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Yi WANG
标题
引用次数
引用次数
年份
Deep Learning in Medical Ultrasound Analysis: A Review
S Liu, Y Wang, X Yang, B Lei, L Liu, SX Li, D Ni, T Wang
Engineering 5 (2), 261-275, 2019
6762019
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Y Wang, H Dou, X Hu, L Zhu, X Yang, M Xu, J Qin, PA Heng, T Wang, ...
IEEE Transactions on Medical Imaging 38 (12), 2768-2778, 2019
1652019
Deeply-Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound
Y Wang, N Wang, M Xu, J Yu, C Qin, X Luo, X Yang, T Wang, A Li, D Ni
IEEE Transactions on Medical Imaging 39 (4), 866-876, 2020
1402020
Deep attentional features for prostate segmentation in ultrasound
Y Wang, Z Deng, X Hu, L Zhu, X Yang, X Xu, PA Heng, D Ni
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
1342018
Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting
J Li, Y Wang, B Lei, JZ Cheng, J Qin, T Wang, S Li, D Ni
IEEE Journal of Biomedical and Health Informatics 22 (1), 215-223, 2018
1022018
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images
X Yang, L Yu, L Wu, Y Wang, D Ni, J Qin, PA Heng
Thirty-First AAAI Conference on Artificial Intelligence, 2017
922017
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels
C Han, J Lin, J Mai, Y Wang, Q Zhang, B Zhao, X Chen, X Pan, Z Shi, Z Xu, ...
Medical Image Analysis 80, 102487, 2022
512022
Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration
Y Wang, JZ Cheng, D Ni, M Lin, J Qin, X Luo, M Xu, X Xie, PA Heng
IEEE Transactions on Medical Imaging 35 (2), 589-604, 2016
512016
Combating uncertainty with novel losses for automatic left atrium segmentation
X Yang, N Wang, Y Wang, X Wang, R Nezafat, D Ni, PA Heng
Statistical Atlases and Computational Models of the Heart. Atrial …, 2019
422019
Densely deep supervised networks with threshold loss for cancer detection in automated breast ultrasound
N Wang, C Bian, Y Wang, M Xu, C Qin, X Yang, T Wang, A Li, D Shen, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
362018
Ranet: Region attention network for semantic segmentation
D Shen, Y Ji, P Li, Y Wang, D Lin
Advances in Neural Information Processing Systems 33, 13927-13938, 2020
332020
Variance‐aware attention U‐Net for multi‐organ segmentation
H Lin, Z Li, Z Yang, Y Wang
Medical Physics 48 (12), 7864-7876, 2021
242021
3D Inception U‐net with Asymmetric Loss for Cancer Detection in Automated Breast Ultrasound
Y Wang, C Qin, C Lin, D Lin, M Xu, X Luo, T Wang, A Li, D Ni
Medical Physics 47 (11), 5582-5591, 2020
232020
Reciprocal learning for semi-supervised segmentation
X Zeng, R Huang, Y Zhong, D Sun, C Han, D Lin, D Ni, Y Wang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
222021
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
X Yang, X Wang, Y Wang, H Dou, S Li, H Wen, Y Lin, PA Heng, D Ni
Computer Methods and Programs in Biomedicine, 105519, 2020
222020
Multitask feature learning meets robust tensor decomposition for eeg classification
Q Zheng, Y Wang, PA Heng
IEEE Transactions on Cybernetics 51 (4), 2242-2252, 2021
202021
Joint affine and deformable three‐dimensional networks for brain MRI registration
Z Zhu, Y Cao, C Qin, Y Rao, D Lin, Q Dou, D Ni, Y Wang
Medical Physics 48 (3), 1182-1196, 2021
182021
Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS
J Liang, X Yang, H Li, Y Wang, MT Van, H Dou, C Chen, J Fang, X Liang, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1793-1797, 2020
172020
Online Robust Image Alignment via Subspace Learning From Gradient Orientations
Q Zheng, Y Wang, PA Heng
Proceedings of the IEEE Conference on Computer Vision, 1753-1762, 2017
162017
Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound
X Yang, H Li, Y Wang, X Liang, C Chen, X Zhou, F Zeng, J Fang, A Frangi, ...
Medical Image Analysis 73, 102134, 2021
152021
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