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Yinghuan Shi(史颖欢)
Yinghuan Shi(史颖欢)
Verified email at nju.edu.cn - Homepage
Title
Cited by
Cited by
Year
Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for covid-19
F Shi, J Wang, J Shi, Z Wu, Q Wang, Z Tang, K He, Y Shi, D Shen
IEEE Reviews in Biomedical Engineering, 2020
9352020
Ea-GANs: Edge-aware Generative Adversarial Networks for Cross-modality MR Image Synthesis
B Yu, L Zhou, L Wang, Y Shi, J Fripp, P Bourgeat
IEEE TMI, 2019
1252019
A novel unsupervised camera-aware domain adaptation framework for person re-identification
L Qi, L Wang, J Huo, L Zhou, Y Shi, Y Gao
ICCV, 8080-8089, 2019
1232019
Real-time abnormal event detection in complicated scenes
Y Shi, Y Gao, R Wang
ICPR, 3653-3656, 2010
852010
Pelvic organ segmentation using distinctive curve guided fully convolutional networks
K He, X Cao, Y Shi, D Nie, Y Gao, D Shen
IEEE TMI 38 (2), 585-595, 2018
712018
Crossbar-net: A novel convolutional neural network for kidney tumor segmentation in ct images
Q Yu, Y Shi, J Sun, Y Gao, J Zhu, Y Dai
IEEE TIP 28 (8), 4060-4074, 2019
612019
Maskreid: A mask based deep ranking neural network for person re-identification
L Qi, J Huo, L Wang, Y Shi, Y Gao
arXiv preprint arXiv:1804.03864, 2018
572018
Webcaricature: a benchmark for caricature recognition
J Huo, W Li, Y Shi, Y Gao, H Yin
arXiv preprint arXiv:1703.03230, 2017
572017
Semi-automatic segmentation of prostate in CT images via coupled feature representation and spatial-constrained transductive lasso
Y Shi, Y Gao, S Liao, D Zhang, Y Gao, D Shen
IEEE TPAMI 37 (11), 2286-2303, 2015
56*2015
MRM-lasso: A sparse multiview feature selection method via low-rank analysis
W Yang, Y Gao, Y Shi, L Cao
IEEE TNNLS 26 (11), 2801-2815, 2015
532015
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images
K He, W Zhao, X Xie, W Ji, M Liu, Z Tang, Y Shi, F Shi, Y Gao, J Liu, ...
Pattern Recognition 113, 107828, 2021
512021
Differentiable meta-learning model for few-shot semantic segmentation
P Tian, Z Wu, L Qi, L Wang, Y Shi, Y Gao
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12087 …, 2020
432020
Group-based alternating direction method of multipliers for distributed linear classification
H Wang, Y Gao, Y Shi, R Wang
IEEE TCYB, 2016
372016
Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning
J Huo, Y Gao, Y Shi, W Yang, H Yin
IEEE TCYB, 2017
362017
Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis
Y Shi, HI Suk, Y Gao, D Shen
CVPR, 2721-2728, 2014
332014
Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso
Y Shi, Y Gao, S Liao, D Zhang, Y Gao, D Shen
IEEE TPAMI 37 (11), 2286-2303, 2015
322015
Multimodal sparse representation-based classification for lung needle biopsy images
Y Shi, Y Gao, Y Yang, Y Zhang, D Wang
IEEE TBME 60 (10), 2675-2685, 2013
312013
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis
Y Shi, HI Suk, Y Gao, SW Lee, D Shen
IEEE TNNLS, 2019
272019
XCSc: A novel approach to clustering with extended classifier system
L Shi, Y Shi, Y Gao, L Shang, Y Yang
IJNS 21 (01), 79-93, 2011
272011
Cross-modal metric learning for auc optimization
J Huo, Y Gao, Y Shi, H Yin
IEEE TNNLS 29 (10), 4844-4856, 2018
262018
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