Liangqiong Qu
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
New spectrum ratio properties and features for shadow detection
J Tian, X Qi, L Qu, Y Tang
Pattern Recognition 51, 85-96, 2016
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
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
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
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
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
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
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
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
Iterative label denoising network: Segmenting male pelvic organs in CT from 3D bounding box annotations
S Wang, Q Wang, Y Shao, L Qu, C Lian, J Lian, D Shen
IEEE Transactions on Biomedical Engineering 67 (10), 2710-2720, 2020
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