| 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 | 452 | 2021 |
| 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 | 301 | 2021 |
| 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 | 289 | 2023 |
| 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 | 283 | 2021 |
| 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 | 113 | 2020 |
| 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 | 107 | 2022 |
| 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 | 90 | 2021 |
| 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 | 85 | 2022 |
| 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 | 77 | 2020 |
| 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 | 50 | 2023 |
| 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 | 49 | 2021 |
| 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 | 49 | 2018 |
| 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 | 33 | 2017 |
| 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 | 27 | 2021 |
| 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 | 27 | 2019 |
| 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 | 25 | 2022 |
| 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 | 18 | 2023 |
| The multimodality cell segmentation challenge: toward universal solutions J Ma, R Xie, S Ayyadhury, C Ge, A Gupta, R Gupta, S Gu, Y Zhang, G Lee, ... Nature methods, 1-11, 2024 | 17 | 2024 |
| MedShapeNet--A large-scale dataset of 3D medical shapes for computer vision J Li, A Pepe, C Gsaxner, G Luijten, Y Jin, N Ambigapathy, E Nasca, ... arXiv preprint arXiv:2308.16139, 2023 | 15 | 2023 |
| 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 | 15 | 2021 |
Yang ZhangLenovo Research在 lenovo.com 的电子邮件经过验证
