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彭琬茹,陈后金,李艳凤,孙嘉.Multi‑source domain generalization peron re‑identifcation with knowledge accumulation and distribution enhancement.Applied Intelligence,2024,54(无)
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毛沄涛,陈紫微,刘思源,李艳凤.Unveiling the potential: Exploring the predictability of complex exchange rate trends.Engineering Applications of Artificial Intelligence,2024,2024(Volume 133)
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彭琬茹,陈后金,李艳凤,孙嘉.Invariance Learning Under Uncertainty for Single Domain Generalization Person Re-Identification.IEEE Transactions on Instrumentation and Measurement,2024,无(73)
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周涛,李艳凤,刘留,向左维,王宇.“深度学习”课程思政建设的实践探索.工业与信息化教育,2024,3(2024)
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李艳凤,程展艺,孙嘉,陈后金,潘盼,任怡涵.Multi-domain consistency constraint model for semi-supervised lesion segmentation in automatic breast ultrasound (ABUS).Biomedical Signal Processing and Control,2024,98(无)
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李晓玲,李艳凤,陈后金,孙嘉,王敏鋆,陈卢一夫.WTFusion: Wavelet-Assisted Transformer Network for Multisensor Image Fusion.IEEE SENSORS JOURNAL,2024,24(22)
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潘盼,陈后金,李艳凤,彭琬茹,程林.Attention decoupled contrastive learning for semi-supervised segmentation method based on data augmentation.Physics in Medicine & Biology,2024,69(无)
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姚旭,陈后金,李艳凤,孙嘉,韦佳宇.Lightweight image super‑resolution based on stepwise feedback mechanism and multi‑feature maps fusion.Multimedia Systems,2024,30(39)
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李艳凤,任怡涵,程展艺,孙嘉,潘盼,陈后金.Automatic breast ultrasound (ABUS) tumor segmentation based on global and local feature fusion.Physics in Medicine & Biology,2024,69(11)
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潘盼,李艳凤,陈后金,孙嘉,李晓玲,程林.ABUS tumor segmentation via decouple contrastive knowledge distillation.Physics in Medicine & Biology,2024,69(1)
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邬雯倩,陈后金,李艳凤,陈紫微,孙嘉.ESFFM: An Electromagnetic Scattering Feature Fusion Model for SAR Automatic Target Recognition.IEEE SENSORS JOURNAL,2024,无(无)
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周姿能,张钊,陈泽贤,李艳凤.Improving Person Re-identification by Rich Feature Discovery with Self-guided Network.Lecture Notes on Data Engineering and Communications Technologies,2022,None(80)
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李晓玲,陈后金,李艳凤,孙嘉,王敏鋆,陈卢一夫.基于多重关系感知的红外与可见光图像融合网络.电子与信息学报,2024,无(无)
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陶丹,陈后金,李艳凤,熊菲,李居朋.新工科背景下突出“三化”内涵的信息工程专业培养方案实践.中国现代教育装备,2024,431(0)
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潘盼,陈后金,李艳凤,李家忻,程展艺,王舒.Dual Teacher Model for Semi-supervised ABUS Tumor Segmentation.Biomedical Signal Processing and Control,2024,87(105514)
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孙嘉,李艳凤,陈卢一夫,陈后金,彭琬茹.Multiple integration model for single-source domain generalizable person re-identificatior.Journal of Visual Communication and lmage Representation,2023,98(104037)
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李晓玲,李艳凤,陈后金,彭亚辉,陈卢一夫,王敏鋆.RITFusion: Reinforced Interactive Transformer Network for Infrared and Visible Image Fusion.IEEE Transactions on Instrumentation and Measurement,2023,无(无)
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朱锦雷,李艳凤,陈后金,孙嘉,潘盼.近邻优化跨域无监督行人重识别算法.中国图象图形学报,2023,11(28)
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陶丹,陈后金,张振江,李艳凤,黄琳琳.基于“四通模式”的信息工程专业培养方案修订.中国现代教育装备,2023,417(0)
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李晓玲,陈后金,李艳凤,彭亚辉.Multi-focus image fusion via adaptive fractional differential and guided filtering.Multimedia Tools and Applications,2023,无(无)
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石瑞姣,陈后金,李居朋,李艳凤,李丰,万成凯.基于注意力和多级特征融合的铁路场景小尺度行人检测算法.铁道学报,2022,5(44)
