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2020 – today
- 2024
[j45]Pengcheng Li
, Chenqiang Gao, Chunfeng Lian, Deyu Meng:
Spatial Prior-Guided Bi-Directional Cross-Attention Transformers for Tooth Instance Segmentation. IEEE Trans. Medical Imaging 43(11): 3936-3948 (2024)- [c39]Shiyu Liu, Fan Wang, Zehua Ren, Chunfeng Lian, Jianhua Ma:
Controllable Counterfactual Generation for Interpretable Medical Image Classification. MICCAI (10) 2024: 143-152 - [c38]Yuanzhuo Zhu, Chunfeng Lian, Xianjun Li, Fan Wang, Jianhua Ma:
Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space. MICCAI (2) 2024: 162-172 - [c37]Xinmei Qiu, Fan Wang, Yongheng Sun, Chunfeng Lian, Jianhua Ma:
Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis. MICCAI (2) 2024: 454-464 - [c36]Haoyu Wang, Kehan Li, Jihua Zhu, Fan Wang, Chunfeng Lian, Jianhua Ma:
Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-label Learning. MICCAI (9) 2024: 723-733 - [i14]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 abs/2407.14904 (2024) - [i13]Yongheng Sun, Yueh Z. Lee, Genevieve A. Woodard, Hongtu Zhu, Chunfeng Lian, Mingxia Liu:
R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation. CoRR abs/2410.18135 (2024) - [i12]Yongheng Sun, Mingxia Liu, Chunfeng Lian:
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation. CoRR abs/2410.19847 (2024) - 2023
- [j44]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) - [j43]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: 102644 (2023) - [j42]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: 109524 (2023) - [j41]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: 1018-1030 (2023) - [j40]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): 336-345 (2023) - [j39]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): 1046-1055 (2023) - [c35]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: 21061-21071 - [c34]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: 202-211 - [c33]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: 220-229 - [c32]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: 528-538 - [i11]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 abs/2301.00815 (2023) - [i10]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 abs/2308.06774 (2023) - [i9]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 abs/2308.14030 (2023) - [i8]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 abs/2309.03440 (2023) - 2022
- [j38]Chunfeng Lian, Mingxia Liu, Yongsheng Pan, Dinggang Shen:
Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images. IEEE Trans. Cybern. 52(4): 1992-2003 (2022) - [j37]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): 826-835 (2022) - [j36]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): 2856-2866 (2022) - [j35]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): 3116-3127 (2022) - [j34]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): 3158-3166 (2022) - [j33]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): 4056-4068 (2022) - [e4]Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Zhiming Cui:
Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13583, Springer 2022, ISBN 978-3-031-21013-6 [contents] - [i7]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 abs/2204.08797 (2022) - 2021
- [j32]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): 3106-3114 (2021) - [j31]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: 102039 (2021) - [j30]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: 102060 (2021) - [j29]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: 102116 (2021) - [j28]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): 362-373 (2021) - [j27]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): 2958-2966 (2021) - [j26]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): 274-285 (2021) - [j25]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): 503-513 (2021) - [j24]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): 2118-2128 (2021) - [j23]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): 3867-3878 (2021) - [c31]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: 6699-6708 - [c30]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: 150-162 - [c29]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: 281-290 - [c28]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: 459-468 - [c27]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: 469-477 - [c26]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: 478-487 - [c25]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: 606-614 - [c24]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: 615-623 - [e3]Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan:
Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12966, Springer 2021, ISBN 978-3-030-87588-6 [contents] - [i6]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 abs/2109.05191 (2021) - [i5]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 abs/2109.11941 (2021) - [i4]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 abs/2110.03828 (2021) - 2020
