Chunfeng Lian

113 papers A* 2B 1Journal 63Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
MGAEPL: Multi-Granularity Automated and Editable Prompt Learning for brain tumor segmentation.
Pattern Recognit.
Yongheng Sun, Mingxia Liu, Chunfeng Lian
2026 J jnl
Model-unrolled fast MRI with weakly supervised lesion enhancement.
Medical Image Anal.
Fangmao Ju, Yuzhu He, Fan Wang, Xianjun Li, Chen Niu, Chunfeng Lian, Jianhua Ma
2025 — conf
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation.
ISBI
Yongheng Sun, Mingxia Liu, Chunfeng Lian
2025 J jnl
Anatomy-Aware Deep Unrolling for Task-Oriented Acceleration of Multi-Contrast MRI.
IEEE Trans. Medical Imaging
Yuzhu He, Chunfeng Lian, Ruyi Xiao, Fangmao Ju, Chao Zou, Zongben Xu, Jianhua Ma
2025 — conf
Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-contrast Scans.
MICCAI (16)
Heng Chang, Yu Shang, Haifeng Wang, Yuxia Liang, Haoyu Wang, Fan Wang, Chen Niu, Chunfeng Lian
2025 — conf
CortexGen: A Geometric Generative Framework for Realistic Cortical Surface Generation Using Latent Flow Matching.
MICCAI (2)
Yuanzhuo Zhu, Kehan Li, Jianhua Ma, Chunfeng Lian, Fan Wang
2025 — conf
DIReCT: Domain-Informed Rectified Flow for Controllable Brain MRI to PET Translation.
IPMI (1)
Tuo Liu, Haifeng Wang, Heng Chang, Fan Wang, Chunfeng Lian, Jianhua Ma
2025 J jnl
FEAT: A Multi-Agent Forensic AI System with Domain-Adapted Large Language Model for Automated Cause-of-Death Analysis.
CoRR
Chen Shen, Wanqing Zhang, Kehan Li, Erwen Huang, Haitao Bi, Aiying Fan, Yiwen Shen, Hongmei Dong, Ji Zhang, Yuming Shao, Zengjia Liu, Xinshe Liu, Tao Li, Chunxia Yan, Shuanliang Fan, Di Wu, Jianhua Ma, Bin Cong, Zhenyuan Wang, Chunfeng Lian
2025 — conf
Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction.
MICCAI (15)
Haifeng Wang, Zehua Ren, Heng Chang, Xinmei Qiu, Fan Wang, Chunfeng Lian, Jianhua Ma
2025 — conf
R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation.
ISBI
Yongheng Sun, Yueh Z. Lee, Genevieve A. Woodard, Hongtu Zhu, Chunfeng Lian, Mingxia Liu
2024 J jnl
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation.
CoRR
Yongheng Sun, Mingxia Liu, Chunfeng Lian
2024 — conf
Controllable Counterfactual Generation for Interpretable Medical Image Classification.
MICCAI (10)
Shiyu Liu, Fan Wang, Zehua Ren, Chunfeng Lian, Jianhua Ma
2024 — conf
Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space.
MICCAI (2)
Yuanzhuo Zhu, Chunfeng Lian, Xianjun Li, Fan Wang, Jianhua Ma
2024 J jnl
Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning.
CoRR
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
2024 J jnl
R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation.
CoRR
Yongheng Sun, Yueh Z. Lee, Genevieve A. Woodard, Hongtu Zhu, Chunfeng Lian, Mingxia Liu
2024 J jnl
Spatial Prior-Guided Bi-Directional Cross-Attention Transformers for Tooth Instance Segmentation.
IEEE Trans. Medical Imaging
Pengcheng Li, Chenqiang Gao, Chunfeng Lian, Deyu Meng
2024 — conf
Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis.
MICCAI (2)
Xinmei Qiu, Fan Wang, Yongheng Sun, Chunfeng Lian, Jianhua Ma
2024 — conf
Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-label Learning.
