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Xin Yang (楊鑫)
Xin Yang (楊鑫)
Associate Professor of BME, Shenzhen University
Bestätigte E-Mail-Adresse bei szu.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
20202018
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
7922019
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
6722017
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
4432017
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
4202015
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
4122021
Segment Anything Model for Medical Images?
Y Huang, X Yang, L Liu, H Zhou, A Chang, X Zhou, R Chen, J Yu, J Chen, ...
Medical Image Analysis, 2024
3652024
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ...
Medical Image Analysis, 2020
364*2020
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
3132019
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
2862019
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
2742017
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
1902019
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
1702019
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
1682017
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
1672019
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
1652020
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
1502018
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
1342017
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge
J Ma, Y Zhang, S Gu, C Ge, S Ma, A Young, C Zhu, K Meng, X Yang, ...
The Lancet Digital Health, 2024
1312024
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
1192018
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