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 | 302 | 2023 |
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 | 106 | 2021 |
Unsupervised domain adaptation for medical image segmentation using transformer with meta attention W Ji, ACS Chung IEEE Transactions on Medical Imaging, 2023 | 9 | 2023 |
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 | 9 | 2021 |
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 | 5 | 2019 |
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 | 4 | 2020 |
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 | 2 | 2019 |
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 |