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Yulei Qin
Yulei Qin
Tencent Youtu Lab
Dirección de correo verificada de tencent.com
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Año
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
502019
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
432019
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
352019
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
312018
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
192021
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
182020
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
172020
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
152018
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
132020
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
102020
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
102020
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
52020
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
42021
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
22021
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
12023
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
12022
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
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