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周沛,李艳凤,陈后金,彭亚辉.Coco-Attention for Tumor Segmentation in Weakly Paired Multimodal MRI Images.IEEE Journal of Biomedical and Health Informatics,2023,None(27)
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彭琬茹,陈后金,李艳凤,孙嘉.MCFR: multi-confidence contrastive learning with feature refined for unsupervised person re-identification.VISUAL COMPUTER,2023,None(None)
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李艳凤,张子璐,程展艺,程琳,陈新.Semi-supervised learning for ABUS tumor detection using deep learning method.IET IMAGE PROCESSING,2023,None(None)
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李晓玲,李艳凤,陈后金,彭亚辉,潘盼.CCAFusion: Cross-modal Coordinate Attention Network for Infrared and Visible Image Fusion.IEEE Transactions on Circuits and Systems for Video Technology,2023,无(无)
-
李艳凤,朱晓迪,孙嘉,陈后金,李致远.Unsupervised person re-identification based on high-quality pseudo labels.Applied Intelligence,2023,12(53)
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李艳凤,陈后金,陶丹,黄琳琳.数字信号处理课程思政教学探索.科教导刊,2022,6(None)
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李艳凤,陈后金,彭亚辉,陶丹,李居朋.“信号与系统”课程思政教学案例的探索与实践.电气电子教学学报,2022,4(44)
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陈后金,李艳凤,陶丹.思政铸魂的信号处理系列课程教学内涵改革.中国大学教学,2022,06(无)
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李艳凤,陈后金,陶丹,黄琳琳.数字信号处理课程思政教学探索.科教导刊,2022,06(无)
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李艳凤,陈后金.深度学习课程研究性实验教学设计.教育教学论坛,2021,19(None)
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蔡纳新,陈后金,李艳凤,彭亚辉,Guo.Registration on DCE-MRI images via multi-domain image-to-image translation.Computerized Medical Imaging and Graphics,2023,无(104)
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孙嘉,李艳凤,陈后金,彭亚辉,朱锦雷.Visible-infrared person re-identification model based on feature consistency and modal indistinguishability.Machine Vision and Applications,2023,1(34)
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张又,陈后金,李艳凤,周俊琦.ImDeeplabV3plus with instance selective whitening loss in domain generalization semantic segmentation.IET Intelligent Transport Systems,2022,2022(无)
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薛盼,陈后金,李艳凤,李居朋.Multi-scale pedestrian detection with global–local attention and multi-scale receptive field context.IET Computer Vision,2022,无(无)
-
周沛,陈后金,李艳凤,彭亚辉.Unpaired multi-modal tumor segmentation with structure adaptation.Applied Intelligence,2022,3(32)
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王鑫慧,李新春,陈后金,彭亚辉,李艳凤.Pulmonary MRI Radiomics and Machine Learning: Effect of Intralesional Heterogeneity on Classification of Lesion.Academic Radiology,2022,2(29)
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曹旭阳,陈后金,李艳凤,彭亚辉,周悦,程琳,Liu,沈定刚.Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound.Medical Image Analysis,2022,无(82)
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周悦,陈后金,李艳凤,曹旭阳,王舒,沈定刚.Cross-model attention-guided tumor segmentation for 3D automated breast ultrasound (ABUS) images.IEEE Journal of Biomedical and Health Informatics,2022,1(26)
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李晓玲,陈后金,李艳凤,彭亚辉.MAFusion: Multiscale Attention Network for Infrared and Visible Image Fusion.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022,无(71)
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孙嘉,李艳凤,陈后金,朱晓迪,彭亚辉.Inter-cluster and intra-cluster joint optimization for unsupervised cross-domain person re-identification.Knowledge-Based Systems,2022,无(251)
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程展艺,李艳凤,陈后金,张子璐,潘盼,程琳.DSGMFFN: Deepest semantically guided multi-scale feature fusion network for automated lesion segmentation in ABUS images.Computer Methods and Programs in Biomedicine,2022,2022(221)
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张林林,李艳凤,陈后金,吴文,Chen,Wang.Anchor-free YOLOv3 for mass detection in mammogram.Expert Systems With Applications,2022,无(191)
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李家忻,陈后金,李艳凤,彭亚辉,孙嘉,潘盼.Cross-modality synthesis aiding lung tumor segmentation on multi-modal MRI images.Biomedical Signal Processing and Control,2022,无(76)
