Chunfeng Lian

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 91

Top Venues

IEEE Trans. Medical Imaging

CoRR

Medical Image Anal.

MICCAI (4)

University of Technology of Compiègne, France (PHD)

Education History

University of Technology of Compiègne, France

PHD

Publications

Chen Shen, Chunfeng Lian, Wanqing Zhang, Fan Wang, Jianhua Zhang, Shuanliang Fan, Xin Wei, Gongji Wang, Kehan Li, Hongshu Mu, Hao Wu, Xinggong Liang, Jianhua Ma, Zhenyuan Wang
Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning. CoRR (2024)
Lei Ma, Chunfeng Lian, Dae-Seung Kim, Deqiang Xiao, Dongming Wei, Qin Liu, Tianshu Kuang, Maryam Ghanbari, Guoshi Li, Jaime Gateno, Steve Guo-Fang Shen, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning. Medical Image Anal. 83 (2023)
Huiyu Li, Chen Shen, Gongji Wang, Qinru Sun, Kai Yu, Zefeng Li, Xinggong Liang, Run Chen, Hao Wu, Fan Wang, Zhenyuan Wang, Chunfeng Lian
BloodNet: An attention-based deep network for accurate, efficient, and costless bloodstain time since deposition inference. Briefings Bioinform. 24 (1) (2023)
Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. CoRR (2023)
Jiazhen Wang, Yan Yang, Heran Yang, Chunfeng Lian, Zongben Xu, Jian Sun
MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging. IEEE Trans. Computational Imaging 9 (2023)
Fan Wang, Xuanang Xu, Defu Yang, Ronald C. Chen, Trevor J. Royce, Andrew Z. Wang, Jun Lian, Chunfeng Lian
Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy. IEEE Trans. Medical Imaging 42 (4) (2023)
Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants. CoRR (2023)
Lei Ma, Deqiang Xiao, Daeseung Kim, Chunfeng Lian, Tianshu Kuang, Qin Liu, Hannah H. Deng, Erkun Yang, Michael A. K. Liebschner, Jaime Gateno, James J. Xia, Pew-Thian Yap
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning. IEEE Trans. Medical Imaging 42 (2) (2023)
Zehua Ren, Yongheng Sun, Miaomiao Wang, Yuying Feng, Xianjun Li, Chao Jin, Jian Yang, Chunfeng Lian, Fan Wang
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning. CoRR (2023)
Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. ICCV (2023)
Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang, Zhenyuan Wang, Chunfeng Lian
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning. MICCAI (6) (2023)
Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants. MICCAI (2) (2023)
Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang, Zhenyuan Wang, Chunfeng Lian
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning. CoRR (2023)
Yongheng Sun, Duwei Dai, Qianni Zhang, Yaqi Wang, Songhua Xu, Chunfeng Lian
MSCA-Net: Multi-scale contextual attention network for skin lesion segmentation. Pattern Recognit. 139 (2023)
Zehua Ren, Yongheng Sun, Miaomiao Wang, Yuying Feng, Xianjun Li, Chao Jin, Jian Yang, Chunfeng Lian, Fan Wang
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning. MICCAI (5) (2023)
Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image Segmentation. IEEE Trans. Medical Imaging 41 (4) (2022)
Chunfeng Lian, Mingxia Liu, Yongsheng Pan, Dinggang Shen
Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images. IEEE Trans. Cybern. 52 (4) (2022)
Pengcheng Li, Yang Liu, Zhiming Cui, Feng Yang, Yue Zhao, Chunfeng Lian, Chenqiang Gao
Semantic Graph Attention With Explicit Anatomical Association Modeling for Tooth Segmentation From CBCT Images. IEEE Trans. Medical Imaging 41 (11) (2022)
Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation. CoRR (2022)
Yankun Lang, Chunfeng Lian, Deqiang Xiao, Han Deng, Kim-Han Thung, Peng Yuan, Jaime Gateno, Tianshu Kuang, David M. Alfi, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning. IEEE Trans. Medical Imaging 41 (10) (2022)
Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fan Wang, Li Wang, Chiung-Ying Chiu, Wenchi Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. IEEE Trans. Medical Imaging 41 (11) (2022)
Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fang Wang, Li Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. CoRR (2021)
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
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning. MICCAI (4) (2021)
Xuanang Xu, Chunfeng Lian, Shuai Wang, Tong Zhu, Ronald C. Chen, Andrew Z. Wang, Trevor J. Royce, Pew-Thian Yap, Dinggang Shen, Jun Lian
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images. Medical Image Anal. 72 (2021)
Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. CoRR (2021)
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
A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. CoRR (2021)
Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Pew-Thian Yap, James J. Xia, Dinggang Shen
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 40 (1) (2021)
Shenghua He, Chunfeng Lian, Wade Thorstad, Hiram Gay, Yujie Zhao, Su Ruan, Xiaowei Wang, Hua Li
A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers. Bioinform. 37 (19) (2021)
Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. Medical Image Anal. 71 (2021)
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
A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. MICCAI (4) (2021)
Deqiang Xiao, Chunfeng Lian, Li Wang, Hannah H. Deng, Hung-Ying Lin, Kim-Han Thung, Jihua Zhu, Peng Yuan, Leonel Perez Jr., Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects. IEEE Trans. Biomed. Eng. 68 (2) (2021)
Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images. IEEE Trans. Medical Imaging 40 (8) (2021)
Deqiang Xiao, Chunfeng Lian, Han Deng, Tianshu Kuang, Qin Liu, Lei Ma, Daeseung Kim, Yankun Lang, Xu Chen, Jaime Gateno, Steve Guo-Fang Shen, James J. Xia, Pew-Thian Yap
Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia
Skull Segmentation from CBCT Images via Voxel-Based Rendering. MLMI@MICCAI (2021)
Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen
VertNet: Accurate Vertebra Localization and Identification Network from CT Images. MICCAI (5) (2021)
Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. IEEE Trans. Medical Imaging 40 (2) (2021)
Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. MLMI@MICCAI (2021)
Xiaoyang Chen, Chunfeng Lian, Hannah H. Deng, Tianshu Kuang, Hung-Ying Lin, Deqiang Xiao, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap
Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN. IEEE Trans. Medical Imaging 40 (12) (2021)
Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap
Diverse data augmentation for learning image segmentation with cross-modality annotations. Medical Image Anal. 71 (2021)
Yankun Lang, Hannah H. Deng, Deqiang Xiao, Chunfeng Lian, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia
DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models. MICCAI (4) (2021)
Zhiming Cui, Bojun Zhang, Chunfeng Lian, Changjian Li, Lei Yang, Wenping Wang, Min Zhu, Dinggang Shen
Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images. IPMI (2021)
Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation. CVPR (2021)
Xu Chen, James J. Xia, Dinggang Shen, Chunfeng Lian, Li Wang, Hannah H. Deng, Steve H. Fung, Dong Nie, Kim-Han Thung, Pew-Thian Yap, Jaime Gateno
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Trans. Medical Imaging 39 (3) (2020)
Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation. CoRR (2020)
Mingliang Wang, Chunfeng Lian, Dongren Yao, Daoqiang Zhang, Mingxia Liu, Dinggang Shen
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE Trans. Biomed. Eng. 67 (8) (2020)
Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical Image Anal. 63 (2020)
Shuai Wang, Qian Wang, Yeqin Shao, Liangqiong Qu, Chunfeng Lian, Jun Lian, Dinggang Shen
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations. IEEE Trans. Biomed. Eng. 67 (10) (2020)
Mingxia Liu, Jun Zhang, Chunfeng Lian, Dinggang Shen
Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores. IEEE Trans. Cybern. 50 (7) (2020)
Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation. CoRR (2020)
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
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network. MICCAI (4) (2020)
Xuanang Xu, Chunfeng Lian, Shuai Wang, Andrew Z. Wang, Trevor J. Royce, Ronald C. Chen, Jun Lian, Dinggang Shen
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image. MICCAI (4) (2020)
Chunfeng Lian, Mingxia Liu, Jun Zhang, Dinggang Shen
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE Trans. Pattern Anal. Mach. Intell. 42 (4) (2020)
Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages. IEEE Trans. Medical Imaging 39 (9) (2020)
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
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT. MICCAI (4) (2020)
Chunfeng Lian, Li Wang, Tai-Hsien Wu, Fan Wang, Pew-Thian Yap, Ching-Chang Ko, Dinggang Shen
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners. IEEE Trans. Medical Imaging 39 (7) (2020)
Xiaopeng Zong, Chunfeng Lian, Jordan Jimenez, Koji Yamashita, Dinggang Shen, Weili Lin
Morphology of perivascular spaces and enclosed blood vessels in young to middle-aged healthy adults at 7T: Dependences on age, brain region, and breathing gas. NeuroImage 218 (2020)
Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation. CoRR (2020)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions. IEEE Trans. Image Process. 28 (2) (2019)
Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. GLMI@MICCAI (2019)
Fan Wang, Chunfeng Lian, Pierre Vera, Su Ruan
Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG-PET images. Multim. Syst. 25 (2) (2019)
Tianjiao Liu, Qianqian Guo, Chunfeng Lian, Xuhua Ren, Shujun Liang, Jing Yu, Lijuan Niu, Weidong Sun, Dinggang Shen
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks. Medical Image Anal. 58 (2019)
Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durán, Ching-Chang Ko, Dinggang Shen
MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces. MICCAI (6) (2019)
Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Chunfeng Lian, Quansen Sun, Dinggang Shen, Li Wang
A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism. GLMI@MICCAI (2019)
Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen
End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network. MICCAI (4) (2019)
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
Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN. GLMI@MICCAI (2019)
Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage 198 (2019)
Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen
Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages. MICCAI (3) (2019)
Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties. MICCAI (2) (2019)
Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, Gang Li
Construction of spatiotemporal infant cortical surface atlas of rhesus macaque. ISBI (2018)
Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. MICCAI (3) (2018)
Chunfeng Lian, Jun Zhang, Mingxia Liu, Xiaopeng Zong, Sheng-Che Hung, Weili Lin, Dinggang Shen
Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images. Medical Image Anal. 46 (2018)
Chunfeng Lian, Hua Li, Pierre Vera, Su Ruan
Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion. ISBI (2018)
Jian Wu, Su Ruan, Chunfeng Lian, Sasa Mutic, Mark A. Anastasio, Hua Li
Active learning with noise modeling for medical image annotation. ISBI (2018)
Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. MLMI@MICCAI (2018)
Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. MICCAI (3) (2018)
Jian Wu, Su Ruan, Thomas R. Mazur, Nalini Daniel, Hilary Lashmett, Laura Ochoa, Imran Zoberi, Chunfeng Lian, H. Michael Gach, Sasa Mutic, Maria Thomas, Mark A. Anastasio, Hua Li
Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method. ISBI (2018)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images. IEEE Trans. Biomed. Eng. 65 (1) (2018)
Jian Wu, Thomas R. Mazur, Su Ruan, Chunfeng Lian, Nalini Daniel, Hilary Lashmett, Laura Ochoa, Imran Zoberi, Mark A. Anastasio, H. Michael Gach, Sasa Mutic, Maria Thomas, Hua Li
A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images. Medical Image Anal. 47 (2018)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric. ISBI (2017)
Fan Wang, Samia Ainouz, Chunfeng Lian, Abdelaziz Bensrhair
Multimodality semantic segmentation based on polarization and color images. Neurocomputing 253 (2017)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Yu Guo, Pierre Vera
Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images. ICIP (2017)
Chunfeng Lian, Su Ruan, Thierry Denoeux
Joint Feature Transformation and Selection Based on Dempster-Shafer Theory. IPMU (1) (2016)
Chunfeng Lian, Su Ruan, Thierry Denoeux
Dissimilarity Metric Learning in the Belief Function Framework. IEEE Trans. Fuzzy Syst. 24 (6) (2016)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images. MICCAI (2) (2016)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Fabrice Jardin, Pierre Vera
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction. Medical Image Anal. 32 (2016)
Liaojun Pang, Deyu Miao, Chunfeng Lian
User-friendly random-grid-based visual secret sharing for general access structures. Secur. Commun. Networks 9 (10) (2016)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Pierre Vera
Outcome prediction in tumour therapy based on Dempster-Shafer theory. ISBI (2015)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy. MICCAI (3) (2015)
Chunfeng Lian, Liaojun Pang, Jimin Liang
Generalized Random Grid-Based Visual Secret Sharing for General Access Structures. Comput. J. 58 (10) (2015)
Chunfeng Lian, Su Ruan, Thierry Denoeux
An evidential classifier based on feature selection and two-step classification strategy. Pattern Recognit. 48 (7) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chunfeng Lian