Search Results - "Lian, Chunfeng"

A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images by Cui, Zhiming, Fang, Yu, Mei, Lanzhuju, Zhang, Bojun, Yu, Bo, Liu, Jiameng, Jiang, Caiwen, Sun, Yuhang, Ma, Lei, Huang, Jiawei, Liu, Yang, Zhao, Yue, Lian, Chunfeng, Ding, Zhongxiang, Zhu, Min, Shen, Dinggang

“…Accurate delineation of individual teeth and alveolar bones from dental cone-beam CT (CBCT) images is an essential step in digital dentistry for precision…”
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Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions by Chunfeng Lian, Su Ruan, Denoeux, Thierry, Hua Li, Vera, Pierre

“…Precise delineation of target tumor is a key factor to ensure the effectiveness of radiation therapy. While hybrid positron emission tomography-computed…”
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Developmental topography of cortical thickness during infancy by Wang, Fan, Lian, Chunfeng, Wu, Zhengwang, Zhang, Han, Li, Tengfei, Meng, Yu, Wang, Li, Lin, Weili, Shen, Dinggang, Li, Gang

“…During the first 2 postnatal years, cortical thickness of the human brain develops dynamically and spatially heterogeneously and likely peaks between 1 and 2 y…”
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Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners by Lian, Chunfeng, Wang, Li, Wu, Tai-Hsien, Wang, Fan, Yap, Pew-Thian, Ko, Ching-Chang, Shen, Dinggang

“…Precisely labeling teeth on digitalized 3D dental surface models is the precondition for tooth position rearrangements in orthodontic treatment planning…”
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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 by Zong, Xiaopeng, Lian, Chunfeng, Jimenez, Jordan, Yamashita, Koji, Shen, Dinggang, Lin, Weili

“…Perivascular spaces (PVSs) are fluid-filled spaces surrounding penetrating blood vessels in the brain and are an integral pathway of the glymphatic system. A…”
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Dissimilarity Metric Learning in the Belief Function Framework by Chunfeng Lian, Su Ruan, Denoux, Thierry

“…The evidential K-nearest-neighbor (EK-NN) method provided a global treatment of imperfect knowledge regarding the class membership of training patterns. It has…”
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Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction by Lian, Chunfeng, Ruan, Su, Denœux, Thierry, Jardin, Fabrice, Vera, Pierre

“…•A stable system for cancer treatment outcome prediction is proposed.•Radiomic features extracted from FDG-PET images are used to construct the system.•Input…”
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Factors Associated With the Dilation of Perivascular Space in Healthy Elderly Subjects by Huang, Peiyu, Zhu, Zili, Zhang, Ruiting, Wu, Xiao, Jiaerken, Yeerfan, Wang, Shuyue, Yu, Wenke, Hong, Hui, Lian, Chunfeng, Li, Kaicheng, Zeng, Qingze, Luo, Xiao, Xu, Xiaopei, Yu, Xinfeng, Yang, Yunjun, Zhang, Minming

“…The dilation of perivascular space (PVS) has been widely used to reflect brain degeneration in clinical brain imaging studies. However, PVS characteristics…”
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The relationship of tongue fat content and efficacy of uvulopalatopharyngoplasty in Chinese patients with obstructive sleep apnea by Zhao, Bingjie, Cao, Zine, Xie, Yushan, Shi, Yewen, Zhang, Yitong, Liu, Shiyu, Chen, Xi, Ma, Lina, Niu, Xiaoxin, Su, Yonglong, Feng, Yani, Lian, Chunfeng, Ren, Xiaoyong, Liu, Haiqin

“…Abstract Background To investigate the relationship between tongue fat content and severity of obstructive sleep apnea (OSA) and its effects on the efficacy of…”
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Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric by Chunfeng Lian, Su Ruan, Denoeux, Thierry, Hua Li, Vera, Pierre

“…While accurate tumor delineation in FDG-PET is a vital task, noisy and blurring imaging system makes it a challenging work. In this paper, we propose to…”
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Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images by Chunfeng Lian, Su Ruan, Denoux, Thierry, Yu Guo, Vera, Pierre

“…While hybrid PET/CT scanner is becoming a standard imaging technique in clinical oncology, many existing methods still segment tumor in mono-modality without…”
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Outcome prediction in tumour therapy based on Dempster-Shafer theory by Chunfeng Lian, Su Ruan, Denoux, Thierry, Vera, Pierre

“…Outcome prediction plays a vital role in cancer treatment. It can help to update and optimize the treatment planning. In this paper, we aim to find…”
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Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI by Lian, Chunfeng, Liu, Mingxia, Zhang, Jun, Shen, Dinggang

“…Structural magnetic resonance imaging (sMRI) has been widely used for computer-aided diagnosis of neurodegenerative disorders, e.g., Alzheimer's disease (AD),…”
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Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI by Lian, Chunfeng, Liu, Mingxia, Wang, Li, Shen, Dinggang

“…Accurate prediction of clinical scores (of neuropsychological tests) based on noninvasive structural magnetic resonance imaging (MRI) helps understand the…”
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Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages by Pan, Yongsheng, Liu, Mingxia, Lian, Chunfeng, Xia, Yong, Shen, Dinggang

“…Multi-modal neuroimages, such as magnetic resonance imaging (MRI) and positron emission tomography (PET), can provide complementary structural and functional…”
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Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores by Liu, Mingxia, Zhang, Jun, Lian, Chunfeng, Shen, Dinggang

“…As a hot topic in brain disease prognosis, predicting clinical measures of subjects based on brain magnetic resonance imaging (MRI) data helps to assess the…”
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Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images by Lian, Chunfeng, Liu, Mingxia, Pan, Yongsheng, Shen, Dinggang

“…Deep-learning methods (especially convolutional neural networks) using structural magnetic resonance imaging (sMRI) data have been successfully applied to…”
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Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network by Wang, Mingliang, Lian, Chunfeng, Yao, Dongren, Zhang, Daoqiang, Liu, Mingxia, Shen, Dinggang

“…Early identification of dementia at the stage of mild cognitive impairment (MCI) is crucial for timely diagnosis and intervention of Alzheimer's disease (AD)…”
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Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis by Jie, Biao, Liu, Mingxia, Lian, Chunfeng, Shi, Feng, Shen, Dinggang

“…•A new wc-kernel to measure the correlation of brain regions, with weights learned in a data-driven manner to characterize specific contributions of different…”
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Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks by Liu, Tianjiao, Guo, Qianqian, Lian, Chunfeng, Ren, Xuhua, Liang, Shujun, Yu, Jing, Niu, Lijuan, Sun, Weidong, Shen, Dinggang

“…•We propose an efficient method to automatedly detect and classify thyroid nodules.•Our method combines deep learning and task-specific clinical…”
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