Full publication list can be referred here.

* indicates equal contribution and + indicates corresponding author.

2024

  • Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction

    Zhentao Liu, Yu Fang, Changjian Li, Han Wu, Yuan Liu, Dinggang Shen, Zhiming Cui+.

    IEEE Transactions on Medical Imaging (TMI), 2024.

    [paper] [project page] [code] GitHub Repo stars

  • TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs

    Chenfan Xu, Zhentao Liu, Yuan Liu, Yulong Dou, Jiamin Wu, Jiepeng Wang, Minjiao Wang, Dinggang Shen, Zhiming Cui+.

    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.

    [paper] [project page] [code] GitHub Repo stars

  • Cephalometric Landmark Detection across Ages with Prototypical Network

    Han Wu, Chong Wang, Lanzhuju Mei, Tong Yang, Min Zhu, Dingggang Shen, Zhiming Cui+.

    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.

    [paper] [project page] [code] GitHub Repo stars

  • ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs

    Zihao Zhao, Sheng Wang, Jinchen Gu, Yitao Zhu, Lanzhuju Mei, Zixu Zhuang, Zhiming Cui, Qian Wang, Dinggang Shen+.

    IEEE Transactions on Medical Imaging (TMI), 2024.

    [paper] [code] GitHub Repo stars

2023

  • 3D Structure-guided Network for Tooth Alignment in 2D Photograph

    Yulong Dou, Lanzhuju Mei, Dinggang Shen, Zhiming Cui+.

    British Machine Vision Conference (BMVC), 2023.

    [paper] [code] GitHub Repo stars

  • DTR-Net: Dual-space 3D Tooth Model Reconstruction from Panoramic X-ray Images

    Lanzhuju Mei, Yu Fang, Yue Zhao, Xiang Sean Zhou, Min Zhu, Zhiming Cui+, Dinggang Shen+.

    IEEE Transactions on Medical Imaging (TMI), 2023.

    [paper]

  • Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification with Iterative Cycle-consistent Semi-supervised Learning

    Jiadong Zhang, Zhiming Cui, Luping Zhou, Yiqun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen+.

    IEEE Transactions on Medical Imaging (TMI), 2023.

    [paper]

  • HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis

    Lanzhuju Mei, Yu Fang, Zhiming Cui, Ke Deng, Nizhuan Wang, Xuming He, Yiqiang Zhan, Xiang Zhou, Maurizio Tonetti+, Dinggang Shen+.

    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.

    [paper]

  • Multi-View Vertebra Localization and Identification from CT Images

    Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui+, Dingggang Shen+.

    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.

    [paper] [code] GitHub Repo stars

  • Robust Hybrid Learning for Automatic Teeth Segmentation and Labeling on 3D Dental Models

    Shaojie Zhuang, Guangshun Wei, Zhiming Cui, Yuanfeng Zhou+.

    IEEE Transactions on Multimedia (TMM), 2023.

    [paper]

  • Dental Anatomy Segmentation from Cone Beam CT Images

    Minhui Tan, Yu Fang, Lei Ma, Yu Zhang, Zhiming Cui+, Dingggang Shen.

    International Symposium on Biomedical Imaging (ISBI), 2023.

    [paper]

  • Morphology and Mechanical Performance of Dental Crown Designed by 3D-DCGAN

    Hao Ding, Zhiming Cui, Ebrahim Maghami, Yanning Chen, Jukka Pekka Matinlinna, Edmond Ho Nang Pow, Alex Siu Lun Fok, Michael Francis Burrow, Wenping Wang, James Kit Hon Tsoi+.

    Dental Materials, 2023.

    [paper]

  • Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images

    Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Shanshan Guo, Fei Gao, Dinggang Shen+.

    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

    [paper]

2022

  • BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation from Both Partially and Fully Labeled CT Images

    Chong Wang*, Zhiming Cui*, Junwei Yang, Miaofei Han, Gustavo Carneiro, Dinggang Shen+.

    IEEE Transactions on Medical Imaging (TMI), 2022.

    [paper]

  • Grayscale Self-adjusting Network with Weak Feature Enhancement for 3D Lumbar Anatomy Segmentation

    Jinhua Liu, Zhiming Cui, Christian Desrosiers, Shuyi Lu, Yuanfeng Zhou+.

    Medical Image Analysis (MedIA), 2022.

    [paper]

  • Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints

    Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Jingyang Zhang, Fei Gao, Dinggang Shen+.

    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.

    [paper]

  • Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images

    Yu Fang, Zhiming Cui, Lei Ma, Lanzhuju Mei, Bojun Zhang, Yue Zhao, Zhihao Jiang, Yiqiang Zhan, Yongsheng Pan, Min Zhu, Dinggang Shen+.

