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周悦,陈后金,李艳凤,Liu,Xu,Wang,Yap,Shen.Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images.Medical Image Analysis,2021,None(70)
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李家忻,陈后金,李艳凤,彭亚辉,蔡纳新,曹旭阳.AMRSegNet: adaptive modality recalibration network for lung tumor segmentation on multi-modal MR images.Multimedia Tools and Applications,2021,None(None)
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蔡纳新,陈后金,李艳凤,彭亚辉,李居朋.Reducing non-realistic deformations in registration using precise and reliable landmark correspondences.Computers in Biology and Medicine,2019,115(115)
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王敏鋆,陈后金,李艳凤,游宇豪,朱锦雷.Multi-scale pedestrian detection based on self-attention and adaptively spatial feature fusion.IET Intelligent Transport Systems,2021,6(15)
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朱晓迪,李艳凤,孙嘉,陈后金,朱锦雷.Learning with noisy labels method for unsupervised domain adaptive person re-identification.Neurocomputing,2021,无(452)
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张子璐,李艳凤,吴文,陈后金,程琳,王舒.Tumor detection using deep learning method in automated breast ultrasound.Biomedical Signal Processing and Control,2021,无(68)
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孙嘉,李艳凤,陈后金,张斌,朱锦雷.MEMF: Multi-level-attention emb e dding and multi-layer-feature fusion model for person re-identification.Pattern Recognition,2021,无(116)
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曹旭阳,陈后金,李艳凤,彭亚辉,王舒,程琳.Dilated densely connected U-Net with uncertainty focus loss for 3D ABUS mass segmentation.Computer Methods and Programs in Biomedicine,2021,0(209)
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李艳凤,张斌,孙嘉,陈后金,朱晓迪,朱锦雷.Person re-identification based on activation guided identity and attribute classification model.Multimedia Tools and Applications,2021,无(80)
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朱晓迪,李艳凤,孙嘉,陈后金,朱锦雷.Unsupervised domain adaptive person re-identification via camera penalty learning.Multimedia Tools and Applications,2021,无(80)
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张林林,李艳凤,吴文,陈后金,彭亚辉.Salient detection network for lung nodule detection in 3D Thoracic MRI Images.Biomedical Signal Processing and Control,2021,无(66)
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孙嘉,李艳凤,陈后金,彭亚辉,朱晓迪,朱锦雷.Visible-infrared cross-modality person re-identification based on whole-individual training.Neurocomputing,2021,无(440)
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孙嘉,李艳凤,陈后金,彭亚辉,朱锦雷.Unsupervised Cross Domain Person Re-Identification by Multi-Loss Optimization Learning.IEEE TRANSACTIONS ON IMAGE PROCESSING,2021,无(30)
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李艳凤,吴文,陈后金,程琳,王舒.3D tumor detection in automated breast ultrasound using deep convolutional neural network.MEDICAL PHYSICS,2020,11(47)
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王鑫慧,陈后金,万齐,李艳凤,蔡纳新,李新春,彭亚辉.Motion correction and noise removing in lung diffusion-weighted MRI using low-rank decomposition.Medical & Biological Engineering & Computing,2020,9(58)
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蔡纳新,陈后金,李艳凤,彭亚辉,李家忻.Adaptive Weighting Landmark-based Group-wise Registration On Lung DCE-MRI Images.IEEE Transactions on Medical Imaging,2020,0(0)
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曹旭阳,陈后金,李艳凤,彭亚辉,王舒,程琳.Uncertainty Aware Temporal-Ensembling Model for Semi-supervised ABUS Mass Segmentation.IEEE Transactions on Medical Imaging,2021,1(40)
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王鑫慧,万齐,陈后金,李艳凤,李新春.Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.EUROPEAN RADIOLOGY,2020,8(30)
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李艳凤,张斌,孙嘉,陈后金,朱锦雷.基于多池化融合与背景消除网络的跨数据集行人再识别方法.通信学报,2020,10(41)
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李艳凤,张林林,陈后金,程琳.Mass detection in mammograms by bilateral analysis using convolution neural network.Computer Methods and Programs in Biomedicine,2020,无(195)
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于翠如,陈后金,李艳凤,彭亚辉,李居朋,杨帆.Correction to: Breast cancer classification in pathological images based on hybrid features (Multimedia Tools and Applications, (2019), 78, 15, (21325-21345), 10.1007/s11042-019-7468-9).Multimedia Tools and Applications,2019,15(78)
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李艳凤,张林林,陈后金,杨娜.Lung Nodule Detection With Deep Learning in 3D Thoracic MR Images.IEEE Access,2019,-(7)
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李艳凤,曹旭阳,陈后金,张林林,杨娜.基于机器视觉的列车外齿轮磨损状态检测方法.铁道学报,2019,12(40)
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曹霖,陈后金,李居朋,李艳凤,程琳.对比双侧视图信息的致密型乳腺X线图像肿块检测.计算机辅助设计与图形学学报,2018,10(30)
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吕文超,陈后金,彭亚辉,李艳凤,李居朋.An atlas-based multimodal registration method for 2D images with discrepancy structures.Medical & Biological Engineering & Computing,2018,56(11)
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李艳凤,陈后金,曹霖,韩振中,程琳.基于哈希理论和LNP反馈的乳腺X线图像肿块检索方法.物理学报,2014,20(63)
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李艳凤,陈后金,魏学业,彭亚辉,程琳.Mass classification inmammograms based on two-concentricmasks and discriminating texton.PatternRecognition,2016,60(2016)
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李艳凤,陈后金,Rohde,姚畅,程琳.Texton analysis for mass classification in mammograms.Pattern Recognition Letters,2015,无(52)
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李艳凤,陈后金,Yang,程琳,曹霖.A bilateral analysis scheme for false positive reduction in mammogram mass detection.Computers in Biology and Medicine,2015,2015(57)
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曹旭阳,陈后金,李艳凤,彭亚辉,周悦,程琳.Boundary Loss with Non-Euclidean Distance Constraint for ABUS Mass Segmentation.2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI),2020
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张林林,李艳凤,陈后金,程琳.Mammographic Mass Detection by Bilateral Analysis Based on Convolution Neural Network.ICIP,2019
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李艳凤,陈后金,张林林,程琳.Mammographic mass detection based on convolution neural network.2018 24th International Conference on Pattern Recognition (ICPR),2018
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