An attention-guided deep regression model for landmark detection in cephalograms Z Zhong, J Li, Z Zhang, Z Jiao, X Gao Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 102 | 2019 |
Multispectral fusion transformer network for RGB-thermal urban scene semantic segmentation H Zhou, C Tian, Z Zhang, Q Huo, Y Xie, Z Li IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 28 | 2022 |
Discriminative error prediction network for semi-supervised colon gland segmentation Z Zhang, C Tian, HX Bai, Z Jiao, X Tian Medical image analysis 79, 102458, 2022 | 22 | 2022 |
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation Z Zhang, J Li, Z Zhong, Z Jiao, X Gao arXiv preprint arXiv:1906.07367, 2019 | 20 | 2019 |
A coarse-to-fine deep heatmap regression method for adolescent idiopathic scoliosis assessment Z Zhong, J Li, Z Zhang, Z Jiao, X Gao Computational Methods and Clinical Applications for Spine Imaging: 6th …, 2020 | 15 | 2020 |
Position-aware relation learning for RGB-thermal salient object detection H Zhou, C Tian, Z Zhang, C Li, Y Ding, Y Xie, Z Li IEEE Transactions on Image Processing, 2023 | 14 | 2023 |
Quality-driven deep active learning method for 3D brain MRI segmentation Z Zhang, J Li, C Tian, Z Zhong, Z Jiao, X Gao Neurocomputing 446, 106-117, 2021 | 11 | 2021 |
Visual relationship detection with region topology structure L Zhang, Y Wang, HS Chen, J Li, ZX Zhang Information Sciences 564, 384-395, 2021 | 9 | 2021 |
Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation Z Zhang, C Tian, X Gao, C Wang, X Feng, HX Bai, Z Jiao Neurocomputing 507, 369-382, 2022 | 8 | 2022 |
PixelGame: Infrared small target segmentation as a Nash equilibrium H Zhou, C Tian, Z Zhang, C Li, Y Xie, Z Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 7 | 2022 |
Collaborative boundary-aware context encoding networks for error map prediction Z Zhang, C Tian, X Gao, J Li, Z Jiao, C Wang, Z Zhong Pattern Recognition 125, 108515, 2022 | 6 | 2022 |
Frequency-aware feature aggregation network with dual-task consistency for RGB-T salient object detection H Zhou, C Tian, Z Zhang, C Li, Y Xie, Z Li Pattern Recognition 146, 110043, 2024 | 3 | 2024 |
Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation Z Zhang, R Ran, C Tian, H Zhou, X Li, F Yang, Z Jiao MICCAI 2023, 2023 | 3 | 2023 |
Mutual-and Self-Prototype Alignment for Semi-supervised Medical Image Segmentation Z Zhang, C Tian, Z Jiao arXiv preprint arXiv:2206.01739, 2022 | 3 | 2022 |
A multi-resolution coarse-to-fine segmentation framework with active learning in 3d brain mri Z Zhang, J Li, Z Zhong, Z Jiao, X Gao Intelligence Science and Big Data Engineering. Visual Data Engineering: 9th …, 2019 | 3 | 2019 |
Model-driven self-aware self-training framework for label noise-tolerant medical image segmentation Z Zhang, C Tian, X Gao, R Ran, Y Ye, H Zhou, Z Tong Signal Processing 212, 109177, 2023 | 2 | 2023 |
Attention Guided 3D U-Net for KiTS19 Z Zhong, Z Zhang, Z Jiao University of Minnesota Libraries Publishing, 2019 | 1 | 2019 |
Local–global pseudo-label correction for source-free domain adaptive medical image segmentation Y Ye, Z Zhang, C Tian, W Wei Biomedical Signal Processing and Control 93, 106200, 2024 | | 2024 |
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation Y Ye, Z Zhang, W Wei, C Tian arXiv preprint arXiv:2310.11766, 2023 | | 2023 |
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation Z Zhang, R Ran, C Tian, H Zhou, F Yang, X Li, Z Jiao arXiv preprint arXiv:2305.16216, 2023 | | 2023 |