Revisiting nnu-net for iterative pseudo labeling and efficient sliding window inference Z Huang, H Wang, J Ye, J Niu, C Tu, Y Yang, S Du, Z Deng, L Gu, J He MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ …, 2022 | 34 | 2022 |
Exploring vanilla u-net for lesion segmentation from whole-body fdg-pet/ct scans J Ye, H Wang, Z Huang, Z Deng, Y Su, C Tu, Q Wu, Y Yang, M Wei, J Niu, ... arXiv preprint arXiv:2210.07490, 2022 | 9 | 2022 |
Pick the best pre-trained model: Towards transferability estimation for medical image segmentation Y Yang, M Wei, J He, J Yang, J Ye, Y Gu International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
Self pre-training with single-scale adapter for left atrial segmentation C Tu, Z Huang, Z Deng, Y Yang, C Ma, J He, J Ye, H Wang, X Ding Challenge on Left Atrial and Scar Quantification and Segmentation, 24-35, 2022 | 3 | 2022 |
Fdinet: Feature-Decomposition-Interaction Networks for Retinal Vessel Segmentation Y Yang, J Yang, J He, Y Gu 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 1 | 2023 |
RESTORE: Towards Feature Shift for Vision-Language Prompt Learning Y Yang, C Zhang, Z Yang, Y Gao, Y Qin, K Li, X Sun, J Yang, Y Gu arXiv preprint arXiv:2403.06136, 2024 | | 2024 |
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization C Zhang, Y Yang, H Zheng, Y Gu arXiv preprint arXiv:2307.15282, 2023 | | 2023 |
Check for updates Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation C Tu¹, Z Huang, Z Deng, Y Yang, C Ma¹, J He, J Ye, H Wang, X Ding¹ Left Atrial and Scar Quantification and Segmentation: First Challenge …, 2023 | | 2023 |
An evaluation of U-Net in Renal Structure Segmentation H Wang, Z Huang, J Ye, C Tu, Y Yang, S Du, Z Deng, C Ma, J Niu, J He arXiv preprint arXiv:2209.02247, 2022 | | 2022 |