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 | 3350 | 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 | 394 | 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 | 181 | 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 | 150 | 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 | 148 | 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 | 133 | 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 | 80 | 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 | 73* | 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 | 65 | 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 | 56 | 2022 |
SSL4MIS X Luo https://github.com/HiLab-git/SSL4MIS, 2020 | 39 | 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 | 30 | 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 | 30 | 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 | 24 | 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 | 21 | 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 | 17 | 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 |
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 | 12 | 2023 |