| 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 | 514 | 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 | 365 | 2023 |
| Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation J Ma, Y Wang, X An, C Ge, Z Yu, J Chen, Q Zhu, G Dong, J He, Z He, ... Medical physics 48 (3), 1197-1210, 2021 | 308* | 2021 |
| Double-uncertainty weighted method for semi-supervised learning Y Wang, Y Zhang, J Tian, C Zhong, Z Shi, Y Zhang, Z He Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 121 | 2020 |
| How distance transform maps boost segmentation CNNs: an empirical study J Ma, Z Wei, Y Zhang, Y Wang, R Lv, C Zhu, C Gaoxiang, J Liu, C Peng, ... Medical Imaging with Deep Learning, 479-492, 2020 | 92 | 2020 |
| Modality-Pairing Learning for Brain Tumor Segmentation Y Wang, Y Zhang, F Hou, Y Liu, J Tian, C Zhong, Y Zhang, Z He International MICCAI Brainlesion Workshop BrainLes 2020: Brainlesion: Glioma …, 2020 | 88 | 2020 |
| ACN: adversarial co-training network for brain tumor segmentation with missing modalities Y Wang, Y Zhang, Y Liu, Z Lin, J Tian, C Zhong, Z Shi, J Fan, Z He Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 69 | 2021 |
| All-around real label supervision: Cyclic prototype consistency learning for semi-supervised medical image segmentation Z Xu, Y Wang, D Lu, L Yu, J Yan, J Luo, K Ma, Y Zheng, RK Tong IEEE Journal of Biomedical and Health Informatics 26 (7), 3174-3184, 2022 | 57 | 2022 |
| Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation Z Xu, Y Wang, D Lu, X Luo, J Yan, Y Zheng, RK Tong Medical Image Analysis 88, 102880, 2023 | 54 | 2023 |
| Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation Z Xu, D Lu, Y Wang, J Luo, J Jagadeesan, K Ma, Y Zheng, X Li International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 54 | 2021 |
| Does Non-COVID19 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, 106004, 2021 | 52 | 2021 |
| 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 | 45 | 2024 |
| Anti-interference from noisy labels: Mean-teacher-assisted confident learning for medical image segmentation Z Xu, D Lu, J Luo, Y Wang, J Yan, K Ma, Y Zheng, RKY Tong IEEE Transactions on Medical Imaging 41 (11), 3062-3073, 2022 | 39 | 2022 |
| 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 International Workshop on Statistical Atlases and Computational Models of …, 2020 | 28 | 2020 |
| 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 arXiv preprint arXiv:1910.02235, 2019 | 28 | 2019 |
| Denoising for relaxing: unsupervised domain adaptive fundus image segmentation without source data Z Xu, D Lu, Y Wang, J Luo, D Wei, Y Zheng, RK Tong International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 23 | 2022 |
| Deep learning in single-cell analysis D Molho, J Ding, W Tang, Z Li, H Wen, Y Wang, J Venegas, W Jin, R Liu, ... ACM Transactions on Intelligent Systems and Technology 15 (3), 1-62, 2024 | 19 | 2024 |
| DANCE: A deep learning library and benchmark platform for single-cell analysis J Ding, R Liu, H Wen, W Tang, Z Li, J Venegas, R Su, D Molho, W Jin, ... Genome Biology 25 (1), 72, 2024 | 16* | 2024 |
| Trust it or not: Confidence-guided automatic radiology report generation Y Wang, Z Lin, Z Xu, H Dong, J Luo, J Tian, Z Shi, L Huang, Y Zhang, ... Neurocomputing 578, 127374, 2024 | 14* | 2024 |
| SAP-DETR: bridging the gap between salient points and queries-based transformer detector for fast model convergency Y Liu, Y Zhang, Y Wang, Y Zhang, J Tian, Z Shi, J Fan, Z He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
Jiang TianPrincipal Researcher, AI Lab, Lenovo ResearchVerified email at lenovo.com
