Výsledky vyhledávání - "convolutional encoder-decoder network"

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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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

“…: 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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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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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 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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Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks Autor Hussein, Ramy, Shin, David, Moss, Zhao, Guo, Jia, Davidzon, Guido, Moseley, Michael, Zaharchuk, Greg

“… This study presents a convolutional encoder-decoder network with attention mechanisms to predict gold-standard 15O-water PET CBF from multi-sequence MRI scans, thereby eliminating the need for radioactive tracers…”
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