Výsledky vyhledávání - "Convolutional encoder-decoder"

Pedestrian Trajectory Prediction in Heterogeneous Traffic Using Pose Keypoints-Based Convolutional Encoder-Decoder Network Autor 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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Fully Convolutional Encoder-Decoder With an Attention Mechanism for Practical Pedestrian Trajectory Prediction Autor Chen, Kai, Song, Xiao, Yuan, Haitao, Ren, Xiaoxiang

“…: a) Most of them rely on manual annotations to obtain information about the environment surrounding the subject pedestrian, which limits practical applications; b…”
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Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a deep convolutional Encoder-Decoder filtering model Autor Hajeb-M, Shirin, Cascella, Alicia, Valentine, Matt, Chon, K.H.

“…•We demonstrated an application of a deep convolutional encoder-decoder method in AEDs.•Results indicate continuous and accurate AED rhythm analysis without stoppage of CPR…”
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Iterative Convolutional Encoder-Decoder Network with Multi-Scale Context Learning for Liver Segmentation Autor 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 Autor Zhang, Erpeng, Jia, Xiuzhu, Wu, Yanan, Liu, Jing, Yu, Lu

“…) and input the Cascaded Redundant Convolutional Encoder-Decoder…”
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Multi-Task Learning Using Attention-Based Convolutional Encoder-Decoder for Dilated Cardiomyopathy CMR Segmentation and Classification Autor Luo, Chao, Shi, Canghong, Li, Xiaojie, Wang, Xin, Chen, Yucheng, Gao, Dongrui, Yin, Youbing, Song, Qi, Wu, Xi, Zhou, Jiliu

“… Moreover, visual assessment and empirical evaluation are widely used in routine clinical diagnosis, but they are subject to high inter-observer variability and are both subjective and non-reproducible…”
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Air-tissue Boundary Segmentation in Real Time Magnetic Resonance Imaging Video Using a Convolutional Encoder-decoder Network Autor 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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Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network Autor Du, Xiuquan, Tang, Renjun, Yin, Susu, Zhang, Yanping, Li, Shuo

“…) and multi-task regression network (Contour2Indices). First, Img2Contour, which contains a deep convolutional encoder-decoder module, is designed to obtain the LV contour…”
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Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder–decoder networks Autor 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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Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI Autor Zha, Wei, Fain, Sean B., Schiebler, Mark L., Evans, Michael D., Nagle, Scott K., Liu, Fang

“… Automated segmentation of the lungs using 2D convolutional encoder‐decoder based DL method, and the subsequent…”
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AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic Radiosurgery Autor Hosseini, Mahboube Sadat, Aghamiri, Seyed Mahmoud Reza, Fatemi Ardekani, Ali, BagheriMofidi, Seyed Mehdi, Safari, Mojtaba

“… AutoCorNN integrates two 2D convolutional encoder-decoder neural networks with the forward physical model of MRI signal generation to predict undistorted MR and field map images from distorted MR input…”
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Modeling social interaction and intention for pedestrian trajectory prediction Autor Chen, Kai, Song, Xiao, Ren, Xiaoxiang

“… (cars, dogs, bicycles, motorcycles, etc.) with a great influence on the subject pedestrian’s future trajectory. Most existing methods neglect the intentions of the pedestrian, which can be obtained by the key points of the subject…”
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A 3D Sparse Autoencoder for Fully Automated Quality Control of Affine Registrations in Big Data Brain MRI Studies Autor Thadikemalla, Venkata Sainath Gupta, Focke, Niels K., Tummala, Sudhakar

“… Here, a customized 3D convolutional encoder-decoder (autoencoder) framework is proposed and the network is trained in a fully unsupervised manner…”
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Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings Autor Wang, Gang, Liu, Dongdong, Cui, Lingli

“… First, an auto-embedding module is developed to improve the embedding quality of the signal, which is designed based on a novel asymmetric convolutional encoder-decoder architecture…”
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AM-MTEEG: multi-task EEG classification based on impulsive associative memory Autor Li, Junyan, Hu, Bin, Guan, Zhi-Hong

“… The model is built with a convolutional encoder-decoder and a population of impulsive neurons to extract shared features across subjects, as well as a Hebbian-learned bidirectional associative memory…”
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Deep Convolutional Symmetric Encoder—Decoder Neural Networks to Predict Students’ Visual Attention Autor Hachaj, Tomasz, Stolińska, Anna, Andrzejewska, Magdalena, Czerski, Piotr

“…Prediction of visual attention is a new and challenging subject, and to the best of our knowledge, there are not many pieces of research devoted to the anticipation of students…”
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Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation Autor Hussein, Ramy, Zhao, Moss Y., Shin, David, Guo, Jia, Chen, Kevin T., Armindo, Rui D., Davidzon, Guido, Moseley, Michael, Zaharchuk, Greg

“… The proposed framework comprises two prime networks: (1) an attention-based 3D convolutional encoder-decoder network to synthesize high-quality PET CBF maps from multi-contrast MRI images, and (2…”
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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 Autor 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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Segmentation of parasternal long axis views using deep learning Autor Smistad, Erik, Dalen, Havard, Grenne, Bjornar, Lovstakken, Lasse

“…) and left ventricular outflow tract (LVOT) were annotated in images from 53 subjects and used for training a fully-convolutional encoder-decoder neural network…”
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A SegNet Based Image Enhancement Technique for Air-Tissue Boundary Segmentation in Real-Time Magnetic Resonance Imaging Video Autor Mannem, Renuka, Ca, Valliappan, Ghosh, Prasanta Kumar

“… We use a deep convolutional encoder-decoder architecture (SegNet) for semantic segmentation of the rtMRI images…”
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