MICCAI (9)
Haoyu Wang, Kehan Li, Jihua Zhu, Fan Wang, Chunfeng Lian, Jianhua Ma
2023 J jnl
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning.
Medical Image Anal.
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
2023 J jnl
BloodNet: An attention-based deep network for accurate, efficient, and costless bloodstain time since deposition inference.
Briefings Bioinform.
Huiyu Li, Chen Shen, Gongji Wang, Qinru Sun, Kai Yu, Zefeng Li, Xinggong Liang, Run Chen, Hao Wu, Fan Wang, Zhenyuan Wang, Chunfeng Lian
2023 A* conf
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan.
ICCV
Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian
2023 J jnl
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan.
CoRR
Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian
2023 J jnl
Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy.
IEEE Trans. Medical Imaging
Fan Wang, Xuanang Xu, Defu Yang, Ronald C. Chen, Trevor J. Royce, Andrew Z. Wang, Jun Lian, Chunfeng Lian
2023 J jnl
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning.
CoRR
Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang, Zhenyuan Wang, Chunfeng Lian
2023 — conf
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning.
MICCAI (6)
Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang, Zhenyuan Wang, Chunfeng Lian
2023 J jnl
MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging.
IEEE Trans. Computational Imaging
Jiazhen Wang, Yan Yang, Heran Yang, Chunfeng Lian, Zongben Xu, Jian Sun
2023 J jnl
MSCA-Net: Multi-scale contextual attention network for skin lesion segmentation.
Pattern Recognit.
Yongheng Sun, Duwei Dai, Qianni Zhang, Yaqi Wang, Songhua Xu, Chunfeng Lian
2023 — conf
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants.
MICCAI (2)
Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian
2023 J jnl
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants.
CoRR
Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian
2023 — conf
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning.
MICCAI (5)
Zehua Ren, Yongheng Sun, Miaomiao Wang, Yuying Feng, Xianjun Li, Chao Jin, Jian Yang, Chunfeng Lian, Fan Wang
2023 J jnl
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning.
CoRR
Zehua Ren, Yongheng Sun, Miaomiao Wang, Yuying Feng, Xianjun Li, Chao Jin, Jian Yang, Chunfeng Lian, Fan Wang
2023 J jnl
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.
IEEE Trans. Medical Imaging
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
2022 J jnl
Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images.
IEEE Trans. Cybern.
Chunfeng Lian, Mingxia Liu, Yongsheng Pan, Dinggang Shen
2022 J jnl
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning.
IEEE Trans. Medical Imaging
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
2022 — ed.
Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
MLMI@MICCAI
Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Zhiming Cui
2022 J jnl
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI.
IEEE Trans. Neural Networks Learn. Syst.
Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen
2022 J jnl
Semantic Graph Attention With Explicit Anatomical Association Modeling for Tooth Segmentation From CBCT Images.
IEEE Trans. Medical Imaging
Pengcheng Li, Yang Liu, Zhiming Cui, Feng Yang, Yue Zhao, Chunfeng Lian, Chenqiang Gao
2022 J jnl
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
IEEE Trans. Medical Imaging
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
2022 J jnl
Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image Segmentation.
IEEE Trans. Medical Imaging
Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
2022 J jnl
Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation.
CoRR
Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
2021 J jnl
A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning.
CoRR
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
2021 — conf
A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning.
MICCAI (4)
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
2021 J jnl
A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers.
Bioinform.
Shenghua He, Chunfeng Lian, Wade Thorstad, Hiram Gay, Yujie Zhao, Su Ruan, Xiaowei Wang, Hua Li
2021 J jnl
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging
Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Pew-Thian Yap, James J. Xia, Dinggang Shen
2021 J jnl
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images.
Medical Image Anal.
Xuanang Xu, Chunfeng Lian, Shuai Wang, Tong Zhu, Ronald C. Chen, Andrew Z. Wang, Trevor J. Royce, Pew-Thian Yap, Dinggang Shen, Jun Lian
2021 — conf
DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models.
