| 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 arXiv preprint arXiv:2102.04306, 2021 | 3204 | 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 | 375 | 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, ... Medical Image Computing and Computer-Assisted Intervention, 318-329, 2021 | 175 | 2021 |
| Medical image segmentation using squeeze-and-expansion transformers S Li, X Sui, X Luo, X Xu, Y Liu, R Goh IJCAI2021, 807-815, 2021 | 147 | 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 | 145 | 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 | 121 | 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 | 77 | 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 | 68* | 2022 |
| 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 | 64 | 2022 |
| 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 | 53 | 2022 |
| SSL4MIS X Luo https://github.com/HiLab-git/SSL4MIS, 2020 | 38 | 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 | 29 | 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 | 29 | 2020 |
| 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 | 20 | 2023 |
| 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 | 20 | 2023 |
| Few-Shot Domain Adaptation with Polymorphic Transformers S Li, X Sui, J Fu, H Fu, X Luo, Y Feng, X Xu, Y Liu, DSW Ting, RSM Goh MICCAI2021, 330-340, 2021 | 17 | 2021 |
| Learning Euler's Elastica Model for Medical Image Segmentation X Chen, X Luo, Y Zhao, S Zhang, G Wang, Y Zheng arXiv preprint arXiv:2011.00526, 2020 | 15 | 2020 |
| Learning COVID-19 pneumonia lesion segmentation from imperfect annotations via divergence-aware selective training S Yang, G Wang, H Sun, X Luo, P Sun, K Li, Q Wang, S Zhang IEEE Journal of Biomedical and Health Informatics 26 (8), 3673-3684, 2022 | 13 | 2022 |
| 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 | 12 | 2023 |
| 3d transunet: Advancing medical image segmentation through vision transformers J Chen, J Mei, X Li, Y Lu, Q Yu, Q Wei, X Luo, Y Xie, E Adeli, Y Wang, ... arXiv preprint arXiv:2310.07781, 2023 | 10 | 2023 |
Jieneng ChenJohns Hopkins UniversityVerified email at jhu.edu
