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Xin Yang
Xin Yang
Assistant Professor of BME, Shenzhen University;RayShape Medical Technology;
Verified email at szu.edu.cn - Homepage
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Cited by
Year
Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ...
IEEE transactions on medical imaging 37 (11), 2514-2525, 2018
14452018
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
6582019
3D Deeply Supervised Network for Automated Segmentation of Volumetric Medical Images
Q Dou, L Yu, H Chen, Y Jin, X Yang, J Qin, PA Heng
Medical Image Analysis 41, 40-54, 2017
6012017
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images
L Yu, X Yang, H Chen, J Qin, PA Heng
AAAI 2017, 2017
4102017
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
H Chen, D Ni, J Qin, S Li, X Yang, T Wang, P Heng
IEEE JBHI, 2015
3892015
Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ...
IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021
2782021
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
X Zhuang, L Li, C Payer, D Stern, M Urschler, MP Heinrich, J Oster, ...
Medical Image Analysis, 2019
2552019
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets
L Yu, JZ Cheng, Q Dou, X Yang, H Chen, J Qin, PA Heng
MICCAI 2017, 2017
2462017
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
S Wang, L Yu, X Yang, CW Fu, PA Heng
IEEE Transactions on Medical Imaging, 2019
2402019
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
WS Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng ...
Medical Image Analysis, 2020
229*2020
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, 2019
1602019
3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images
G Zeng, X Yang, J Li, L Yu, PA Heng, G Zheng
MICCAI Workshop on MLMI, 274-282, 2017
1502017
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, 2019
1352019
Deep Attentional Features for Prostate Segmentation in Ultrasound
Y Wang, Z Deng, X Hu, L Zhu, X Yang, X Xu, PA Heng, D Ni
MICCAI, 523-530, 2018
1312018
Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
S Wang, L Yu, K Li, X Yang, CW Fu, PA Heng
MICCAI 2019, 2019
1302019
Segment Anything Model for Medical Images?
DN Yuhao Huang, Xin Yang, Lian Liu, Han Zhou, Ao Chang, Xinrui Zhou, Rusi ...
Medical Image Analysis, 2024
126*2024
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
S Wang, L Yu, K Li, X Yang, CW Fu, PA Heng
IEEE Transactions on Medical Imaging, 2020
1132020
Cascaded Fully Convolutional Networks for Automatic Prenatal Ultrasound Image Segmentation
L Wu, X Yang, S Li, T Wang, PA Heng, D Ni
IEEE International Symposium on Biomedical Imaging (ISBI 2017), 663-666, 2017
1132017
Towards automated semantic segmentation in prenatal volumetric ultrasound
X Yang, L Yu, S Li, H Wen, D Luo, C Bian, J Qin, D Ni, PA Heng
IEEE Transactions on Medical Imaging, 2018
1062018
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
AAAI 2017, 2017
912017
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