Search Results - "Convolutional encoder–decoder networks"

Pedestrian Trajectory Prediction in Heterogeneous Traffic Using Pose Keypoints-Based Convolutional Encoder-Decoder Network by 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…”
Get full text

Iterative Convolutional Encoder-Decoder Network with Multi-Scale Context Learning for Liver Segmentation by 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…”
Get full text

Cascaded redundant convolutional encoder-decoder network improved apnea detection performance using tracheal sounds in post anesthesia care unit patients by 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…”
Get more information

Air-tissue Boundary Segmentation in Real Time Magnetic Resonance Imaging Video Using a Convolutional Encoder-decoder Network by 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…”
Get full text

Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder–decoder networks by 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…”
Get full text

Deep Convolutional Symmetric Encoder—Decoder Neural Networks to Predict Students’ Visual Attention by 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…”
Get full text

Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation by 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…”
Get full text

Turning brain MRI into diagnostic PET: 15 O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks by 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…”
Get full text

Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks by 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…”
Get full text