Liangqiong Qu

Dikutip oleh

	Semua	Sejak 2020
Kutipan	2965	2714
indeks-h	25	24
indeks-i10	35	35

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31 artikel

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Jiandong TianShenyang Institute of Automation, Chinese Academy of SciencesEmail yang diverifikasi di sia.cn
Yandong Tang中国科学院沈阳自动化研究所教授Email yang diverifikasi di sia.cn
Feifei WangAssistant Professor, The University of Hong KongEmail yang diverifikasi di hku.hk
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceEmail yang diverifikasi di shanghaitech.edu.cn
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel HillEmail yang diverifikasi di med.unc.edu
Yuyin ZhouAssistant Professor, Computer Science and Engineering, Genomics Institute, UC Santa CruzEmail yang diverifikasi di ucsc.edu
Qingxiong Yang 杨庆雄VP, WeRide.AIEmail yang diverifikasi di ustc.edu
张佳维 Zhang JiaweiSenseTime ResearchEmail yang diverifikasi di mail.ustc.edu.cn
Shengfeng HeSingapore Management UniversityEmail yang diverifikasi di smu.edu.sg
Jayashree Kalpathy-CramerUniversity of ColoradoEmail yang diverifikasi di cuanschutz.edu
Praveer SinghAssistant Professor, University of Colorado School of MedicineEmail yang diverifikasi di cuanschutz.edu
Jianbo JiaoUniversity of Birmingham | University of OxfordEmail yang diverifikasi di robots.ox.ac.uk
Rynson W.H. LauCity University of Hong KongEmail yang diverifikasi di cityu.edu.hk
Yongqin ZhangZhengzhou UniversityEmail yang diverifikasi di pku.org.cn
Ken ChangStanford UniversityEmail yang diverifikasi di stanford.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityEmail yang diverifikasi di cs.stanford.edu
Ehsan AdeliStanford UniversityEmail yang diverifikasi di stanford.edu
Paul LiangAssistant Professor, Media Lab and EECS, MITEmail yang diverifikasi di mit.edu
Heike E. Daldrup-LinkProfessor of Radiology and (by courtesy) Pediatrics, Stanford UniversityEmail yang diverifikasi di stanford.edu
Joyce Yan-Ran WangStanford University, Northwestern UniversityEmail yang diverifikasi di stanford.edu

Ikuti

Liangqiong Qu

The University of Hong Kong

Email yang diverifikasi di hku.hk - Beranda

Computer Vision Image Synthesis Medical Image Analysis Illumination Modeling Federal Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	411	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	343	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	222	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	199	2019
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	192	2022
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	188	2016
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	159	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	112	2017
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	102	2023
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	102	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	89	2020
New spectrum ratio properties and features for shadow detection J Tian, X Qi, L Qu, Y Tang Pattern Recognition 51, 85-96, 2016	81	2016
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	69	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	62	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	56	2022
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	38	2021
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	37	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	36	2021
Modeling multivariate biosignals with graph neural networks and structured state space models S Tang, JA Dunnmon, Q Liangqiong, KK Saab, T Baykaner, ... Conference on Health, Inference, and Learning, 50-71, 2023	34*	2023
Residual denoising diffusion models J Liu, Q Wang, H Fan, Y Wang, Y Tang, L Qu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	30	2024

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