- [j22]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: 101709 (2020) - [j21]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: 116978 (2020) - [j20]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): 880-893 (2020) - [j19]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): 2241-2252 (2020) - [j18]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): 2710-2720 (2020) - [j17]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): 3381-3392 (2020) - [j16]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): 787-796 (2020) - [j15]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): 2440-2450 (2020) - [j14]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): 2965-2975 (2020) - [c23]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: 470-479 - [c22]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: 807-816 - [c21]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: 817-826 - [e2]Mingxia Liu, Pingkun Yan, Chunfeng Lian, Xiaohuan Cao:
Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12436, Springer 2020, ISBN 978-3-030-59860-0 [contents] - [i3]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 abs/2005.07462 (2020) - [i2]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 abs/2005.10439 (2020) - [i1]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 abs/2012.13697 (2020)
2010 – 2019
- 2019
- [j13]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) - [j12]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): 127-133 (2019) - [j11]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: 114-124 (2019) - [j10]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): 755-766 (2019) - [c20]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: 70-78 - [c19]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: 130-137 - [c18]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: 137-145 - [c17]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: 158-167 - [c16]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: 164-171 - [c15]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: 837-845 - [c14]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: 841-849 - [e1]Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian:
Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11861, Springer 2019, ISBN 978-3-030-32691-3 [contents] - 2018
- [j9]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: 106-117 (2018) - [j8]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: 68-80 (2018) - [j7]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): 21-30 (2018) - [c13]Chunfeng Lian, Hua Li, Pierre Vera, Su Ruan:
Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion. ISBI 2018: 220-223 - [c12]Jian Wu, Su Ruan, Chunfeng Lian, Sasa Mutic, Mark A. Anastasio, Hua Li:
Active learning with noise modeling for medical image annotation. ISBI 2018: 298-301 - [c11]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: 704-707 - [c10]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: 1153-1156 - [c9]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: 1-9 - [c8]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: 411-419 - [c7]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: 455-463 - 2017
- [b1]Chunfeng Lian:
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). University of Technology of Compiègne, France, 2017 - [j6]Fan Wang, Samia Ainouz, Chunfeng Lian, Abdelaziz Bensrhair:
Multimodality semantic segmentation based on polarization and color images. Neurocomputing 253: 193-200 (2017) - [c6]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: 4447-4451 - [c5]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: 1177-1180 - 2016
- [j5]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: 257-268 (2016) - [j4]Liaojun Pang, Deyu Miao, Chunfeng Lian:
User-friendly random-grid-based visual secret sharing for general access structures. Secur. Commun. Networks 9(10): 966-976 (2016) - [j3]Chunfeng Lian, Su Ruan, Thierry Denoeux:
Dissimilarity Metric Learning in the Belief Function Framework. IEEE Trans. Fuzzy Syst. 24(6): 1555-1564 (2016) - [c4]Chunfeng Lian, Su Ruan, Thierry Denoeux:
Joint Feature Transformation and Selection Based on Dempster-Shafer Theory. IPMU (1) 2016: 253-261 - [c3]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: 61-69 - 2015
- [j2]Chunfeng Lian, Liaojun Pang, Jimin Liang:
Generalized Random Grid-Based Visual Secret Sharing for General Access Structures. Comput. J. 58(10): 2426-2442 (2015) - [j1]Chunfeng Lian, Su Ruan, Thierry Denoeux:
An evidential classifier based on feature selection and two-step classification strategy. Pattern Recognit. 48(7): 2318-2327 (2015) - [c2]Chunfeng Lian, Su Ruan, Thierry Denoeux, Pierre Vera:
Outcome prediction in tumour therapy based on Dempster-Shafer theory. ISBI 2015: 63-66 - [c1]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: 695-702
Coauthor Index
[j43] [c34] [i11] [j38] [j37] [j36] [j34] [j33] [i7] [j31] [j30] [j29] [j28] [j26] [j25] [j24] [j23] [c31] [c30] [c29] [c27] [c24] [i6] [i5] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [c23] [c22] [c21] [i3] [i2] [i1] [j13] [j11] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [j9] [c11] [c9] [c8] [c7]
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