| RGBD salient object detection via deep fusion L Qu, S He, J Zhang, J Tian, Y Tang, Q Yang IEEE transactions on image processing 26 (5), 2274-2285, 2017 | 397 | 2017 |
| DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal L Qu, J Tian, S He, Y Tang, RWH Lau IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 301 | 2017 |
| Federated learning for breast density classification: A real-world implementation HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ... Domain Adaptation and Representation Transfer, and Distributed and …, 2020 | 199 | 2020 |
| Light-sheet microscopy in the near-infrared II window F Wang, H Wan, Z Ma, Y Zhong, Q Sun, Y Tian, L Qu, H Du, M Zhang, L Li, ... Nature methods 16 (6), 545-552, 2019 | 182 | 2019 |
| 3d hand pose tracking and estimation using stereo matching J Zhang, J Jiao, M Chen, L Qu, X Xu, Q Yang arXiv preprint arXiv:1610.07214, 2016 | 182 | 2016 |
| Rethinking architecture design for tackling data heterogeneity in federated learning L Qu, Y Zhou, PP Liang, Y Xia, F Wang, E Adeli, L Fei-Fei, D Rubin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 147 | 2022 |
| In vivo non-invasive confocal fluorescence imaging beyond 1,700 nm using superconducting nanowire single-photon detectors F Wang, F Ren, Z Ma, L Qu, R Gourgues, C Xu, A Baghdasaryan, J Li, ... Nature nanotechnology 17 (6), 653-660, 2022 | 120 | 2022 |
| A hand pose tracking benchmark from stereo matching J Zhang, J Jiao, M Chen, L Qu, X Xu, Q Yang 2017 IEEE International Conference on Image Processing (ICIP), 982-986, 2017 | 105 | 2017 |
| Multi-scale context-guided deep network for automated lesion segmentation with endoscopy images of gastrointestinal tract S Wang, Y Cong, H Zhu, X Chen, L Qu, H Fan, Q Zhang, M Liu IEEE Journal of Biomedical and Health Informatics 25 (2), 514-525, 2020 | 91 | 2020 |
| Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains L Qu, Y Zhang, S Wang, PT Yap, D Shen Medical image analysis 62, 101663, 2020 | 82 | 2020 |
| New spectrum ratio properties and features for shadow detection J Tian, X Qi, L Qu, Y Tang Pattern Recognition 51, 85-96, 2016 | 78 | 2016 |
| Label-efficient self-supervised federated learning for tackling data heterogeneity in medical imaging R Yan, L Qu, Q Wei, SC Huang, L Shen, DL Rubin, L Xing, Y Zhou IEEE Transactions on Medical Imaging 42 (7), 1932-1943, 2023 | 72 | 2023 |
| Splitavg: A heterogeneity-aware federated deep learning method for medical imaging M Zhang, L Qu, P Singh, J Kalpathy-Cramer, DL Rubin IEEE Journal of Biomedical and Health Informatics 26 (9), 4635-4644, 2022 | 57 | 2022 |
| In vivo NIR-II structured-illumination light-sheet microscopy F Wang, Z Ma, Y Zhong, F Salazar, C Xu, F Ren, L Qu, AM Wu, H Dai Proceedings of the National Academy of Sciences 118 (6), e2023888118, 2021 | 56 | 2021 |
| High-precision tumor resection down to few-cell level guided by NIR-IIb molecular fluorescence imaging F Wang, L Qu, F Ren, A Baghdasaryan, Y Jiang, RS Hsu, P Liang, J Li, ... Proceedings of the National Academy of Sciences 119 (15), e2123111119, 2022 | 46 | 2022 |
| Dual-domain convolutional neural networks for improving structural information in 3 T MRI Y Zhang, PT Yap, L Qu, JZ Cheng, D Shen Magnetic resonance imaging 64, 90-100, 2019 | 32 | 2019 |
| Learning MRI artefact removal with unpaired data S Liu, KH Thung, L Qu, W Lin, D Shen, PT Yap Nature Machine Intelligence 3 (1), 60-67, 2021 | 31 | 2021 |
| Breast tumor segmentation in DCE-MRI with tumor sensitive synthesis S Wang, K Sun, L Wang, L Qu, F Yan, Q Wang, D Shen IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4990-5001, 2021 | 30 | 2021 |
| Pixel-wise orthogonal decomposition for color illumination invariant and shadow-free image L Qu, J Tian, Z Han, Y Tang Optics express 23 (3), 2220-2239, 2015 | 28 | 2015 |
| An experimental study of data heterogeneity in federated learning methods for medical imaging L Qu, N Balachandar, DL Rubin arXiv preprint arXiv:2107.08371, 2021 | 25 | 2021 |
Yandong Tang中国科学院沈阳自动化研究所教授在 sia.cn 的电子邮件经过验证
