| Transunet: Transformers make strong encoders for medical image segmentation J Chen, Y Lu, Q Yu, X Luo, E Adeli, Y Wang, L Lu, AL Yuille, Y Zhou International Conference on Machine Learning Workshop, 2021 | 5462 | 2021 |
| Semi-supervised medical image segmentation through dual-task consistency X Luo, J Chen, T Song, Y Chen, G Wang, S Zhang AAAI Conference on Artificial Intelligence 35 (10), 8801-8809, 2021 | 603 | 2021 |
| Efficient semi-supervised gross target volume of nasopharyngeal carcinoma segmentation via uncertainty rectified pyramid consistency X Luo, W Liao, J Chen, T Song, Y Chen, S Zhang, N Chen, G Wang, ... MICCAI2021, 318-329, 2021 | 272 | 2021 |
| Semi-supervised medical image segmentation via cross teaching between cnn and transformer X Luo, M Hu, T Song, G Wang, S Zhang International conference on medical imaging with deep learning, 820-833, 2022 | 264 | 2022 |
| Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency X Luo, G Wang, W Liao, J Chen, T Song, Y Chen, S Zhang, DN Metaxas, ... Medical Image Analysis 80, 102517, 2022 | 227 | 2022 |
| Medical image segmentation using squeeze-and-expansion transformers S Li, X Sui, X Luo, X Xu, Y Liu, R Goh IJCAI2021, 807-815, 2021 | 202 | 2021 |
| WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image X Luo, W Liao, J Xiao, T Song, X Zhang, K Li, DN Metaxas, G Wang, ... Medical Image Analysis 82, 102642, 2022 | 154* | 2022 |
| TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers J Chen, J Mei, X Li, Y Lu, Q Yu, Q Wei, X Luo, Y Xie, E Adeli, Y Wang, ... Medical Image Analysis 97, 103280, 2024 | 149* | 2024 |
| Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision X Luo, M Hu, W Liao, S Zhai, T Song, G Wang, S Zhang MICCAI2022 (early accepted & student travel award), 528–538, 2022 | 114 | 2022 |
| MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning X Luo, G Wang, T Song, J Zhang, M Aertsen, J Deprest, S Ourselin, ... Medical image analysis 72, 102102, 2021 | 114 | 2021 |
| 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 | 83 | 2023 |
| SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching X Luo, T Song, G Wang, J Chen, Y Chen, K Li, DN Metaxas, S Zhang Medical Image Analysis 75, 102287, 2022 | 81 | 2022 |
| SSL4MIS X Luo https://github.com/HiLab-git/SSL4MIS, 2020 | 58 | 2020 |
| Fully Test-Time Adaptation for Image Segmentation M Hu, T Song, Y Gu, X Luo, J Chen, Y Chen, Y Zhang, S Zhang MICCAI2021, 251-260, 2021 | 44 | 2021 |
| CPM-Net: A 3d center-points matching network for pulmonary nodule detection in ct scans T Song, J Chen, X Luo, Y Huang, X Liu, N Huang, Y Chen, Z Ye, H Sheng, ... MICCAI2020 (early accepted), 550-559, 2020 | 39 | 2020 |
| PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation G Wang, X Luo, R Gu, S Yang, Y Qu, S Zhai, Q Zhao, K Li, S Zhang Computer methods and programs in biomedicine 231, 107398, 2023 | 36 | 2023 |
| PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation S Zhai, G Wang, X Luo, Q Yue, K Li, S Zhang IEEE Transactions on Medical Imaging, 2023 | 34 | 2023 |
| Mis-fm: 3d medical image segmentation using foundation models pretrained on a large-scale unannotated dataset G Wang, J Wu, X Luo, X Liu, K Li, S Zhang arXiv preprint arXiv:2306.16925, 2023 | 33 | 2023 |
| Deep learning-based accurate delineation of primary gross tumor volume of nasopharyngeal carcinoma on heterogeneous magnetic resonance imaging: a large-scale and multi-center study X Luo, W Liao, Y He, F Tang, M Wu, Y Shen, H Huang, T Song, K Li, ... Radiotherapy and Oncology 180, 109480, 2023 | 31 | 2023 |
| ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding Z Li, Y Zheng, X Luo, D Shan, Q Hong ACM MM2023, 2023 | 26 | 2023 |
Jieneng ChenJohns Hopkins UniversityPatvirtintas el. paštas jhu.edu