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李家忻,陈后金,彭亚辉,李艳凤.基于跨模态空间匹配的多模态肺部肿块分割网络.电子与信息学报,2022,1(44)
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周悦,陈后金,李艳凤,王舒,程琳,李居朋.3D multi-view tumor detection in automated whole breast ultrasound using deep convolutional neural network.EXPERT SYSTEMS WITH APPLICATIONS,2021,None(168)
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潘盼,陈后金,李艳凤,蔡纳新,程琳,王舒.Tumor segmentation in automated whole breast ultrasound using bidirectional LSTM neural network and attention mechanism.ULTRASONICS,2021,None(110)
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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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刘留,胡健,李艳凤,薛健,陈后金.利用DFT在分析信号调制时频率泄漏的讨论.教育教学论坛,2020,21(21)
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刘留,胡健,李艳凤,薛健,陈后金.利用DFT在分析信号调制时频率泄漏的讨论.教育教学论坛,2020,21(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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李瑞菁,陈后金,彭亚辉,李居朋,李艳凤.Sitting or Standing Data Acquisition Based Breast Ultrasound Computed Tomography.Chinese Journal of Electronics,2021,5(30)
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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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李瑞菁,陈后金,彭亚辉,李居朋,李艳凤.Ultrasound Computed Tomography of Knee Joint.Chinese Journal of Electronics,2020,4(29)
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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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周涛,胡健,李艳凤,刘留,陶丹,陈后金.“金课”建设背景下的“信号与系统”研究性教学载体设计.实验技术与管理,2020,11(37)
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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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吕文超,李艳凤,彭亚辉,李居朋,陈后金.Multimodal Registration of Chest MRI Images Based on Structure Compensation.Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,2019,3(31)
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李艳凤,黄琳琳,陈后金,胡健.数字信号处理“听音识曲系统”综合实验设计.信息通信,2019,11(0)
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于翠如,陈后金,李艳凤,彭亚辉,李居朋,杨帆.Breast cancer classification in pathological images based on hybrid features.MULTIMEDIA TOOLS AND APPLICATIONS,2019,15(78)
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李艳凤,黄琳琳,陈后金,胡健.数字信号处理“听音识曲系统”综合实验设计.信息通信,2019,11(无)
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李艳凤,陈后金,黄琳琳.新时代背景下的数字信号处理课程改革.教育教学论坛,2020,22(无)
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周沛,陈后金,于泽宽,彭亚辉,李艳凤,杨帆.跨模态医学图像预测综述.电子学报,2019,1(47)
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彭亚辉,曹旭阳,陈后金,李艳凤,李居朋,王贤刚.三结构各向同性包覆燃料颗粒相衬CT图像的噪声和伪像抑制方法初探.电子学报,2019,2(47)
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陶丹,胡健,李艳凤,薛健,黄琳琳,陈后金.信号处理系列课程新形态教材建设.教育教学论坛,2019,49(0)
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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,无(7)
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黄琳琳,陶丹,胡健,薛健,李艳凤,陈后金.“数字信号处理”全英文教学实践与思考.教育教学论坛,2019,47(11)
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吕文超,李艳凤,彭亚辉,李居朋,陈后金.胸部多模MRI图像的结构补偿配准方法.计算机辅助设计与图形学学报,2019,3(31)
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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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于翠如,陈后金,李艳凤,彭亚辉,李居朋,杨帆.Breast cancer classification in pathological images based on hybrid features.Multimedia Tools and Applications,2019,1(1)
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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.IIR数字滤波器设计中频率转换探究.电气电子教学学报,2018,3(40)
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李艳凤,陈后金,胡健.浅析FFT算法中对称关系.电气电子教学学报,2017,5(39)
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魏杰,曹旭阳,陈后金,李艳凤.乳腺X线图像肿块分类方法研究.北京交通大学学报,2017,5(41卷)
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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,曹霖,马津源.A Survey of Computer-aided Detection of Breast Cancer with Mammography.Journal of Health & Medical Informatics,2016,4(7)
