| 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 | 50 | 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, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 43 | 2019 |
| 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 | 35 | 2019 |
| 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 | 31 | 2018 |
| 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 | 19 | 2021 |
| 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 | 18 | 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 | 17 | 2020 |
| 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 | 15 | 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 Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 13 | 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 | 10 | 2020 |
| 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 | 10 | 2020 |
| Weakly supervised deep learning for breast cancer segmentation with coarse annotations H Zheng, Z Zhuang, Y Qin, Y Gu, J Yang, GZ Yang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 5 | 2020 |
| Refined local-imbalance-based weight for airway segmentation in CT H Zheng, Y Qin, Y Gu, F Xie, J Sun, J Yang, GZ Yang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 4 | 2021 |
| Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset Y Qin, Y Gu, H Zhang, J Yang, L Wang, Z Wang, F Yao, YM Zhu arXiv preprint arXiv:2106.12991, 2021 | 2 | 2021 |
| 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 | 1 | 2023 |
| Faithful learning with sure data for lung nodule diagnosis H Zhang, L Chen, X Gu, M Zhang, Y Qin, F Yao, Z Wang, Y Gu, GZ Yang arXiv preprint arXiv:2202.12515, 2022 | 1 | 2022 |
| 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 arXiv preprint arXiv:2212.00465, 2022 | | 2022 |
| Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging H Zhang, L Chen, M Zhang, X Gu, Y Qin, W Yu, F Yao, Z Wang, Y Gu, ... Interpretability of Machine Intelligence in Medical Image Computing: 5th …, 2022 | | 2022 |
| An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention C Xia, J Wang, Y Qin, Y Gu, B Chen, J Yang Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022 | | 2022 |
| Investigation of deep learning methods for classification and segmentation of chromosome and pulmonary images Y Qin Université de Lyon; Shanghai Jiao Tong University, 2021 | | 2021 |
Jie YangShanghai Jiao Tong UniversityDirección de correo verificada de sjtu.edu.cn
