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Yao Zhang
Yao Zhang
Shanghai AI Lab
在 pjlab.org.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge
N Heller, F Isensee, KH Maier-Hein, X Hou, C Xie, F Li, Y Nan, G Mu, ...
Medical image analysis 67, 101821, 2021
4602021
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
2812021
Abdomenct-1k: Is abdominal organ segmentation a solved problem?
J Ma, Y Zhang, S Gu, C Zhu, C Ge, Y Zhang, X An, C Wang, Q Wang, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6695 …, 2021
2602021
A survey of visual transformers
Y Liu, Y Zhang, Y Wang, F Hou, J Yuan, J Tian, Y Zhang, Z Shi, J Fan, ...
IEEE Transactions on Neural Networks and Learning Systems, 2023
2442023
Double-uncertainty weighted method for semi-supervised learning
Y Wang, Y Zhang, J Tian, C Zhong, Z Shi, Y Zhang, Z He
MICCAI, 542-551, 2020
1122020
Fast and low-GPU-memory abdomen CT organ segmentation: the flare challenge
J Ma, Y Zhang, S Gu, X An, Z Wang, C Ge, C Wang, F Zhang, Y Wang, ...
Medical Image Analysis 82, 102616, 2022
1042022
Modality-aware mutual learning for multi-modal medical image segmentation
Y Zhang, J Yang, J Tian, Z Shi, C Zhong, Y Zhang, Z He
MICCAI, 589-599, 2021
792021
Modality-Pairing Learning for Brain Tumor Segmentation
Y Wang, Y Zhang, F Hou, Y Liu, J Tian, C Zhong, Y Zhang, Z He
MICCAI BrainLes, pp 230-240, 2020
742020
mmformer: Multimodal medical transformer for incomplete multimodal learning of brain tumor segmentation
Y Zhang, N He, J Yang, Y Li, D Wei, Y Huang, Y Zhang, Z He, Y Zheng
MICCAI, 107-117, 2022
732022
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, ...
arXiv preprint arXiv:2308.05862, 2023
522023
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation
Y Wang, Y Zhang, Y Liu, J Tian, C Zhong, Z Shi, Y Zhang, Z He
Computer Methods and Programs in Biomedicine 202, 106004, 2021
482021
Combining convolutional neural network and distance distribution matrix for identification of congestive heart failure
Y Li, Y Zhang, L Zhao, Y Zhang, C Liu, L Zhang, L Zhang, Z Li, B Wang, ...
IEEE Access 6, 39734-39744, 2018
482018
Fully convolutional neural network with post-processing methods for automatic liver segmentation from CT
Y Zhang, Z He, C Zhong, Y Zhang, Z Shi
2017 Chinese Automation Congress (CAC), 3864-3869, 2017
332017
Semi-supervised cardiac image segmentation via label propagation and style transfer
Y Zhang, J Yang, F Hou, Y Liu, Y Wang, J Tian, C Zhong, Y Zhang, Z He
MICCAI STACOM, 219-227, 2021
272021
Cascaded volumetric convolutional network for kidney tumor segmentation from CT volumes
Y Zhang, Y Wang, F Hou, J Yang, G Xiong, J Tian, C Zhong
MICCAI Grand Challenge KiTS19, 2019
272019
Remix: A general and efficient framework for multiple instance learning based whole slide image classification
J Yang, H Chen, Y Zhao, F Yang, Y Zhang, L He, J Yao
MICCAI, 35-45, 2022
192022
Graph attention transformer network for multi-label image classification
J Yuan, S Chen, Y Zhang, Z Shi, X Geng, J Fan, Y Rui
ACM Transactions on Multimedia Computing, Communications and Applications 19 …, 2023
162023
Dermoscopic image analysis for isic challenge 2018
J Zou, X Ma, C Zhong, Y Zhang
arXiv preprint arXiv:1807.08948, 2018
152018
Tumorcp: A simple but effective object-level data augmentation for tumor segmentation
J Yang, Y Zhang, Y Liang, Y Zhang, L He, Z He
MICCAI, 579-588, 2021
142021
DARN: Deep attentive refinement network for liver tumor segmentation from 3D CT volume
Y Zhang, J Tian, C Zhong, Y Zhang, Z Shi, Z He
2020 25th International Conference on Pattern Recognition (ICPR), 7796-7803, 2021
112021
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