Search Results - "Yu, Renping"
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ACDF-YOLO: Attentive and Cross-Differential Fusion Network for Multimodal Remote Sensing Object Detection
Published in Remote sensing (Basel, Switzerland) (01-09-2024)“…Object detection in remote sensing images has received significant attention for a wide range of applications. However, traditional unimodal remote sensing…”
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Temporal-spatial dynamic functional connectivity analysis in schizophrenia classification
Published in Frontiers in neuroscience (17-08-2022)“…With the development of resting-state functional magnetic resonance imaging (rs-fMRI) technology, the functional connectivity network (FCN) which reflects the…”
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Microstructure and thermal shock resistance of Nd2O3-doped YSZ-based thermal barrier coatings
Published in Ceramics international (01-12-2020)“…To study the impact of rare earth oxide doping on the thermal failure of thermal barrier coatings, 0.5 mol%, 1.0 mol% and 1.5 mol% Nd2O3-doped YSZ coatings…”
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Total Variation Regularized Low-Rank Model With Directional Information for Hyperspectral Image Restoration
Published in IEEE access (2021)“…Hyperspectral images (HSIs) are unavoidably polluted by various kinds of noise, which decrease the potential of subsequent processes in HSIs applications. Due…”
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Coarse Classification to Region-Scalable Refining for White Matter Lesions Segmentation in Multi-Channel MRI
Published in CNS & neurological disorders drug targets (01-01-2017)“…Brain lesions, especially White Matter Lesions (WMLs) that mostly found on magnetic resonance images of elderly people, are not only associated with normal…”
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Black phosphorus@Au NPs decorated on a porous spherical montmorillonite as a self-sedimentary catalyst for cost-effective and efficient catalysis
Published in Applied surface science (01-12-2022)“…[Display omitted] •A black phosphorus@Au NPs supported by spherical montmorillonite was fabricated.•The catalyst showed an efficient catalytic activity towards…”
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Weighted graph regularized sparse brain network construction for MCI identification
Published in Pattern recognition (01-06-2019)“…•Integrate the data similarity and locality to sparse modeling of brain functional network.•A unified framework integrates intrinsic correlation, local…”
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Connectivity strength‐weighted sparse group representation‐based brain network construction for MCI classification
Published in Human brain mapping (01-05-2017)“…Brain functional network analysis has shown great potential in understanding brain functions and also in identifying biomarkers for brain diseases, such as…”
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Sparsity‐guided multiple functional connectivity patterns for classification of schizophrenia via convolutional network
Published in Human brain mapping (15-08-2023)“…The explorations of brain functional connectivity network (FCN) using resting‐state functional magnetic resonance imaging can provide crucial insights into…”
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Multi-Graph Attention Networks with Bilinear Convolution for Diagnosis of Schizophrenia
Published in IEEE journal of biomedical and health informatics (01-03-2023)“…The explorations of brain functional connectivity (FC) network using resting-state functional magnetic resonance imaging (rs-fMRI) can provide crucial insights…”
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A toolbox for brain network construction and classification (BrainNetClass)
Published in Human brain mapping (01-07-2020)“…Brain functional network has been increasingly used in understanding brain functions and diseases. While many network construction methods have been proposed,…”
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An EEG Study on [Formula Omitted] Phase-Amplitude Coupling-Based Functional Brain Network in Epilepsy Patients
Published in IEEE journal of biomedical and health informatics (01-11-2024)“…Epilepsy, a chronic neuropsychiatric brain disorder characterized with recurrent seizures, is closely associated with abnormal neural communications within the…”
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Insights on the role of external globus pallidus in controlling absence seizures
Published in Neural networks (01-03-2021)“…Absence epilepsy, characterized by transient loss of awareness and bilaterally synchronous 2–4 Hz spike and wave discharges (SWDs) on electroencephalography…”
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Localizing the seizure onset zone and predicting the surgery outcomes in patients with drug-resistant epilepsy: A new approach based on the causal network
Published in Computer methods and programs in biomedicine (01-01-2025)“…Accurate localization of the seizure onset zone (SOZ) is crucial for surgical treatment in patients with drug-resistant epilepsy (DRE). However, clinical…”
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An EEG Study on \boldsymbol Phase-Amplitude Coupling-Based Functional Brain Network in Epilepsy Patients
Published in IEEE journal of biomedical and health informatics (01-06-2024)“…Epilepsy, a chronic neuropsychiatric brain disorder characterized with recurrent seizures, is closely associated with abnormal neural communications within the…”
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An EEG Study on β-γ Phase-Amplitude Coupling-Based Functional Brain Network in Epilepsy Patients
Published in IEEE journal of biomedical and health informatics (01-06-2024)“…Epilepsy, a chronic neuropsychiatric brain disorder characterized with recurrent seizures, is closely associated with abnormal neural communications within the…”
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Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification
Published in Computers in biology and medicine (01-05-2024)“…Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that requires objective and accurate identification methods for effective early intervention…”
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Research on brain network for schizophrenia classification based on resting-state functional magnetic resonance imaging
Published in Sheng wu yi xue gong cheng xue za zhi (25-08-2020)“…How to extract high discriminative features that help classification from complex resting-state fMRI (rs-fMRI) data is the key to improving the accuracy of…”
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Vagus nerve stimulation modulating the directed brain network of patients with drug-resistant epilepsy
Published in Biomedical signal processing and control (01-09-2024)“…Vagus nerve stimulation (VNS) has been suggested to be an effective method for regulating seizures in patients with drug-resistant epilepsy. This study aims to…”
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