Chen, Y Zhou, L Xia, L Qin, S Gong, X Xie, C Zhou, D Tu, ... | | 2020 |
Yongchao XuProfessor, School of Computer Science, Wuhan UniversityVerified email at whu.edu.cn
