| 2025 | MICCAI | Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-contrast Scans. | Heng Chang, Yu Shang, Haifeng Wang, Yuxia Liang, Haoyu Wang, Fan Wang, Chen Niu, Chunfeng Lian |
| 2025 | MICCAI | Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction. | Haifeng Wang, Zehua Ren, Heng Chang, Xinmei Qiu, Fan Wang, Chunfeng Lian, Jianhua Ma |
| 2025 | MICCAI | CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching. | Yuanzhuo Zhu, Kehan Li, Jianhua Ma, Chunfeng Lian, Fan Wang |
| 2024 | MICCAI | Controllable Counterfactual Generation for Interpretable Medical Image Classification. | Shiyu Liu, Fan Wang, Zehua Ren, Chunfeng Lian, Jianhua Ma |
| 2024 | MICCAI | Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis. | Xinmei Qiu, Fan Wang, Yongheng Sun, Chunfeng Lian, Jianhua Ma |
| 2024 | MICCAI | Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-label Learning. | Haoyu Wang, Kehan Li, Jihua Zhu, Fan Wang, Chunfeng Lian, Jianhua Ma |
| 2024 | MICCAI | Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space. | Yuanzhuo Zhu, Chunfeng Lian, Xianjun Li, Fan Wang, Jianhua Ma |
| 2023 | ICCV | Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. | Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian |
| 2023 | MICCAI | Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning. | Zehua Ren, Yongheng Sun, Miaomiao Wang, Yuying Feng, Xianjun Li, Chao Jin, Jian Yang, Chunfeng Lian, Fan Wang |
| 2023 | MICCAI | Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning. | Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang, Zhenyuan Wang, Chunfeng Lian |
| 2023 | MICCAI | NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants. | Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian |
| 2021 | CVPR | TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation. | Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen |
| 2021 | MICCAI | 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 |
| 2021 | MICCAI | DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models. | Yankun Lang, Hannah H. Deng, Deqiang Xiao, Chunfeng Lian, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia |
| 2021 | MICCAI | SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. | Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia |
| 2021 | MICCAI | Skull Segmentation from CBCT Images via Voxel-Based Rendering. | Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia |
| 2021 | MICCAI | Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning. | Lei Ma, Daeseung Kim, Chunfeng Lian, Deqiang Xiao, Tianshu Kuang, Qin Liu, Yankun Lang, Hannah H. Deng, Jaime Gateno, Ye Wu, Erkun Yang, Michael A. K. Liebschner, James J. Xia, Pew-Thian Yap |
| 2021 | MICCAI | A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. | Deqiang Xiao, Hannah H. Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guo-Fang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia |
| 2020 | MICCAI | Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network. | Yankun Lang, Chunfeng Lian, Deqiang Xiao, Hannah H. Deng, Peng Yuan, Jaime Gateno, Steve Guo-Fang Shen, David M. Alfi, Pew-Thian Yap, James J. Xia, Dinggang Shen |
| 2020 | MICCAI | Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT. | Chunfeng Lian, Fan Wang, Hannah H. Deng, Li Wang, Deqiang Xiao, Tianshu Kuang, Hung-Ying Lin, Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen |
| 2020 | MICCAI | Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image. | Xuanang Xu, Chunfeng Lian, Shuai Wang, Andrew Z. Wang, Trevor J. Royce, Ronald C. Chen, Jun Lian, Dinggang Shen |
| 2019 | MICCAI | Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN. | Yankun Lang, Li Wang, Pew-Thian Yap, Chunfeng Lian, Hannah H. Deng, Kim-Han Thung, Deqiang Xiao, Peng Yuan, Steve Guo-Fang Shen, Jaime Gateno, Tianshu Kuang, David M. Alfi, James J. Xia, Dinggang Shen |
| 2019 | MICCAI | End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network. | Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen |
| 2019 | MICCAI | MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces. | Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durn, Ching-Chang Ko, Dinggang Shen |
| 2019 | MICCAI | A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism. | Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Chunfeng Lian, Quansen Sun, Dinggang Shen, Li Wang |
| 2019 | MICCAI | Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages. | Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen |
| 2019 | MICCAI | Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties. | Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li |
| 2019 | MICCAI | Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. | Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen |
| 2018 | MICCAI | Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. | Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen |
| 2018 | MICCAI | Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. | Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen |
| 2018 | MICCAI | Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. | Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen |
| 2017 | ICIP | Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images. | Chunfeng Lian, Su Ruan, Thierry Denoeux, Yu Guo, Pierre Vera |
| 2016 | IPMU | Joint Feature Transformation and Selection Based on Dempster-Shafer Theory. | Chunfeng Lian, Su Ruan, Thierry Denoeux |
| 2016 | MICCAI | Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images. | Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera |
| 2015 | MICCAI | Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy. | Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera |