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Wen JI
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Transformers in medical image analysis
K He, C Gan, Z Li, I Rekik, Z Yin, W Ji, Y Gao, Q Wang, J Zhang, D Shen
Intelligent Medicine 3 (1), 59-78, 2023
3022023
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images
K He, W Zhao, X Xie, W Ji, M Liu, Z Tang, Y Shi, F Shi, Y Gao, J Liu, ...
Pattern recognition 113, 107828, 2021
1062021
Unsupervised domain adaptation for medical image segmentation using transformer with meta attention
W Ji, ACS Chung
IEEE Transactions on Medical Imaging, 2023
92023
Cross-modality brain tumor segmentation via bidirectional global-to-local unsupervised domain adaptation
K He, W Ji, T Zhou, Z Li, J Huo, X Zhang, Y Gao, D Shen, B Zhang, ...
arXiv preprint arXiv:2105.07715, 2021
92021
Deepmef: A deep model ensemble framework for video based multi-modal person identification
C Dong, Z Gu, Z Huang, W Ji, J Huo, Y Gao
Proceedings of the 27th ACM International Conference on Multimedia, 2531-2534, 2019
52019
Transformers in medical image analysis: A review. arXiv 2022
K He, C Gan, Z Li, I Rekik, Z Yin, W Ji, Y Gao, Q Wang, J Zhang, D Shen
arXiv preprint arXiv:2202.12165, 0
5
Transformers in medical image analysis: a review (2022)
K He, C Gan, Z Li, I Rekik, Z Yin, W Ji, Y Gao, Q Wang, J Zhang, D Shen
Preprint arXiv 2202, 0
5
Unsupervised domain attention adaptation network for caricature attribute recognition
W Ji, K He, J Huo, Z Gu, Y Gao
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
42020
Feature-selected and-preserved sampling for high-dimensional stream data summary
Q Yu, W Ji, Y Gao
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
22019
Diffusion-Based Domain Adaptation for Medical Image Segmentation Using Stochastic Step Alignment
W Ji, ACS Chung
International Conference on Medical Image Computing and Computer-Assisted …, 2024
2024
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