| Dual-sampling attention network for diagnosis of COVID-19 from community acquired pneumonia X Ouyang, J Huo, L Xia, F Shan, J Liu, Z Mo, F Yan, Z Ding, Q Yang, ... IEEE transactions on medical imaging 39 (8), 2595-2605, 2020 | 406 | 2020 |
| Sentiment analysis using convolutional neural network X Ouyang, P Zhou, CH Li, L Liu 2015 IEEE international conference on computer and information technology …, 2015 | 305 | 2015 |
| Chatcad: Interactive computer-aided diagnosis on medical image using large language models S Wang, Z Zhao, X Ouyang, Q Wang, D Shen arXiv preprint arXiv:2302.07257, 2023 | 216 | 2023 |
| Learning hierarchical attention for weakly-supervised chest X-ray abnormality localization and diagnosis X Ouyang, S Karanam, Z Wu, T Chen, J Huo, XS Zhou, Q Wang, ... IEEE transactions on medical imaging 40 (10), 2698-2710, 2020 | 121 | 2020 |
| Audio-visual emotion recognition using deep transfer learning and multiple temporal models X Ouyang, S Kawaai, EGH Goh, S Shen, W Ding, H Ming, DY Huang Proceedings of the 19th ACM international conference on multimodal …, 2017 | 104 | 2017 |
| ZipNet-GAN: Inferring fine-grained mobile traffic patterns via a generative adversarial neural network C Zhang, X Ouyang, P Patras Proceedings of the 13th International Conference on emerging Networking …, 2017 | 95 | 2017 |
| Pedestrian-synthesis-gan: Generating pedestrian data in real scene and beyond X Ouyang, Y Cheng, Y Jiang, CL Li, P Zhou arXiv preprint arXiv:1804.02047, 2018 | 90 | 2018 |
| Follow my eye: Using gaze to supervise computer-aided diagnosis S Wang, X Ouyang, T Liu, Q Wang, D Shen IEEE Transactions on Medical Imaging 41 (7), 1688-1698, 2022 | 85 | 2022 |
| SAANet: Siamese action-units attention network for improving dynamic facial expression recognition D Liu, X Ouyang, S Xu, P Zhou, K He, S Wen Neurocomputing 413, 145-157, 2020 | 85 | 2020 |
| A 3D-CNN and LSTM based multi-task learning architecture for action recognition X Ouyang, S Xu, C Zhang, P Zhou, Y Yang, G Liu, X Li IEEE Access 7, 40757-40770, 2019 | 78 | 2019 |
| Domain generalization for mammography detection via multi-style and multi-view contrastive learning Z Li, Z Cui, S Wang, Y Qi, X Ouyang, Q Chen, Y Yang, Z Xue, D Shen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 53 | 2021 |
| Dual-mode vehicle motion pattern learning for high performance road traffic anomaly detection Y Xu, X Ouyang, Y Cheng, S Yu, L Xiong, CC Ng, S Pranata, S Shen, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 53 | 2018 |
| Deepspace: An online deep learning framework for mobile big data to understand human mobility patterns X Ouyang, C Zhang, P Zhou, H Jiang, S Gong arXiv preprint arXiv:1610.07009, 2016 | 53 | 2016 |
| Weakly supervised segmentation framework with uncertainty: A study on pneumothorax segmentation in chest X-ray X Ouyang, Z Xue, Y Zhan, XS Zhou, Q Wang, Y Zhou, Q Wang, JZ Cheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 43 | 2019 |
| GAN-guided deformable attention network for identifying thyroid nodules in ultrasound images J Lu, X Ouyang, X Shen, T Liu, Z Cui, Q Wang, D Shen IEEE Journal of Biomedical and Health Informatics 26 (4), 1582-1590, 2022 | 29 | 2022 |
| Spatial pyramid pooling mechanism in 3D convolutional network for sentence-level classification X Ouyang, K Gu, P Zhou IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (11 …, 2018 | 27 | 2018 |
| Image synthesis with disentangled attributes for chest x-ray nodule augmentation and detection Z Shen, X Ouyang, B Xiao, JZ Cheng, D Shen, Q Wang Medical image analysis 84, 102708, 2023 | 26 | 2023 |
| Hierarchical pathology screening for cervical abnormality M Zhou, L Zhang, X Du, X Ouyang, X Zhang, Q Shen, D Luo, X Fan, ... Computerized Medical Imaging and Graphics 89, 101892, 2021 | 20 | 2021 |
| Automatic grading assessments for knee MRI cartilage defects via self-ensembling semi-supervised learning with dual-consistency J Huo, X Ouyang, L Si, K Xuan, S Wang, W Yao, Y Liu, J Xu, D Qian, ... Medical Image Analysis 80, 102508, 2022 | 16 | 2022 |
| Self-adversarial learning for detection of clustered microcalcifications in mammograms X Ouyang, J Che, Q Chen, Z Li, Y Zhan, Z Xue, Q Wang, JZ Cheng, ... International conference on medical image computing and computer-assisted …, 2021 | 13 | 2021 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligenceshanghaitech.edu.cn üzerinde doğrulanmış e-posta adresine sahip