MICCAI (4)
Yankun Lang, Hannah H. Deng, Deqiang Xiao, Chunfeng Lian, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia
2021 J jnl
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval.
IEEE Trans. Medical Imaging
Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen
2021 — conf
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning.
MICCAI (4)
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 J jnl
Diverse data augmentation for learning image segmentation with cross-modality annotations.
Medical Image Anal.
Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap
2021 J jnl
Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning.
IEEE J. Biomed. Health Informatics
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
2021 J jnl
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects.
IEEE Trans. Biomed. Eng.
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
2021 J jnl
Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN.
IEEE Trans. Medical Imaging
Xiaoyang Chen, Chunfeng Lian, Hannah H. Deng, Tianshu Kuang, Hung-Ying Lin, Deqiang Xiao, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap
2021 J jnl
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images.
IEEE Trans. Medical Imaging
Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen
2021 — conf
Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images.
IPMI
Zhiming Cui, Bojun Zhang, Chunfeng Lian, Changjian Li, Lei Yang, Wenping Wang, Min Zhu, Dinggang Shen
2021 — ed.
Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
MLMI@MICCAI
Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan
2021 J jnl
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.
Medical Image Anal.
Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen
2021 — conf
Skull Segmentation from CBCT Images via Voxel-Based Rendering.
MLMI@MICCAI
Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia
2021 — conf
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection.
MLMI@MICCAI
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 J jnl
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection.
CoRR
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 A* conf
TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation.
CVPR
Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
2021 J jnl
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
CoRR
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
2021 — conf
VertNet: Accurate Vertebra Localization and Identification Network from CT Images.
MICCAI (5)
Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen
2020 — conf
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image.
MICCAI (4)
Xuanang Xu, Chunfeng Lian, Shuai Wang, Andrew Z. Wang, Trevor J. Royce, Ronald C. Chen, Jun Lian, Dinggang Shen
2020 — conf
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network.
MICCAI (4)
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 J jnl
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners.
IEEE Trans. Medical Imaging
Chunfeng Lian, Li Wang, Tai-Hsien Wu, Fan Wang, Pew-Thian Yap, Ching-Chang Ko, Dinggang Shen
2020 J jnl
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis.
Medical Image Anal.
Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
2020 J jnl
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation.
CoRR
Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen
2020 J jnl
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI.
IEEE Trans. Pattern Anal. Mach. Intell.
Chunfeng Lian, Mingxia Liu, Jun Zhang, Dinggang Shen
2020 J jnl
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations.
IEEE Trans. Biomed. Eng.
Shuai Wang, Qian Wang, Yeqin Shao, Liangqiong Qu, Chunfeng Lian, Jun Lian, Dinggang Shen
2020 — ed.
Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
MLMI@MICCAI
Mingxia Liu, Pingkun Yan, Chunfeng Lian, Xiaohuan Cao
2020 J jnl
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
Xiaopeng Zong, Chunfeng Lian, Jordan Jimenez, Koji Yamashita, Dinggang Shen, Weili Lin
2020 — conf
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT.
MICCAI (4)
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 J jnl
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures.
IEEE Trans. Medical Imaging
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
2020 J jnl
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network.
IEEE Trans. Biomed. Eng.
Mingliang Wang, Chunfeng Lian, Dongren Yao, Daoqiang Zhang, Mingxia Liu, Dinggang Shen
2020 J jnl
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages.
IEEE Trans. Medical Imaging
Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen
2020 J jnl
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation.
CoRR
Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
2020 J jnl
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation.
CoRR
Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen
2020 J jnl
Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores.
IEEE Trans. Cybern.
Mingxia Liu, Jun Zhang, Chunfeng Lian, Dinggang Shen
2019 — conf
A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism.
GLMI@MICCAI
Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Chunfeng Lian, Quansen Sun, Dinggang Shen, Li Wang
2019 J jnl
Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG-PET images.
Multim. Syst.
