| Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning A Hering, L Hansen, TCW Mok, A Chung, H Siebert, S Häger, A Lange, ... IEEE Transactions on Medical Imaging, 2022 | 205 | 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, 2023 | 79 | 2023 |
| Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration Z Xu, J Luo, J Yan, R Pulya, X Li, W Wells III, J Jagadeesan MICCAI 2020, 2020 | 73 | 2020 |
| 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 | 68 | 2022 |
| 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 MICCAI 2021 (early accept), 2021 | 63 | 2021 |
| 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, RK Tong IEEE Transactions on Medical Imaging, 2022 | 47 | 2022 |
| Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration J Chen, D Lu, Y Zhang, D Wei, M Ning, X Shi, Z Xu, Y Zheng MICCAI 2022, 2022 | 35 | 2022 |
| 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 MICCAI 2022 (early accept), 2022 | 24 | 2022 |
| F3RNet: full-resolution residual registration network for deformable image registration Z Xu, J Luo, J Yan, X Li, J Jayender International Journal of Computer Assisted Radiology and Surgery (IJCARS) 16 …, 2021 | 23* | 2021 |
| Trust It or Not: Confidence-Guided Automatic Radiology Report Generation Y Wang, Z Lin, Z Xu, H Dong, J Tian, J Luo, Z Shi, L Huang, Y Zhang, ... Neurocomputing, 2024 | 21* | 2024 |
| Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration Z Xu, J Luo, D Lu, J Yan, S Frisken, J Jagadeesan, W Wells III, X Li, ... MICCAI 2022 (early accept), 2022 | 19 | 2022 |
| MMedAgent: Learning to Use Medical Tools with Multi-modal Agent B Li, T Yan, Y Pan, J Luo, R Ji, J Ding, Z Xu*, S Liu, H Dong*, Z Lin*, ... EMNLP 2024, 2024 | 15 | 2024 |
| On the Dataset Quality Control for Image Registration Evaluation J Luo, G Ma, N Haouchine, Z Xu, Y Wang, T Kapur, L Ning, WM Wells, ... MICCAI 2022, 2022 | 14* | 2022 |
| Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation Y Wang, Z Xu, J Tian, J Luo, Z Shi, Y Zhang, J Fan, Z He ICASSP 2022, 2022 | 14 | 2022 |
| Weakly Supervised Medical Image Segmentation via Superpixel-Guided Scribble Walking and Class-Wise Contrastive Regularization M Zhou, Z Xu*, K Zhou, RK Tong* MICCAI 2023, 2023 | 13 | 2023 |
| Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation J Yan, H Chen, K Wang, Y Ji, Y Zhu, J Li, D Xie, Z Xu, J Huang, S Cheng, ... MICCAI 2021 (early accept), 2021 | 12 | 2021 |
| Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance Z Xu, J Yan, J Luo, X Li, J Jagadeesan ICASSP 2021, 2021 | 11 | 2021 |
| Diversified and Personalized Multi-rater Medical Image Segmentation Y Wu*, X Luo*, Z Xu, X Guo, L Ju, Z Ge, W Liao, J Cai CVPR 2024 (highlight), 2024 | 8 | 2024 |
| Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data Z Xu, D Lu, J Yan, J Sun, J Luo, D Wei, S Frisken, Q Li, Y Zheng, RK Tong MICCAI 2023 (Oral), 2023 | 6 | 2023 |
| Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation W Pan, J Yan, H Chen, J Yang, Z Xu, X Li, J Yao Information Processing in Medical Imaging (IPMI 2023 oral), 2023 | 6 | 2023 |
Jie Luo (Jax)Harvard Medical SchoolE-mailová adresa ověřena na: mgh.harvard.edu
