| Attention-driven dynamic graph convolutional network for multi-label image recognition J Ye, J He, X Peng, W Wu, Y Qiao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 173 | 2020 |
| Multi-label ocular disease classification with a dense correlation deep neural network J He, C Li, J Ye, Y Qiao, L Gu Biomedical Signal Processing and Control 63, 102167, 2021 | 57 | 2021 |
| Sam-med2d J Cheng, J Ye, Z Deng, J Chen, T Li, H Wang, Y Su, Z Huang, J Chen, ... arXiv preprint arXiv:2308.16184, 2023 | 40 | 2023 |
| Dense correlation network for automated multi-label ocular disease detection with paired color fundus photographs C Li, J Ye, J He, S Wang, Y Qiao, L Gu 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 1-4, 2020 | 37 | 2020 |
| Revisiting nnu-net for iterative pseudo labeling and efficient sliding window inference Z Huang, H Wang, J Ye, J Niu, C Tu, Y Yang, S Du, Z Deng, L Gu, J He MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ …, 2022 | 34 | 2022 |
| The autopet challenge: towards fully automated lesion segmentation in oncologic pet/ct imaging S Gatidis, M Früh, M Fabritius, S Gu, K Nikolaou, C La Fougère, J Ye, J He, ... | 33 | 2023 |
| A robust mtmc tracking system for ai-city challenge 2021 J Ye, X Yang, S Kang, Y He, W Zhang, L Huang, M Jiang, W Zhang, Y Shi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 32 | 2021 |
| Coarse to fine: Domain adaptive crowd counting via adversarial scoring network Z Zou, X Qu, P Zhou, S Xu, X Ye, W Wu, J Ye Proceedings of the 29th ACM International Conference on Multimedia, 2185-2194, 2021 | 28 | 2021 |
| Stu-net: Scalable and transferable medical image segmentation models empowered by large-scale supervised pre-training Z Huang, H Wang, Z Deng, J Ye, Y Su, H Sun, J He, Y Gu, L Gu, S Zhang, ... arXiv preprint arXiv:2304.06716, 2023 | 24 | 2023 |
| Dsanet: Dynamic segment aggregation network for video-level representation learning W Wu, Y Zhao, Y Xu, X Tan, D He, Z Zou, J Ye, Y Li, M Yao, Z Dong, Y Shi Proceedings of the 29th ACM International Conference on Multimedia, 1903-1911, 2021 | 23 | 2021 |
| Visual-textual sentiment analysis in product reviews J Ye, X Peng, Y Qiao, H Xing, J Li, R Ji 2019 IEEE International Conference on Image Processing (ICIP), 869-873, 2019 | 19 | 2019 |
| Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification J He, C Li, J Ye, Y Qiao, L Gu Biomedical Signal Processing and Control 67, 102491, 2021 | 18 | 2021 |
| Classification of ocular diseases employing attention-based unilateral and bilateral feature weighting and fusion J He, C Li, J Ye, S Wang, Y Qiao, L Gu 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1258-1261, 2020 | 17 | 2020 |
| Sam-med3d H Wang, S Guo, J Ye, Z Deng, J Cheng, T Li, J Chen, Y Su, Z Huang, ... arXiv preprint arXiv:2310.15161, 2023 | 15 | 2023 |
| A novel hybrid convolutional neural network for accurate organ segmentation in 3d head and neck CT images Z Chen, C Li, J He, J Ye, D Song, S Wang, L Gu, Y Qiao Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 15 | 2021 |
| Box-grained reranking matching for multi-camera multi-target tracking X Yang, J Ye, J Lu, C Gong, M Jiang, X Lin, W Zhang, X Tan, Y Li, X Ye, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12 | 2022 |
| Exploring vanilla u-net for lesion segmentation from whole-body fdg-pet/ct scans J Ye, H Wang, Z Huang, Z Deng, Y Su, C Tu, Q Wu, Y Yang, M Wei, J Niu, ... arXiv preprint arXiv:2210.07490, 2022 | 9 | 2022 |
| Sa-med2d-20m dataset: Segment anything in 2d medical imaging with 20 million masks J Ye, J Cheng, J Chen, Z Deng, T Li, H Wang, Y Su, Z Huang, J Chen, ... arXiv preprint arXiv:2311.11969, 2023 | 6 | 2023 |
| Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance Y Su, J Cheng, C Zhong, C Jiang, J Ye, J He Neurocomputing 545, 126233, 2023 | 5 | 2023 |
| FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images Y Su, J Cheng, C Zhong, Y Zhang, J Ye, J He, J Liu Biomedical Signal Processing and Control 83, 104699, 2023 | 4 | 2023 |
