| 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 | 1803 | 2018 |
| 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 | 756 | 2019 |
| 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 | 651 | 2017 |
| 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 | 435 | 2017 |
| 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 | 414 | 2015 |
| 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 | 366 | 2021 |
| 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 | 303* | 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 | 298 | 2019 |
| 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 | 271 | 2019 |
| 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 | 270 | 2024 |
| 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 | 270 | 2017 |
| 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 | 181 | 2019 |
| 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 | 163 | 2017 |
| 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 | 159 | 2019 |
| 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 | 156 | 2019 |
| 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 | 147 | 2018 |
| 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 | 146 | 2020 |
| 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 | 127 | 2017 |
| 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 | 113 | 2018 |
| CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images. H Li, J Fang, S Liu, X Liang, X Yang, Z Mai, T Wang, Z Chen, D Ni IEEE JBHI, 2019 | 102 | 2019 |
Dong NiShenzhen University在 szu.edu.cn 的电子邮件经过验证
