| ToothNet: automatic tooth instance segmentation and identification from cone beam CT images Z Cui, C Li, W Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 198 | 2019 |
| A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images Z Cui, Y Fang, L Mei, B Zhang, B Yu, J Liu, C Jiang, Y Sun, L Ma, J Huang, ... Nature communications 13 (1), 2096, 2022 | 111 | 2022 |
| TSegNet: An efficient and accurate tooth segmentation network on 3D dental model Z Cui, C Li, N Chen, G Wei, R Chen, Y Zhou, D Shen, W Wang Medical Image Analysis 69, 101949, 2021 | 104 | 2021 |
| Unsupervised learning of intrinsic structural representation points N Chen, L Liu, Z Cui, R Chen, D Ceylan, C Tu, W Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 55 | 2020 |
| Tsgcnet: Discriminative geometric feature learning with two-stream graph convolutional network for 3d dental model segmentation L Zhang, Y Zhao, D Meng, Z Cui, C Gao, X Gao, C Lian, D Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 39 | 2021 |
| Domain generalization for mammography detection via multi-style and multi-view contrastive learning Z Li, Z Cui, S Wang, Y Qi, X Ouyang, Q Chen, Y Yang, Z Xue, D Shen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 37 | 2021 |
| Structure-driven unsupervised domain adaptation for cross-modality cardiac segmentation Z Cui, C Li, Z Du, N Chen, G Wei, R Chen, L Yang, D Shen, W Wang IEEE Transactions on Medical Imaging 40 (12), 3604-3616, 2021 | 27 | 2021 |
| Hierarchical morphology-guided tooth instance segmentation from CBCT images Z Cui, B Zhang, C Lian, C Li, L Yang, W Wang, M Zhu, D Shen Information Processing in Medical Imaging: 27th International Conference …, 2021 | 25 | 2021 |
| Morphology and mechanical performance of dental crown designed by 3D-DCGAN H Ding, Z Cui, E Maghami, Y Chen, JP Matinlinna, EHN Pow, ASL Fok, ... dental materials 39 (3), 320-332, 2023 | 24 | 2023 |
| Semi-supervised anatomical landmark detection via shape-regulated self-training R Chen, Y Ma, L Liu, N Chen, Z Cui, G Wei, W Wang Neurocomputing 471, 335-345, 2022 | 23 | 2022 |
| Two-stream graph convolutional network for intra-oral scanner image segmentation Y Zhao, L Zhang, Y Liu, D Meng, Z Cui, C Gao, X Gao, C Lian, D Shen IEEE Transactions on Medical Imaging 41 (4), 826-835, 2021 | 23 | 2021 |
| Semantic graph attention with explicit anatomical association modeling for tooth segmentation from CBCT images P Li, Y Liu, Z Cui, F Yang, Y Zhao, C Lian, C Gao IEEE Transactions on Medical Imaging 41 (11), 3116-3127, 2022 | 20 | 2022 |
| GAN-guided deformable attention network for identifying thyroid nodules in ultrasound images J Lu, X Ouyang, X Shen, T Liu, Z Cui, Q Wang, D Shen IEEE Journal of Biomedical and Health Informatics 26 (4), 1582-1590, 2022 | 19 | 2022 |
| TANet: towards fully automatic tooth arrangement G Wei, Z Cui, Y Liu, N Chen, R Chen, G Li, W Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 19 | 2020 |
| Structure-aware long short-term memory network for 3D cephalometric landmark detection R Chen, Y Ma, N Chen, L Liu, Z Cui, Y Lin, W Wang IEEE Transactions on Medical Imaging 41 (7), 1791-1801, 2022 | 17 | 2022 |
| Chatcad+: Towards a universal and reliable interactive cad using llms Z Zhao, S Wang, J Gu, Y Zhu, L Mei, Z Zhuang, Z Cui, Q Wang, D Shen arXiv preprint arXiv:2305.15964, 2023 | 14 | 2023 |
| Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes L Yang, W Liu, Z Cui, N Chen, W Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 12 | 2020 |
| Self-attention implicit function networks for 3D dental data completion Y Ping, G Wei, L Yang, Z Cui, W Wang Computer Aided Geometric Design 90, 102026, 2021 | 11 | 2021 |
| CorLab-Net: anatomical dependency-aware point-cloud learning for automatic labeling of coronary arteries X Zhang, Z Cui, J Feng, Y Song, D Wu, D Shen Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 9 | 2021 |
| A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework J Zhang, Z Cui, Z Shi, Y Jiang, Z Zhang, X Dai, Z Yang, Y Gu, L Zhou, ... Patterns 4 (9), 2023 | 8 | 2023 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