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陈后金,李艳凤,彭亚辉.多视角乳腺!线图像匹配方法综述.数据采集与处理,2016,5(31)
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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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韩振中,陈后金,李艳凤,李居朋,姚畅,程琳.基于SPCNN与改进型矢量CV模型的乳腺X射线肿块分割方法.物理学报,2014,7(63)
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张胜君,陈后金,李艳凤,姚畅,程琳.乳腺X线图像结构扭曲检测的研究.自动化学报,2014,8(40)
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郝超凡,李艳凤,孙嘉,陈后金.MFEN: Multi-scale Feature Expansion Network for Visible-Infrared Person Re-Identification.2024 International Conference on Computer Vision and Deep Learning,2024
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潘盼,李艳凤,陈后金,赵旭之,陈卢一夫,张翀.Gaussian_Transformer_and_CNN_Segmentation_Method_Based_on_Contrastive_Learning_of_Boundary.International Conference on Image, Vision and Computing,2023
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周俊琦,李艳凤,陈后金.Learning Spatial and Geometric Information for Robust Features.2023 3rd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2023,2023
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游宇豪,陈后金,李艳凤,王敏鋆,朱锦雷.Small-scale pedestrian detection method based on attention mechanism and adaptive feature fusion.Journal of Physics: Conference Series,2021
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王燕磊,陈后金,李艳凤.DM-YOLOv5 for ABUS Detection.2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML),2023
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孙嘉,李艳凤,陈后金,彭亚辉.A sample diversity and identity consistency based cross-modality model for visible-infrared person reidentification.Fourteenth International Conference on Digital Image Processing (ICDIP 2022),2022
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孙嘉,李艳凤,陈后金,彭亚辉.A PERSON RE-IDENTIFICATION BASELINE BASED ON ATTENTION BLOCK NEURAL ARCHITECTURE SEARCH.IEEE International Conference on Image Processing,2022
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游宇豪,陈后金,李艳凤,王敏鋆,朱锦雷.Small-scale Pedestrian Detection Method based on Attention Mechanism and Adaptive Feature Fusion.2021 International Conference on Advanced Algorithms and Signal Image Processing（AASIP 2021）,2021
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李家忻,陈后金,李艳凤,彭亚辉.A Novel Network Based on Densely Connected Fully Convolutional Networks for Segmentation of Lung Tumors on Multi-Modal MR Images.2019 International Conference on Artificial Intelligence and Advanced Manufacturing,2019
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孙嘉,李艳凤,陈后金,李居朋,李峰.Pedestrian Detection Based on Depth Information.12th International Conference on Machine Learning and Computing,2020
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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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王鑫慧,陈后金,李艳凤,晏晨,彭亚辉,李新春.Improving the diagnosis of lung cancer based on multiparametric MRI.ELEVENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2019),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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蔡纳新,陈后金,李艳凤,彭亚辉.Intrusion Detection and Tracking at Railway Crossing.Artificial Intelligence and Advanced Manufacturing,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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王传刚,李富强,李艳凤,陈后金,曹旭阳.A Defect Status Detecting Method for External Gear in Railway.2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC),2018
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王传刚,李富强,李艳凤,陈后金,曹旭阳.A Defect Status Detecting Method for External Gear in Railway.2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC),2018
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李艳凤,陈后金,魏学业.An Automated Lung Parenchyma Segmentation Method for 3D Thoracic MR Images. International Conference on Software Engineering and Information System (SEIS),2015
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