Chunfeng Lian

发表

Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images

Hua Li, Chunfeng Lian, Su Ruan, 2018, IEEE Transactions on Biomedical Engineering.

Multimodality semantic segmentation based on polarization and color images

Fan Wang, Chunfeng Lian, Samia Ainouz, 2017, Neurocomputing.

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network

Daoqiang Zhang, Liang Sun, Chunfeng Lian, 2019, NeuroImage.

Construction of spatiotemporal infant cortical surface atlas of rhesus macaque

Dinggang Shen, Fan Wang, Li Wang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Automatic Segmentation of 3D Perivascular Spaces in 7T MR Images Using Multi-Channel Fully Convolutional Network.

Dinggang Shen, Jun Zhang, Chunfeng Lian, 2018, Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores

Dinggang Shen, Jun Zhang, Chunfeng Lian, 2020, IEEE Transactions on Cybernetics.

Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages

Chunfeng Lian, Mingxia Liu, Yong Xia, 2019, MICCAI.

Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects

Kim-Han Thung, Chunfeng Lian, Jaime Gateno, 2020, IEEE Transactions on Biomedical Engineering.

TSGCNet: Discriminative Geometric Feature Learning with Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation pdf

Deyu Meng, Chunfeng Lian, Dinggang Shen, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images

Yu Guo, Thierry Denoeux, Chunfeng Lian, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

A deep Boltzmann machine‐driven level set method for heart motion tracking using cine MRI images

Jian Wu, Mark A. Anastasio, Chunfeng Lian, 2018, Medical Image Anal..

Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2015, MICCAI.

MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling

Yinghuan Shi, Chunfeng Lian, Junfeng Zhang, 2020 .

Outcome prediction in tumour therapy based on Dempster-Shafer theory

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network

Daoqiang Zhang, Mingliang Wang, Chunfeng Lian, 2019, IEEE Transactions on Biomedical Engineering.

Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images

Chunfeng Lian, Mingxia Liu, Dinggang Shen, 2020, IEEE Transactions on Cybernetics.

Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages

Chunfeng Lian, Yong Xia, Dinggang Shen, 2020, IEEE Transactions on Medical Imaging.

Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG–PET images

Fan Wang, Chunfeng Lian, Su Ruan, 2017, Multimedia Systems.

Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions

Chunfeng Lian, Thierry Denœux, Su Ruan, 2019, IEEE Transactions on Image Processing.

Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval

Chunfeng Lian, Mingxia Liu, Dinggang Shen, 2020, IEEE Transactions on Medical Imaging.

Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2016, MICCAI.

TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation pdf

Yinghuan Shi, Chunfeng Lian, Junfeng Zhang, 2020, ArXiv.

Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks

Chunfeng Lian, Dinggang Shen, Jing Yu, 2019, Medical Image Anal..

Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis

Dinggang Shen, Chunfeng Lian, Feng Shi, 2018, MLMI@MICCAI.

An evidential classifier based on feature selection and two-step classification strategy

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2015, Pattern Recognit..

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis

Dinggang Shen, Han Zhang, Xiaohuan Cao, 2018, MICCAI.

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2016, IEEE Transactions on Fuzzy Systems.

Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners

Chunfeng Lian, Fan Wang, Dinggang Shen, 2020, IEEE Transactions on Medical Imaging.

One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures

Kim-Han Thung, Chunfeng Lian, Xu Chen, 2020, IEEE Transactions on Medical Imaging.

End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network

Chunfeng Lian, Mingxia Liu, Dinggang Shen, 2019, MICCAI.

Active learning with noise modeling for medical image annotation

Jian Wu, Mark A. Anastasio, Chunfeng Lian, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Treatment Outcome Prediction for Cancer Patients Based on Radiomics and Belief Function Theory

Mark A. Anastasio, Chunfeng Lian, Su Ruan, 2019, IEEE Transactions on Radiation and Plasma Medical Sciences.

High‐Resolution Breast MRI Reconstruction Using a Deep Convolutional Generative Adversarial Network

Dan Hu, Chunfeng Lian, Dinggang Shen, 2020, Journal of magnetic resonance imaging : JMRI.

Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis

Chunfeng Lian, Biao Jie, Feng Shi, 2020, Medical Image Anal..

User-friendly random-grid-based visual secret sharing for general access structures

Chunfeng Lian, Liaojun Pang, Deyu Miao, 2016, Secur. Commun. Networks.

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

Koji Yamashita, Chunfeng Lian, Dinggang Shen, 2020, NeuroImage.

Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties

Chunfeng Lian, Dinggang Shen, Zhengwang Wu, 2019, MICCAI.

A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism

Chunfeng Lian, Quansen Sun, Dinggang Shen, 2019, GLMI@MICCAI.

Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN

Kim-Han Thung, Chunfeng Lian, Jaime Gateno, 2019, GLMI@MICCAI.

Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI

Dinggang Shen, Jun Zhang, Chunfeng Lian, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT

Chunfeng Lian, Jaime Gateno, James J. Xia, 2020, MICCAI.

Generalized Random Grid-Based Visual Secret Sharing for General Access Structures

Chunfeng Lian, Liaojun Pang, Jimin Liang, 2015, Comput. J..

Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces

Li Wang, Chunfeng Lian, Mingxia Liu, 2019, MICCAI.

Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations

Chunfeng Lian, Shuai Wang, Qian Wang, 2020, IEEE Transactions on Biomedical Engineering.

Joint Feature Transformation and Selection Based on Dempster-Shafer Theory

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2016, IPMU.

Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction

Thierry Denoeux, Chunfeng Lian, Su Ruan, 2016, Medical Image Anal..

Anatomical-Landmark-Based Deep Learning for Alzheimer’s Disease Diagnosis with Structural Magnetic Resonance Imaging

Chunfeng Lian, Dinggang Shen, Mingxia Liu, 2019 .

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, C. Lian, 2017 .

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images pdf

Xin Zhang, Yang Gao, Chunfeng Lian, 2020, IEEE Transactions on Medical Imaging.

Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI

Jie Wei, Mingliang Wang, Chunfeng Lian, 2019, GLMI@MICCAI.

Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis

Dinggang Shen, Chunfeng Lian, Mingxia Liu, 2018, MICCAI.

Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Pingkun Yan, Chunfeng Lian, Mingxia Liu, 2019, MLMI@MICCAI.

An Adaptive Low-Rank Modeling-Based Active Learning Method for Medical Image Annotation

Chunfeng Lian, Sasa Mutic, Jian Wu, 2020, IRBM.

Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion

Chunfeng Lian, Su Ruan, Hua Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network

Chunfeng Lian, Jaime Gateno, James J. Xia, 2020, MICCAI.

Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image

Shuai Wang, Chunfeng Lian, Dinggang Shen, 2020, MICCAI.

Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation

Li Wang, Chunfeng Lian, Dinggang Shen, 2020, IEEE Transactions on Medical Imaging.

Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method

Jian Wu, Mark A. Anastasio, Chunfeng Lian, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Multi‐channel multi‐scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images

Dinggang Shen, Jun Zhang, Chunfeng Lian, 2018, Medical Image Anal..

Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images

Dinggang Shen, Chunfeng Lian, Changjian Li, 2021, IPMI.

A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers

Chunfeng Lian, Su Ruan, Hiram Gay, 2021, Bioinform..

Unsupervised Learning of Reference Bony Shapes for Orthognathic Surgical Planning with a Surface Deformation Network.

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, Medical physics.

Segmenting Bones from Brain MRI via Generative Adversarial Learning

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, Machine Learning in Dentistry.

DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models

Chunfeng Lian, Pew-Thian Yap, Jaime Gateno, 2021, MICCAI.

Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning

Chunfeng Lian, Pew-Thian Yap, Jaime Gateno, 2021, IEEE Journal of Biomedical and Health Informatics.

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection

Chunfeng Lian, Pew-Thian Yap, Jaime Gateno, 2021, MLMI@MICCAI.

Skull Segmentation from CBCT Images via Voxel-Based Rendering

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, MLMI@MICCAI.

Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, IEEE Transactions on Medical Imaging.

A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, MICCAI.

Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, Medical Image Anal..

Machine (Deep) Learning for Orthodontic CAD/CAM Technologies

Dinggang Shen, Chunfeng Lian, Tai-Hsien Wu, 2021, Machine Learning in Dentistry.

Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning

Chunfeng Lian, Pew-Thian Yap, Jaime Gateno, 2021, MICCAI.

Machine Learning for Craniomaxillofacial Landmark Digitization of 3D Imaging

Dinggang Shen, Chunfeng Lian, Li Wang, 2021, Machine Learning in Dentistry.

Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans pdf

Dinggang Shen, Chunfeng Lian, Tai-Hsien Wu, 2021, ArXiv.

Sparse Dictionary Learning for 3D Craniomaxillofacial Skeleton Estimation Based on 2D Face Photographs

Dinggang Shen, Kim-Han Thung, Chunfeng Lian, 2021, Machine Learning in Dentistry.

Machine Learning for CBCT Segmentation of Craniomaxillofacial Bony Structures

Dinggang Shen, Chunfeng Lian, Li Wang, 2021, Machine Learning in Dentistry.

VertNet: Accurate Vertebra Localization and Identification Network from CT Images

Dinggang Shen, Chunfeng Lian, Feng Shi, 2021, MICCAI.

Diverse data augmentation for learning image segmentation with cross-modality annotations

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, Medical Image Anal..

Developmental topography of cortical thickness during infancy

Dinggang Shen, Chunfeng Lian, Weili Lin, 2019, Proceedings of the National Academy of Sciences.