Výsledky vyhľadávania - "3D convolutional neural network"

Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network Autor Huang, Yechong, Xu, Jiahang, Zhou, Yuncheng, Tong, Tong, Zhuang, Xiahai

“…Alzheimer's disease (AD) is one of the most common neurodegenerative diseases. In the last decade, studies on AD diagnosis has attached great significance to…”
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A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification Autor Zhao, Xinqiao, Zhang, Hongmiao, Zhu, Guilin, You, Fengxiang, Kuang, Shaolong, Sun, Lining

“… convolutional neural network (3D CNN) and the corresponding classification strategy. The 3D representation is generated by transforming EEG signals into a sequence of 2D array which preserves spatial distribution of sampling electrodes…”
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Detection of Parkinson’s Disease from 3T T1 Weighted MRI Scans Using 3D Convolutional Neural Network Autor Chakraborty, Sabyasachi, Aich, Satyabrata, Kim, Hee-Cheol

“…Parkinson’s Disease is a neurodegenerative disease that affects the aging population and is caused by a progressive loss of dopaminergic neurons in the…”
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An end-to-end 3D convolutional neural network for decoding attentive mental state Autor Zhang, Yangsong, Cai, Huan, Nie, Li, Xu, Peng, Zhao, Sirui, Guan, Cuntai

“… detection task, and a 3D convolutional neural network model with cascade and parallel convolution operations was proposed…”
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Automated Diagnosis of Major Depressive Disorder using Brain Effective Connectivity and 3D Convolutional Neural Network Autor Khan, Danish M., Yahya, Norashikin, Kamel, Nidal, Faye, Ibrahima

“…Major depressive disorder (MDD), which is also known as unipolar depression, is one of the leading sources of functional frailty. MDD is mostly a chronic…”
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A 3D convolutional neural network to classify subjects as Alzheimer's disease, frontotemporal dementia or healthy controls using brain 18F-FDG PET Autor Rogeau, Antoine, Hives, Florent, Bordier, Cécile, Lahousse, Hélène, Roca, Vincent, Lebouvier, Thibaud, Pasquier, Florence, Huglo, Damien, Semah, Franck, Lopes, Renaud

“…•Visual interpretation of [18F]-FDG-PET scans remains challenging and with the advent of new treatments, accurate diagnosis is more important than ever.•A…”
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Construction of MRI-Based Alzheimer's Disease Score Based on Efficient 3D Convolutional Neural Network: Comprehensive Validation on 7,902 Images from a Multi-Center Dataset Autor Yee, Evangeline, Ma, Da, Popuri, Karteek, Wang, Lei, Beg, Mirza Faisal

“… Here, we propose a subject-level 3D CNN that can extract the neurodegenerative patterns of the whole brain MRI and converted into a probabilistic Dementia score…”
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Parametric cerebral blood flow and arterial transit time mapping using a 3D convolutional neural network Autor Kim, Donghoon, Lipford, Megan E., He, Hongjian, Ding, Qiuping, Ivanovic, Vladimir, Lockhart, Samuel N., Craft, Suzanne, Whitlow, Christopher T., Jung, Youngkyoo

“… (pCASL) by developing a hierarchically structured 3D convolutional neural network (H‐CNN) that estimates the arterial transit time…”
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Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network Autor Shen, Mingkan, Wen, Peng, Song, Bo, Li, Yan

“… A 3D convolutional neural network technique was applied to classify the ScZ subjects and health control (HC) subjects…”
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fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations Autor Vu, Hanh, Kim, Hyun-Chul, Jung, Minyoung, Lee, Jong-Hwan

“…Deep-learning methods based on deep neural networks (DNNs) have recently been successfully utilized in the analysis of neuroimaging data. A convolutional…”
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Segmentation of coronary calcifications with a domain knowledge-based lightweight 3D convolutional neural network Autor Santos, Rui, Castro, Rui, Baeza, Rúben, Nunes, Fábio, Filipe, Vítor M., Renna, Francesco, Paredes, Hugo, Fontes-Carvalho, Ricardo, Pedrosa, João

“… Manual segmentation of these calcifications is a time-consuming task, subject to variability…”
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Virtual Restoration of Ancient Mold-Damaged Painting Based on 3D Convolutional Neural Network for Hyperspectral Image Autor Wang, Sa, Cen, Yi, Qu, Liang, Li, Guanghua, Chen, Yao, Zhang, Lifu

“…Painted cultural relics hold significant historical value and are crucial in transmitting human culture. However, mold is a common issue for paper or…”
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Advanced brain age prediction using 3D convolutional neural network on structural MRI Autor Ahmadi, Babak, Morshedizad, Zohreh, Gahrooei, Mostafa Reisi, Babajani‐Feremi, Abbas

“… Method Utilizing T1‐weighted MRI images of n = 3,859 subjects (Table 1) from the CamCAN, NACC, and ADNI databases, this study aimed to predict brain age in four groups…”
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Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability Autor Opfer, Roland, Krüger, Julia, Spies, Lothar, Ostwaldt, Ann-Christin, Kitzler, Hagen H., Schippling, Sven, Buchert, Ralph

“… Accuracy was evaluated with 18 manually labeled expert masks. Intra- and inter-scanner test-retest stability were assessed with 477 T1w volumes of a single healthy subject scanned on 123 MRI scanners…”
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3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network Autor Shen, Mingkan, Wen, Peng, Song, Bo, Li, Yan

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Video Visual Relation Detection via 3D Convolutional Neural Network Autor Qu, Mingcheng, Cui, Jianxun, Su, Tonghua, Deng, Ganlin, Shao, Wenkai

“… Moreover, we propose a novel spatio-temporal feature extraction framework with 3D Convolutional Neural Networks (ST3DCNN…”
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A Robust 3D-Convolutional Neural Network-Based Electroencephalogram Decoding Model for the Intra-Individual Difference Autor Li, Mengfan, Wu, Lingyu, Xu, Guizhi, Duan, Feng, Zhu, Chi

“… Ten subjects participated in a cross-time task for 6 or 12[Formula: see text]h. The 3D-CNN shows…”
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Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network Autor Rudie, Jeffrey D., Weiss, David A., Saluja, Rachit, Rauschecker, Andreas M., Wang, Jiancong, Sugrue, Leo, Bakas, Spyridon, Colby, John B.

“…An important challenge in segmenting real-world biomedical imaging data is the presence of multiple disease processes within individual subjects…”
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S152. DIAGNOSTIC CLASSIFICATION OF SCHIZOPHRENIA USING 3D CONVOLUTIONAL NEURAL NETWORK WITH RESTING-STATE FUNCTIONAL MRI Autor Kim, Harin, Woo Joo, Sung, Ho Joo, Yeon, Lee, Jungsun

“… Compared to other ML methods, the 3D convolutional neural network (CNN) has an advantage of learning complex and subtle patterns in data and preserving spatial information, which is a more suitable tool for brain imaging data…”
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A spatial-frequency-temporal 3D convolutional neural network for motor imagery EEG signal classification Autor Miao, Minmin, Hu, Wenjun, Zhang, Wenbin

“…Motor imagery (MI) EEG signal classification is a critical issue for brain–computer interface (BCI) systems. In traditional MI EEG machine learning algorithms,…”
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