Suchergebnisse - "encoder–decoder networks"

Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder–decoder networks von Hussein, Ramy, Shin, David, Zhao, Moss Y., Guo, Jia, Davidzon, Guido, Steinberg, Gary, Moseley, Michael, Zaharchuk, Greg

“… This study presents a convolutional encoder–decoder network with attention mechanisms to predict the gold-standard 15O-water PET CBF from multi-contrast MRI scans, thus eliminating the need for radioactive tracers …”
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Decoding Muscle Force From Motor Unit Firings Using Encoder-Decoder Networks von Tang, Xiao, Zhang, Xu, Chen, Maoqi, Chen, Xiang, Chen, Xun

“… Appropriate interpretation of motor unit (MU) activities after surface EMG (sEMG) decomposition is a key factor to decode motor intentions in a noninvasive and …”
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Attention-based encoder-decoder networks for workflow recognition von Zhang, Min, Hu, Haiyang, Li, Zhongjin, Chen, Jie

“… In this paper, we propose a novel workflow recognition framework to recognize the behavior of working subjects based on the well-designed encoder-decoder structure …”
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Turning brain MRI into diagnostic PET: 15 O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks von Hussein, Ramy, Shin, David, Zhao, Moss Y, Guo, Jia, Davidzon, Guido, Steinberg, Gary, Moseley, Michael, Zaharchuk, Greg

“… This study presents a convolutional encoder-decoder network with attention mechanisms to predict the gold-standard O-water PET CBF from multi-contrast MRI scans, thus eliminating the need for radioactive tracers …”
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Deep learning for suppressing EMG and motion artifacts in armband ECG R-peak detection von Lim, Jaechan, Hajeb, Shirin, Kong, Youngsun, Chon, Ki H.

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EEG Channel Interpolation Using Deep Encoder-decoder Networks von Saba-Sadiya, Sari, Alhanai, Tuka, Liu, Taosheng, Ghassemi, Mohammad M.

“… ) and requires that popped segments be accurately interpolated. In this paper we frame the interpolation problem as a self-learning task using a deep encoder-decoder network …”
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EEG-based Mental Workload Estimation using Encoder-Decoder Networks with Multilevel Feature Fusion von Jin, Chang-Gyun, Kim, Seong-Eun

“… The encoder-decoder structure was used to reduce additive noise and subject variations of EEG data …”
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Deep residual inception encoder‐decoder network for amyloid PET harmonization von Shah, Jay, Gao, Fei, Li, Baoxin, Ghisays, Valentina, Luo, Ji, Chen, Yinghua, Lee, Wendy, Zhou, Yuxiang, Benzinger, Tammie L.S., Reiman, Eric M., Chen, Kewei, Su, Yi, Wu, Teresa

“… ‐B and florbetapir tracers. The model was trained using a dataset with 92 subjects with 10 …”
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Deep Encoder–Decoder Network-Based Wildfire Segmentation Using Drone Images in Real-Time von Muksimova, Shakhnoza, Mardieva, Sevara, Cho, Young-Im

“… Unmanned aerial vehicles (UAVs) have become the subject of active research in recent years …”
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Pedestrian Trajectory Prediction in Heterogeneous Traffic Using Pose Keypoints-Based Convolutional Encoder-Decoder Network von Chen, Kai, Song, Xiao, Ren, Xiaoxiang

“… To fulfill this, an end-to-end pose keypoints-based convolutional encoder-decoder network (PK-CEN) is designed, in which the heterogeneous traffic and pose keypoints are modeled as input …”
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Effective encoder-decoder network for pupil light reflex segmentation in facial photographs of ptosis patients von Lee, Sanghyuck, Song, Taekyung, Lee, Jeong Kyu, Lee, Jaesung

“… This study introduces a novel encoder-decoder network specialized in reflex segmentation by focusing on addressing issues related to very small regions of interest from an architectural perspective …”
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Iterative Convolutional Encoder-Decoder Network with Multi-Scale Context Learning for Liver Segmentation von Zhang, Feiyan, Yan, Shuhao, Zhao, Yizhong, Gao, Yuan, Li, Zhi, Lu, Xuesong

“… In this study, a novel convolutional encoder-decoder network incorporating multi-scale context information is proposed …”
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Cascaded redundant convolutional encoder-decoder network improved apnea detection performance using tracheal sounds in post anesthesia care unit patients von Zhang, Erpeng, Jia, Xiuzhu, Wu, Yanan, Liu, Jing, Yu, Lu

“… : Tracheal sound data from laboratory subjects was collected using a microphone. Record a segment of clinical background noise and clean tracheal sound data to synthesize the noisy tracheal sound data according to a specified signal-to-noise ratio …”
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Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network von Du, Xiuquan, Yin, Susu, Tang, Renjun, Zhang, Yanping, Li, Shuo

“… In this paper, we propose an improved end-to-end encoder-decoder network for CBV segmentation from the pixel level view (Cardiac-DeepIED …”
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Air-tissue Boundary Segmentation in Real Time Magnetic Resonance Imaging Video Using a Convolutional Encoder-decoder Network von Mannem, Renuka, Ghosh, Prasanta Kumar

“… In this paper, we propose a convolutional encoder-decoder network (CEDN) based approach for upper and lower Air-Tissue Boundary (ATB …”
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EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG With an Application to Emotion Recognition von Liang, Zhen, Zhou, Rushuang, Zhang, Li, Li, Linling, Huang, Gan, Zhang, Zhiguo, Ishii, Shin

“… How to effectively and efficiently extract valid and reliable features from high-dimensional electroencephalography (EEG), particularly how to fuse the spatial …”
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Impact of deep learning architectures on accelerated cardiac T1 mapping using MyoMapNet von Amyar, Amine, Guo, Rui, Cai, Xiaoying, Assana, Salah, Chow, Kelvin, Rodriguez, Jennifer, Yankama, Tuyen, Cirillo, Julia, Pierce, Patrick, Goddu, Beth, Ngo, Long, Nezafat, Reza

“… : (a) a fully connected neural network (FC), (b) convolutional neural networks (VGG19, ResNet50), and (c) encoder‐decoder networks with skip connections …”
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Document-Image Related Visual Sensors and Machine Learning Techniques

“… This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific …”
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Deep Learning Model for Analyzing EEG Signal Analysis von Gupta, Varun, Kumar, Vivek, Prince, Singh, Saurabh, Lee, Young-Seok, Ra, In-Ho

“… noise and artifacts, complexity of brain dynamics, and inter-subject variability. To address these issues, this paper compares a U-shaped encoder-decoder network (UNET …”
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Document-Image Related Visual Sensors and Machine Learning Techniques

“… This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific …”
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