| Toward clinically applicable 3-dimensional tooth segmentation via deep learning J Hao, W Liao, YL Zhang, J Peng, Z Zhao, Z Chen, BW Zhou, Y Feng, ... Journal of dental research 101 (3), 304-311, 2022 | 38 | 2022 |
| A chatgpt aided explainable framework for zero-shot medical image diagnosis J Liu, T Hu, Y Zhang, X Gai, Y Feng, Z Liu arXiv preprint arXiv:2307.01981, 2023 | 22 | 2023 |
| Fast model debias with machine unlearning R Chen, J Yang, H Xiong, J Bai, T Hu, J Hao, Y Feng, JT Zhou, J Wu, Z Liu Advances in Neural Information Processing Systems 36, 2024 | 19 | 2024 |
| Hierarchical self-supervised learning for 3D tooth segmentation in intra-oral mesh scans Z Liu, X He, H Wang, H Xiong, Y Zhang, G Wang, J Hao, Y Feng, F Zhu, ... IEEE Transactions on Medical Imaging 42 (2), 467-480, 2022 | 18 | 2022 |
| Identifying the dominant prostate cancer focal lesion using image analysis and planning of a simultaneous integrated stereotactic boost Y Feng, D Welsh, K McDonald, L Carruthers, K Cheng, D Montgomery, ... Acta Oncologica 54 (9), 1543-1550, 2015 | 16 | 2015 |
| On the effectiveness of out-of-distribution data in self-supervised long-tail learning J Bai, Z Liu, H Wang, J Hao, Y Feng, H Chu, H Hu arXiv preprint arXiv:2306.04934, 2023 | 13 | 2023 |
| Parameter-efficient transfer learning for medical visual question answering J Liu, T Hu, Y Zhang, Y Feng, J Hao, J Lv, Z Liu IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 | 11 | 2023 |
| Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction J Liu, J Hao, H Lin, W Pan, J Yang, Y Feng, G Wang, J Li, Z Jin, Z Zhao, ... Patterns 4 (9), 2023 | 11 | 2023 |
| Invited Review—Image Registration in Veterinary Radiation Oncology: Indications, Implications, and Future Advances Y Feng, J Lawrence, K Cheng, D Montgomery, L Forrest, DB Mclaren, ... Veterinary Radiology & Ultrasound 57 (2), 113-123, 2016 | 9 | 2016 |
| Identifying radiotherapy target volumes in brain cancer by image analysis K Cheng, D Montgomery, Y Feng, R Steel, H Liao, DB McLaren, ... Healthcare technology letters 2 (5), 123-128, 2015 | 7 | 2015 |
| Unsupervised pre-training improves tooth segmentation in 3-Dimensional intraoral mesh scans X He, H Wang, H Hu, J Yang, Y Feng, G Wang, L Zuozhu International Conference on Medical Imaging with Deep Learning, 493-507, 2022 | 6 | 2022 |
| ToothSegNet: image degradation meets tooth segmentation in CBCT images J Liu, T Hu, Y Feng, W Ding, Z Liu 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 4 | 2023 |
| Ai-enabled automatic multimodal fusion of cone-beam ct and intraoral scans for intelligent 3d tooth-bone reconstruction and clinical applications J Hao, J Liu, J Li, W Pan, R Chen, H Xiong, K Sun, H Lin, W Liu, W Ding, ... arXiv preprint arXiv:2203.05784, 2022 | 4 | 2022 |
| TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer H Xiong, K Li, K Tan, Y Feng, JT Zhou, J Hao, H Ying, J Wu, Z Liu International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| TFormer: 3D tooth segmentation in mesh scans with geometry guided transformer H Xiong, K Li, K Tan, Y Feng, JT Zhou, J Hao, Z Liu arXiv preprint arXiv:2210.16627, 2022 | 3 | 2022 |
| Knowledge-guided pre-training and fine-tuning: Video representation learning for action recognition G Wang, Y Zhou, Z He, K Lu, Y Feng, Z Liu, G Wang Neurocomputing 571, 127136, 2024 | 2 | 2024 |
| Clinically applicable system for 3D teeth segmentation in intraoral scans using deep learning J Hao, W Liao, Y Zhang, P Li, J Yi, J Peng, Z Zhao, Z Chen, W Shi, T Chen, ... | 2 | 2020 |
| MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale X Gai, C Zhou, J Liu, Y Feng, J Wu, Z Liu arXiv preprint arXiv:2404.12372, 2024 | 1 | 2024 |
| Model Adaptive Tooth Segmentation R Chen, J Yang, Y Feng, J Hao, Z Liu Medical Imaging with Deep Learning, 2024 | 1 | 2024 |
| Divide and Conquer for Large Language Models Reasoning Z Meng, Y Zhang, Z Feng, Y Feng, G Wang, JT Zhou, J Wu, Z Liu arXiv preprint arXiv:2401.05190, 2024 | 1 | 2024 |
