Výsledky vyhľadávania - "convolutional neural network-based approach"

A Fully-Automatic Segmentation of the Carpal Tunnel from Magnetic Resonance Images Based on the Convolutional Neural Network-Based Approach Autor Yang, Tai-Hua, Yang, Cheng-Wei, Sun, Yung-Nien, Horng, Ming-Huwi

“…Purpose Carpal tunnel syndrome is one of the common peripheral neuropathies. For magnetic resonance imaging, segmentation of the carpal tunnel and its…”
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A Deep Convolutional Neural Networks based approach for Alzheimer's disease and Mild Cognitive Impairment classification using Brain Images Autor Hazarika, Ruhul Amin, Kandar, Debdatta, Maji, Arnab Kumar

“… Since brain is the most impacted region, the disorders can be classified by analyzing factors from brain tissues in different subjects. Machine Learning (ML…”
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TractSeg - Fast and accurate white matter tract segmentation Autor Wasserthal, Jakob, Neher, Peter, Maier-Hein, Klaus H.

“… up. TractSeg is a novel convolutional neural network-based approach that directly segments tracts in the field of fiber orientation distribution function (fODF…”
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Using a Large Margin Context-Aware Convolutional Neural Network to Automatically Extract Disease-Disease Association from Literature: Comparative Analytic Study Autor Lai, Po-Ting, Lu, Wei-Liang, Kuo, Ting-Rung, Chung, Chia-Ru, Han, Jen-Chieh, Tsai, Richard Tzong-Han, Horng, Jorng-Tzong

“…Research on disease-disease association (DDA), like comorbidity and complication, provides important insights into disease treatment and drug discovery, and a…”
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Individualized Learning-Based Ground Reaction Force Estimation in People Post-Stroke Using Pressure Insoles Autor Bergamo, Gregoire, Swaminathan, Krithika, Kim, Daekyum, Chin, Andrew, Siviy, Christopher, Novillo, Ignacio, Baker, Teresa C., Wendel, Nicholas, Ellis, Terry D., Walsh, Conor J.

“… Here, we evaluate three subject…”
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Augmented convolutional feature maps for robust CNN-based camera model identification Autor Bayar, Belhassen, Stamm, Matthew C.

“… In this paper, we propose a new convolutional neural network based approach to performing camera model identification that is robust to resampling and recompression…”
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Cross-Dataset Emotion Valence Prediction Approach from 4-Channel EEG: CNN Model and Multi-Modal Evaluation Autor Romaniuk, Vladimir, Kashevnik, Alexey

“…–computer interaction, affective computing, and mental health assessment. This study presents a convolutional neural network-based approach to emotion valence prediction…”
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EEG Headband-Based Emotion Valence Prediction Approach: CNN Model and Evaluation Autor Romaniuk, Vladimir, Kashevnik, Alexey

“… This study presents a convolutional neural network-based approach to emotion valence prediction model development using 4-channel headband EEG data as well as its evaluation based on computer vision…”
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TractSeg - Fast and accurate white matter tract segmentation Autor Wasserthal, Jakob, Neher, Peter, Maier-Hein, Klaus H

“… TractSeg is a novel convolutional neural network-based approach that directly segments tracts in the field of fiber orientation distribution function (fODF…”
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AttentioNet: Monitoring Student Attention Type in Learning with EEG-Based Measurement System Autor Verma, Dhruv, Bhalla, Sejal, Sai Santosh, S V, Yadav, Saumya, Parnami, Aman, Shukla, Jainendra

“… However, most existing methods to classify attention fail to model its complex nature. To bridge this gap, we propose AttentioNet, a novel Convolutional Neural Network-based approach that utilizes Electroencephalography (EEG…”
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Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU Autor Kazemi, Kianoosh, Azimi, Iman, Liljeberg, Pasi, Rahmani, Amir M

“… In this paper, we propose a convolutional neural network-based approach to extract…”
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Segmentation of glioma tumors in brain using deep convolutional neural network Autor Hussain, Saddam, Anwar, Syed Muhammad, Majid, Muhammad

“…•Five different deep convolutional neural network based approaches are proposed.•Results are evaluated on BRATS 2013 and BRATS 2015 for brain tumor segmentation…”
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Autonomous Human Activity Classification From Wearable Multi-Modal Sensors Autor Lu, Yantao, Velipasalar, Senem

“…, but it cannot be determined whether the subject has sat on a chair or a sofa, or where the subject is. To perform fine-grained activity classification, and to distinguish…”
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Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning Autor Houshmand, Bita, Mefraz Khan, Naimul

“… To automatically infer facial expressions, convolutional neural network based approaches has become widely adopted due to their proven applicability to Facial Expression Recognition (FER…”
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Face Frontalization for Cross-Pose Facial Expression Recognition Autor Engin, Deniz, Ecabert, Christophe, Ekenel, Hazim Kemal, Thiran, Jean-Philippe

“… To evaluate the impact of face frontalization on facial expression recognition performance, we have conducted cross-pose, subject-independent expression recognition experiments using the BU3DFE database…”
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Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning Autor Houshmand, Bita, Khan, Naimul

“… To automatically infer facial expressions, convolutional neural network based approaches has become widely adopted due to their proven applicability to Facial Expression Recognition (FER…”
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Autonomous Human Activity Classification from Ego-vision Camera and Accelerometer Data Autor Lu, Yantao, Velipasalar, Senem

“… detected. For instance, the sitting activity can be detected by IMU data, but it cannot be determined whether the subject has sat on a chair or a sofa, or where the subject…”
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