| Varifocal-net: A chromosome classification approach using deep convolutional networks Y Qin, J Wen, H Zheng, X Huang, J Yang, N Song, YM Zhu, L Wu, ... IEEE Transactions on Medical Imaging 38 (11), 2569-2581, 2019 | 101 | 2019 |
| Airwaynet: a voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks Y Qin, M Chen, H Zheng, Y Gu, M Shen, J Yang, X Huang, YM Zhu, ... International conference on medical image computing and computer-assisted …, 2019 | 89 | 2019 |
| Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT Y Qin, H Zheng, Y Gu, X Huang, J Yang, L Wang, F Yao, YM Zhu, ... IEEE Transactions on Medical Imaging, 2020 | 85 | 2020 |
| Alleviating class-wise gradient imbalance for pulmonary airway segmentation H Zheng, Y Qin, Y Gu, F Xie, J Yang, J Sun, GZ Yang IEEE Transactions on Medical Imaging 40 (9), 2452-2462, 2021 | 76 | 2021 |
| Pulmonary nodule segmentation with CT sample synthesis using adversarial networks Y Qin, H Zheng, X Huang, J Yang, YM Zhu Medical Physics 46 (3), 1218-1229, 2019 | 66 | 2019 |
| Multi-site, multi-domain airway tree modeling M Zhang, Y Wu, H Zhang, Y Qin, H Zheng, W Tang, C Arnold, C Pei, P Yu, ... Medical image analysis 90, 102957, 2023 | 50 | 2023 |
| Simultaneous accurate detection of pulmonary nodules and false positive reduction using 3D CNNs Y Qin, H Zheng, YM Zhu, J Yang 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 39 | 2018 |
| Learning bronchiole-sensitive airway segmentation CNNs by feature recalibration and attention distillation Y Qin, H Zheng, Y Gu, X Huang, J Yang, L Wang, YM Zhu International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 36 | 2020 |
| AirwayNet-SE: A simple-yet-effective approach to improve airway segmentation using context scale fusion Y Qin, Y Gu, H Zheng, M Chen, J Yang, YM Zhu 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 809-813, 2020 | 35 | 2020 |
| Improving the slice interaction of 2.5 D CNN for automatic pancreas segmentation H Zheng, L Qian, Y Qin, Y Gu, J Yang Medical Physics 47 (11), 5543-5554, 2020 | 30 | 2020 |
| Mme: A comprehensive evaluation benchmark for multimodal large language models, 2024 C Fu, P Chen, Y Shen, Y Qin, M Zhang, X Lin, J Yang, X Zheng, K Li, ... URL https://arxiv. org/abs/2306.13394 2, 0 | 25 | |
| Small lesion classification in dynamic contrast enhancement MRI for breast cancer early detection H Zheng, Y Gu, Y Qin, X Huang, J Yang, GZ Yang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 22 | 2018 |
| Refined local-imbalance-based weight for airway segmentation in CT H Zheng, Y Qin, Y Gu, F Xie, J Sun, J Yang, GZ Yang International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 20 | 2021 |
| KaryoNet: Chromosome recognition with end-to-end combinatorial optimization network C Xia, J Wang, Y Qin, J Wen, Z Liu, N Song, L Wu, B Chen, Y Gu, J Yang IEEE Transactions on Medical Imaging 42 (10), 2899-2911, 2023 | 15 | 2023 |
| Trustworthy learning with (un) sure annotation for lung nodule diagnosis with CT H Zhang, L Chen, X Gu, M Zhang, Y Qin, F Yao, Z Wang, Y Gu, GZ Yang Medical Image Analysis 83, 102627, 2023 | 14 | 2023 |
| Learning with sure data for nodule-level lung cancer prediction H Zhang, Y Gu, Y Qin, F Yao, GZ Yang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 14 | 2020 |
| Weakly supervised deep learning for breast cancer segmentation with coarse annotations H Zheng, Z Zhuang, Y Qin, Y Gu, J Yang, GZ Yang International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 8 | 2020 |
| Unleashing the power of data tsunami: A comprehensive survey on data assessment and selection for instruction tuning of language models Y Qin, Y Yang, P Guo, G Li, H Shao, Y Shi, Z Xu, Y Gu, K Li, X Sun Transactions on Machine Learning Research, 2025 | 7 | 2025 |
| Sinkhorn distance minimization for knowledge distillation X Cui, Y Qin, Y Gao, E Zhang, Z Xu, T Wu, K Li, X Sun, W Zhou, H Li arXiv preprint arXiv:2402.17110, 2024 | 6 | 2024 |
| Fopro: Few-shot guided robust webly-supervised prototypical learning Y Qin, X Chen, C Chen, Y Shen, B Ren, Y Gu, J Yang, C Shen Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2101-2109, 2023 | 6 | 2023 |
Yun Gu (顾运)Shanghai Jiao Tong UniversityE-mailová adresa ověřena na: sjtu.edu.cn