Fan Wang, Chunfeng Lian, Pierre Vera, Su Ruan
2019 J jnl
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks.
Medical Image Anal.
Tianjiao Liu, Qianqian Guo, Chunfeng Lian, Xuhua Ren, Shujun Liang, Jing Yu, Lijuan Niu, Weidong Sun, Dinggang Shen
2019 — conf
Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN.
GLMI@MICCAI
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 — conf
Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages.
MICCAI (3)
Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen
2019 — conf
End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network.
MICCAI (4)
Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen
2019 J jnl
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions.
IEEE Trans. Image Process.
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2019 — ed.
Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
MLMI@MICCAI
Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian
2019 — conf
MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces.
MICCAI (6)
Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durán, Ching-Chang Ko, Dinggang Shen
2019 — conf
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties.
MICCAI (2)
Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2019 J jnl
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage
Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li
2019 — conf
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI.
GLMI@MICCAI
Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen
2018 J jnl
A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images.
Medical Image Anal.
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
2018 — conf
Active learning with noise modeling for medical image annotation.
ISBI
Jian Wu, Su Ruan, Chunfeng Lian, Sasa Mutic, Mark A. Anastasio, Hua Li
2018 — conf
Construction of spatiotemporal infant cortical surface atlas of rhesus macaque.
ISBI
Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, Gang Li
2018 — conf
Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis.
MLMI@MICCAI
Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
2018 — conf
Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method.
ISBI
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
2018 J jnl
Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.
Medical Image Anal.
Chunfeng Lian, Jun Zhang, Mingxia Liu, Xiaopeng Zong, Sheng-Che Hung, Weili Lin, Dinggang Shen
2018 J jnl
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images.
IEEE Trans. Biomed. Eng.
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2018 — conf
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis.
MICCAI (3)
Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen
2018 — conf
Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion.
ISBI
Chunfeng Lian, Hua Li, Pierre Vera, Su Ruan
2018 — conf
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.
MICCAI (3)
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 B conf
Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images.
ICIP
Chunfeng Lian, Su Ruan, Thierry Denoeux, Yu Guo, Pierre Vera
2017 — —
Information fusion and decision-making using belief functions : application to therapeutic monitoring of cancer. (Fusion de l'information et prise de décisions à l'aide des fonctions de croyance : application au suivi thérapeutique du cancer).
Chunfeng Lian
2017 J jnl
Multimodality semantic segmentation based on polarization and color images.
Neurocomputing
Fan Wang, Samia Ainouz, Chunfeng Lian, Abdelaziz Bensrhair
2017 — conf
Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric.
ISBI
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2016 J jnl
Dissimilarity Metric Learning in the Belief Function Framework.
IEEE Trans. Fuzzy Syst.
Chunfeng Lian, Su Ruan, Thierry Denoeux
2016 — conf
Joint Feature Transformation and Selection Based on Dempster-Shafer Theory.
IPMU (1)
Chunfeng Lian, Su Ruan, Thierry Denoeux
2016 — conf
Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images.
MICCAI (2)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2016 J jnl
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction.
Medical Image Anal.
Chunfeng Lian, Su Ruan, Thierry Denoeux, Fabrice Jardin, Pierre Vera
2016 J jnl
User-friendly random-grid-based visual secret sharing for general access structures.
Secur. Commun. Networks
Liaojun Pang, Deyu Miao, Chunfeng Lian
2015 J jnl
An evidential classifier based on feature selection and two-step classification strategy.
Pattern Recognit.
Chunfeng Lian, Su Ruan, Thierry Denoeux
2015 — conf
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy.
MICCAI (3)
Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2015 J jnl
Generalized Random Grid-Based Visual Secret Sharing for General Access Structures.
Comput. J.
Chunfeng Lian, Liaojun Pang, Jimin Liang
2015 — conf
Outcome prediction in tumour therapy based on Dempster-Shafer theory.
ISBI
Chunfeng Lian, Su Ruan, Thierry Denoeux, Pierre Vera