Chunfeng Lian
Orcid: 0000-0002-9319-6633
According to our database1,
Chunfeng Lian
authored at least 85 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Pattern Recognit., July, 2023
Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy.
IEEE Trans. Medical Imaging, April, 2023
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.
IEEE Trans. Medical Imaging, February, 2023
BloodNet: An attention-based deep network for accurate, efficient, and costless bloodstain time since deposition inference.
Briefings Bioinform., January, 2023
IEEE Trans. Computational Imaging, 2023
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning.
Medical Image Anal., 2023
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan.
CoRR, 2023
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Medical Imaging, 2022
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
IEEE Trans. Medical Imaging, 2022
Semantic Graph Attention With Explicit Anatomical Association Modeling for Tooth Segmentation From CBCT Images.
IEEE Trans. Medical Imaging, 2022
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Cybern., 2022
2021
IEEE Trans. Medical Imaging, 2021
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images.
IEEE Trans. Medical Imaging, 2021
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning.
IEEE J. Biomed. Health Informatics, 2021
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects.
IEEE Trans. Biomed. Eng., 2021
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images.
Medical Image Anal., 2021
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.
Medical Image Anal., 2021
Diverse data augmentation for learning image segmentation with cross-modality annotations.
Medical Image Anal., 2021
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
CoRR, 2021
A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers.
Bioinform., 2021
A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages.
IEEE Trans. Medical Imaging, 2020
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners.
IEEE Trans. Medical Imaging, 2020
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures.
IEEE Trans. Medical Imaging, 2020
Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores.
IEEE Trans. Cybern., 2020
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations.
IEEE Trans. Biomed. Eng., 2020
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network.
IEEE Trans. Biomed. Eng., 2020
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
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, 2020
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis.
Medical Image Anal., 2020
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation.
CoRR, 2020
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation.
CoRR, 2020
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation.
CoRR, 2020
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions.
IEEE Trans. Image Process., 2019
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage, 2019
Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG-PET images.
Multim. Syst., 2019
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks.
Medical Image Anal., 2019
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
2018
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images.
IEEE Trans. Biomed. Eng., 2018
A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images.
Medical Image Anal., 2018
Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.
Medical Image Anal., 2018
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
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).
PhD thesis, 2017
Neurocomputing, 2017
Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
IEEE Trans. Fuzzy Syst., 2016
Secur. Commun. Networks, 2016
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction.
Medical Image Anal., 2016
Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016
2015
An evidential classifier based on feature selection and two-step classification strategy.
Pattern Recognit., 2015
Comput. J., 2015
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015