NSTL国家科技图书文献中心

1. Progress of Intelligent Diagnosis via Multiple Brain Features in Alzheimer's Disease NSTL国家科技图书文献中心

Yanling Yang | Xufeng Yao ... - 《Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Dianosis: Medical Imaging and Computer-Aided Diagnosis: 4th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023), 9-10 December 2023, Cambridge, UK》 - International Conference on Medical Imaging and Computer-Aided Diagnosis - 2024, - 215～225 - 共11页

摘要：Alzheimer's disease (AD) is a neurodegenerative disease with unknown pathogenesis that manifests with a common type of dementia. With a persistent increase in the aging population worldwide, AD has be...

关键词： AD | AI | Alzheimer's disease | artificial intelligence | brain features | ID | intelligent diagnosis

2. A Pilot Genome-Wide Association Study of Brain Glucose Metabolism Levels in Alzheimer's Disease Based on ~(18)F-FDG PET NSTL国家科技图书文献中心

Hanni Jiang | Xufeng Yao ... - 《Proceedings of International Conference on Image, Vision and Intelligent Systems: 3rd International Conference on Image, Vision and Intelligent Systems (ICIVIS 2023), 16-18 August 2023, Baoding, China》 - International Conference on Image, Vision and Intelligent Systems - 2024, - 549～556 - 共8页

摘要：~(18)F-fluorodeoxyglucose positron emission tomography (~(18)F-FDG PET) could detect glucose metabolism in various brain regions and reflect brain neuronal activity. For Alzheimer's disease (AD), decr...

关键词： Alzheimer's disease | ~(18)F-FDG PET | genome-wide association study

3. Brain State Classification Based on Magnetoencephalography via Hybrid Linear-Dot Attention Mechanisms NSTL国家科技图书文献中心

Helong Zhao | Yanling Yang ... - 《2024 20th International Conference on Natural Computation,Fuzzy Systems and Knowledge Discovery》 - International Conference on Natural Computation,Fuzzy Systems and Knowledge Discovery - 2024, - 1～5 - 共5页

摘要：The decoding of specific task activity patterns embedded in magnetoencephalography (MEG) is crucial for understanding brain function. As a kind of useful neuroimaging technology, MEG decoding plays a ...

关键词： Neuroimaging | Attention mechanisms | Accuracy | Magnetoencephalography | Brain modeling | Knowledge discovery | Data models | Hybrid power systems | Decoding | Optimization

4. Evaluation of Brain Network Changes for Normal Brain Aging by the Resting-State Functional Connectivity NSTL国家科技图书文献中心

Yulei Zhang | Xufeng Yao ... - 《Proceedings of International Conference on Image, Vision and Intelligent Systems: 3rd International Conference on Image, Vision and Intelligent Systems (ICIVIS 2023), 16-18 August 2023, Baoding, China》 - International Conference on Image, Vision and Intelligent Systems - 2024, - 573～579 - 共7页

摘要：Studying the resting-state functional connectivity of healthy adults at various ages can offer insight into the natural aging of the brain and identify underlying factors that may contribute to neuroc...

关键词： Resting-state Functional Magnetic Resonance Imaging | Brain Aging | Brain Network

5. Research on Brain Age Prediction Based on Dual-Pathway 3D ResNet NSTL国家科技图书文献中心

Di Li | Xufeng Yao ... - 《Proceedings of International Conference on Image, Vision and Intelligent Systems: 3rd International Conference on Image, Vision and Intelligent Systems (ICIVIS 2023), 16-18 August 2023, Baoding, China》 - International Conference on Image, Vision and Intelligent Systems - 2024, - 565～572 - 共8页

摘要：Brain aging is a complex process, while its mechanism remains unknown. Due to the accuracy and high reliability of brain age as a phenotype, which can be used to track the trajectory of human brain ag...

关键词： Dual Pathway ResNet | Stmctural Magnetic Resonance Imaging | Brain Age Prediction

6. Classification of Alzheimer's Disease via Deep Residual Network NSTL国家科技图书文献中心

Cheng Shi | Xufeng Yao ... - 《Proceedings of International Conference on Image, Vision and Intelligent Systems: 3rd International Conference on Image, Vision and Intelligent Systems (ICIVIS 2023), 16-18 August 2023, Baoding, China》 - International Conference on Image, Vision and Intelligent Systems - 2024, - 557～564 - 共8页

摘要：Alzheimer's Disease (AD) is a typical neuro-degenerative illness. Numerous studies have discovered that the development of AD could produce obvious changes in brain structure and cerebrospinal fluid (...

关键词： Alzheimer's Disease | Deep Residual Networks | Multimodal Joint Features

7. Emotion Recognition Classification with Differential Entropy and Power Spectral Density Features NSTL国家科技图书文献中心

Yishen Lu | Xufeng Yao ... - 《Proceedings of International Conference on Image, Vision and Intelligent Systems: 3rd International Conference on Image, Vision and Intelligent Systems (ICIVIS 2023), 16-18 August 2023, Baoding, China》 - International Conference on Image, Vision and Intelligent Systems - 2024, - 541～548 - 共8页

摘要：Feature selection is crucial for emotion recognition using machine learning algorithms. This has been extensively applied in various domains. This study utilized Electroencephalography (EEG) signals o...

