Yinghuan Shi(史颖欢)
Yinghuan Shi(史颖欢)
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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
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
L Yang, W Zhuo, L Qi, Y Shi, Y Gao
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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
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
Revisiting weak-to-strong consistency in semi-supervised semantic segmentation
L Yang, L Qi, L Feng, W Zhang, Y Shi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mining latent classes for few-shot segmentation
L Yang, W Zhuo, L Qi, Y Shi, Y Gao
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
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
Inconsistency-aware uncertainty estimation for semi-supervised medical image segmentation
Y Shi, J Zhang, T Ling, J Lu, Y Zheng, Q Yu, L Qi, Y Gao
IEEE transactions on medical imaging 41 (3), 608-620, 2021
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Y Shi, HI Suk, M Liu
Springer, 2018
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
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
Real-time abnormal event detection in complicated scenes
Y Shi, Y Gao, R Wang
ICPR, 3653-3656, 2010
Webcaricature: a benchmark for caricature recognition
J Huo, W Li, Y Shi, Y Gao, H Yin
arXiv preprint arXiv:1703.03230, 2017
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
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
Asymmetric distribution measure for few-shot learning
W Li, L Wang, J Huo, Y Shi, Y Gao, J Luo
arXiv preprint arXiv:2002.00153, 2020
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation
X Han, L Qi, Q Yu, Z Zhou, Y Zheng, Y Shi, Y Gao
IEEE Transactions on Medical Imaging, 2021
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
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
Progressive cross-camera soft-label learning for semi-supervised person re-identification
L Qi, L Wang, J Huo, Y Shi, Y Gao
IEEE Transactions on Circuits and Systems for Video Technology 30 (9), 2815-2829, 2020
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