    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.

    [paper]

  • A fully Automatic AI System for Tooth and Alveolar Bone Segmentation from Cone-beam CT Images

    Zhiming Cui, Yu Fang, Lanzhuju Mei, Bojun Zhang, Bo Yu, Jiameng Liu, Caiwen Jiang, Yuhang Sun, Lei Ma, Jiawei Huang, Yang Liu, Yue Zhao+, Chunfeng Lian+, Zhongxiang Ding+, Min Zhu+, and Dinggang Shen+.

    Nature Communications, 2022.

    [paper] [code] GitHub Repo stars

  • Reconstruction of Standard-Dose Pet From Low-Dose Pet Via Dual-Frequency Supervision and Global Aggregation Module

    Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Dinggang Shen+.

    IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022.

    [paper]

  • Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection

    Runnan Chen, Yuexin Ma, Nenglun Chen, Lingjie Liu, Zhiming Cui, Yanhong Lin, Wenping Wang+.

    IEEE Transactions on Medical Imaging (TMI), 2022.

    [paper]

  • Semantic Graph Attention with Explicit Anatomical Association Modeling for Tooth Segmentation from CBCT Images

    Pengcheng Li, Yang Liu, Zhiming Cui, Feng Yang, Yue Zhao+, Chunfeng Lian+, Chenqiang Gao.

    IEEE Transactions on Medical Imaging (TMI), 2022.

    [paper]

  • Dense Representative Tooth Landmark/Axis Detection Network on 3D Model

    Guangshun Wei, Zhiming Cui, Jie Zhu, Lei Yang, Yuanfeng Zhou, P Singh, Min Gu, Wenping Wang+.

    Computer Aided Geometric Design (CAGD), 2022.

    [paper]

2021

  • Self-Attention Implicit Function Networks for 3D Dental Data Completion

    Yuhan Ping, Guodong Wei, Lei Yang, Zhiming Cui, Wenping Wang+.

    Computer Aided Geometric Design (CAGD), 2021.

    [paper]

  • Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

    Zheren Li*, Zhiming Cui*, Sheng Wang, Yuji Qi, Ouyang Xi, Yuezhi Yang, Jiezhi Cheng+.

    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

    [paper]

  • Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint

    Yuhang Sun, Dongming Wei, Zhiming Cui, YUjia Zhou, Caiwen Jiang, Jiameng Liu, Qianjin Feng, Dinggang Shen+.

    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

    [paper]

  • Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images

    Xukun Zhang*, Zhiming Cui*, Jie Wei, Jingjiao Lou, Changan Chen, Wenxin Hu, He Zhang, Tao Zhou, Feng Shi, Dinggang Shen+.

    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

    [paper]

  • VertNet: Accurate Vertebra Localization and Identification Network from CT Images

    Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen+.

    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

    [paper]

  • Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks

    Jie Wei, Feng Shi, Zhiming Cui, Yongsheng Pan, Yong Xia, Dinggang Shen+.

    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

    [paper]

  • Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation

    Zhiming Cui, Changjian Li, Nenglun Chen, Guodong Wei, Runnan Chen, Lei Yang, Dinggang Shen, Wenping Wang+.

    IEEE Transactions on Medical Imaging (TMI), 2021.

    [paper]

  • Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images

    Zhiming Cui, Bojun Zhang, Chunfeng Lian, Changjian Li, Yang Lei, Min Zhu, Wenping Wang, Dinggang Shen.

    Information Processing in Medical Imaging (IPMI Oral), 2021.

    [paper]

  • TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation

    Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Chunfeng Lian, Dinggang Shen+.

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

    [paper]

2020

  • TSegNet: An Efficient and Accurate Tooth Segmentation Network on 3D Dental Model

    Zhiming Cui, Changjian Li, Nenglun Chen, Guodong Wei, Runnan Chen, Yuanfeng Zhou, Dinggang Shen, Wenping Wang+.

    Medical Image Analysis (MedIA), 2020.

    [paper]

  • TANet: Towards Fully Automatic Tooth Arrangement

    Guodong Wei, Zhiming Cui, Yumeng Liu, Nenglun Chen, Runnan Chen, Guiqing Li, Wenping Wang+.

    European Conference on Computer Vision (ECCV), 2020.

    [paper]

  • Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes

    Yang Lei, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang+.

    European Conference on Computer Vision (ECCV), 2020.

    [paper]

  • Unsupervised Learning of Intrinsic Structural Representation Points

    Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Changhe Tu, Wenping Wang+.

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

    [paper] [code] GitHub Repo stars

2019

  • ToothNet: Automatic Tooth Instance Segmentation and Identification from Cone Beam CT Images

    Zhiming Cui, Changjian Li, Wenping Wang+.

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

    [paper]