关键词： Electroencephalography | Machine Learning | Emotion Recognition

8. Machine Learning of Brain Functional Network Characteristics for AD Classification NSTL国家科技图书文献中心

Wenjie Wang | Xia Xu ... - 《Proceedings of International Conference on Image, Vision and Intelligent Systems: 3rd International Conference on Image, Vision and Intelligent Systems (ICIVIS 2023), 16-18 August 2023, Baoding, China》 - International Conference on Image, Vision and Intelligent Systems - 2024, - 590～599 - 共10页

摘要：Machine learning (ML) approaches have been employed to explore the feasibility of brain functional network characteristics as biomarkers, and the performance of MLs still needed to be verified. In our...

关键词： Brain functional network characteristics | Classification | Alzheimer's disease

9. Multi-disease Detection and Segmentation of Chest CT Images Based on Coarse-to-Fine Pipeline Models NSTL国家科技图书文献中心

Zhixian Tang | Jinyang Zhang ... - 《Proceedings of International Conference on Image, Vision and Intelligent Systems: 3rd International Conference on Image, Vision and Intelligent Systems (ICIVIS 2023), 16-18 August 2023, Baoding, China》 - International Conference on Image, Vision and Intelligent Systems - 2024, - 61～70 - 共10页

摘要：Accurate detection and segmentation of lung diseases are crucial for early diagnosis and treatment. In this study, we propose a multi-disease detection and segmentation method that utilizes a coarse-t...

关键词： Deep Learning | Lung Diseases | Automated Diagnosis | Pneumonia | Pneumothorax

10. Machine Learning Classification of Alzheimer's Disease Using Joint Features of Diffusion Tensor Imaging and Clinical Scales NSTL国家科技图书文献中心

Zhe Ren | Xufeng Yao ... - 《Proceedings of International Conference on Image, Vision and Intelligent Systems, Set 1: 2nd International Conference on Image, Vision and Intelligent Systems (ICIVIS 2022), August 15-17, 2022, Jinan, China》 - International Conference on Image, Vision and Intelligent Systems - 2023, - 320～327 - 共8页

摘要：The computer-aided diagnosis techniques have been widely applied in the Alzheimer's disease (AD) classification, especially machine learning algorithms. And the selection of features acts on the AD cl...

摘要：Alzheimer's disease (AD) is a neurodegenerative disease with unknown pathogenesis that manifests with a common type of dementia. With a persistent increase in the aging population worldwide, AD has be...

关键词： AD | AI | Alzheimer's disease | artificial intelligence | brain features | ID | intelligent diagnosis

摘要：~(18)F-fluorodeoxyglucose positron emission tomography (~(18)F-FDG PET) could detect glucose metabolism in various brain regions and reflect brain neuronal activity. For Alzheimer's disease (AD), decr...

关键词： Alzheimer's disease | ~(18)F-FDG PET | genome-wide association study

摘要：The decoding of specific task activity patterns embedded in magnetoencephalography (MEG) is crucial for understanding brain function. As a kind of useful neuroimaging technology, MEG decoding plays a ...

关键词： Neuroimaging | Attention mechanisms | Accuracy | Magnetoencephalography | Brain modeling | Knowledge discovery | Data models | Hybrid power systems | Decoding | Optimization

摘要：Studying the resting-state functional connectivity of healthy adults at various ages can offer insight into the natural aging of the brain and identify underlying factors that may contribute to neuroc...

关键词： Resting-state Functional Magnetic Resonance Imaging | Brain Aging | Brain Network

摘要：Brain aging is a complex process, while its mechanism remains unknown. Due to the accuracy and high reliability of brain age as a phenotype, which can be used to track the trajectory of human brain ag...

关键词： Dual Pathway ResNet | Stmctural Magnetic Resonance Imaging | Brain Age Prediction

摘要：Alzheimer's Disease (AD) is a typical neuro-degenerative illness. Numerous studies have discovered that the development of AD could produce obvious changes in brain structure and cerebrospinal fluid (...

关键词： Alzheimer's Disease | Deep Residual Networks | Multimodal Joint Features

摘要：Feature selection is crucial for emotion recognition using machine learning algorithms. This has been extensively applied in various domains. This study utilized Electroencephalography (EEG) signals o...

关键词： Electroencephalography | Machine Learning | Emotion Recognition

摘要：Machine learning (ML) approaches have been employed to explore the feasibility of brain functional network characteristics as biomarkers, and the performance of MLs still needed to be verified. In our...

关键词： Brain functional network characteristics | Classification | Alzheimer's disease

摘要：Accurate detection and segmentation of lung diseases are crucial for early diagnosis and treatment. In this study, we propose a multi-disease detection and segmentation method that utilizes a coarse-t...

关键词： Deep Learning | Lung Diseases | Automated Diagnosis | Pneumonia | Pneumothorax

摘要：The computer-aided diagnosis techniques have been widely applied in the Alzheimer's disease (AD) classification, especially machine learning algorithms. And the selection of features acts on the AD cl...

关键词： Alzheimer's disease | Machine learning | Classification | Diffusion tensor imaging | Clinical scales

4008-161-200 800-990-8900

国家科技图书文献中心