Search Results - "Encoder–decoder architecture"

Opinion-unaware blind picture quality measurement using deep encoder–decoder architecture by Zhou, Wujie, Lin, Xinyang, Zhou, Xi, Lei, Jingsheng, Yu, Lu, Luo, Ting

“… Inspired by this, we propose a deep encoder–decoder architecture (DEDA) for opinion-unaware (OU…”
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Autosegmentation of Prostate Zones and Cancer Regions from Biparametric Magnetic Resonance Images by Using Deep-Learning-Based Neural Networks by Lai, Chih-Ching, Wang, Hsin-Kai, Wang, Fu-Nien, Peng, Yu-Ching, Lin, Tzu-Ping, Peng, Hsu-Hsia, Shen, Shu-Huei

“… For each subject, all slices that contained the transition zone (TZ), peripheral…”
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The exploration of a Temporal Convolutional Network combined with Encoder-Decoder framework for runoff forecasting by Lin, Kangling, Sheng, Sheng, Zhou, Yanlai, Liu, Feng, Li, Zhiyu, Chen, Hua, Xu, Chong-Yu, Chen, Jie, Guo, Shenglian

“…The Temporal Convolutional Network (TCN) and TCN combined with the Encoder-Decoder architecture (TCN-ED…”
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Regularised Encoder-Decoder Architecture for Anomaly Detection in ECG Time Signals by Chandra, Ashutosh, Kala, Rahul

“… The recorded time series ECG signal are often used by medical professionals to detect any arrhythmia the subject…”
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Design and Implementation of Power Efficient Encoder for Transition Reduction in Off-Chip Buses Using Adaptive Bus Encoding Technique by Sundhar, A., Valli, R., Navajothy, J., Bhyravaswamy, Patta, Sivapritha, S.

“… With subject to this, the adaptive bus encoding (ABE) mechanism is introduced which is executed without the preliminary knowledge about the required input streams…”
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Deep Learning-Based Automated Extraction of Anthropometric Measurements From a Single 3-D Scan by Kaashki, Nastaran Nourbakhsh, Hu, Pengpeng, Munteanu, Adrian

“…The appearance of 3-D scanners, generating point clouds, has revolutionized anthropometric data collection systems and their applications. Anthropometric data…”
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Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network by Guo, Zhihui, Zhang, Honghai, Chen, Zhi, van der Plas, Ellen, Gutmann, Laurie, Thedens, Daniel, Nopoulos, Peggy, Sonka, Milan

“…•Our method is robust in MR images from both healthy subjects and patients with DM1. Automated segmentation of individual calf muscle compartments from 3D magnetic resonance (MR…”
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BX2S-Net: Learning to reconstruct 3D spinal structures from bi-planar X-ray images by Chen, Zheye, Guo, Lijun, Zhang, Rong, Fang, Zhongding, He, Xiuchao, Wang, Jianhua

“…Grasping good understanding of the weight-bearing spatial structure of the spine of a human subject in a standing position is critical for the treatment of spinal disorders…”
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RelTR: Relation Transformer for Scene Graph Generation by Cong, Yuren, Yang, Michael Ying, Rosenhahn, Bodo

“… In this article, we propose an end-to-end scene graph generation model Relation Transformer (RelTR), which has an encoder-decoder architecture…”
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CMOS-GAN: Semi-supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis by Yu, Shikang, Han, Hu, Shan, Shiguang, Chen, Xilin

“… Specifically, CMOS-GAN uses a generator of encoder-decoder architecture for new modality synthesis…”
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3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis by Beetz, Marcel, Banerjee, Abhirup, Li, Lei, Camps, Julia, Rodriguez, Blanca, Grau, Vicente

“…–decoder architecture enables efficient multi-scale feature learning directly on high resolution point cloud representations of the multi-class 3D cardiac anatomy and can capture complex non-linear 3D…”
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The shape variational autoencoder: A deep generative model of part‐segmented 3D objects by Nash, C., Williams, C. K. I.

“… Our model makes use of a deep encoder‐decoder architecture that leverages the part‐decomposability of 3D objects to embed high…”
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Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks by Romaguera, Liset Vázquez, Plantefève, Rosalie, Romero, Francisco Perdigón, Hébert, François, Carrier, Jean-François, Kadoury, Samuel

“… We propose a novel framework to predict the in-plane organ motion. We introduce a recurrent encoder-decoder architecture which leverages feature…”
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HOTR: End-to-End Human-Object Interaction Detection with Transformers by Kim, Bumsoo, Lee, Junhyun, Kang, Jaewoo, Kim, Eun-Sol, Kim, Hyunwoo J.

“…〉 triplets from an image based on a transformer encoder-decoder architecture. Through the set prediction, our method effectively exploits the inherent semantic…”
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Complementation‐reinforced network for integrated reconstruction and segmentation of pulmonary gas MRI with high acceleration by Li, Zimeng, Xiao, Sa, Wang, Cheng, Li, Haidong, Zhao, Xiuchao, Zhou, Qian, Rao, Qiuchen, Fang, Yuan, Xie, Junshuai, Shi, Lei, Ye, Chaohui, Zhou, Xin

“…Background Hyperpolarized (HP) gas MRI enables the clear visualization of lung structure and function. Clinically relevant biomarkers, such as ventilated…”
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Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network by Du, Xiuquan, Yin, Susu, Tang, Renjun, Zhang, Yanping, Li, Shuo

“…). In our framework, we explicitly solve the high variability of complex cardiac structures through an improved encoder-decoder architecture which consists of Fire dilated modules and D-Fire dilated modules…”
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Encoder-Decoder Architectures for Silent Speech Recognition based on High-density Surface Electromyogram by Chen, Xi, Zhang, Xu, Chen, Xiang, Chen, Xun

“… In this study, we propose a convolutional Long Short-Term Memory-based encoder-decoder architecture to characterize and decode silent speech without time-alignment training data…”
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Relation extraction for colorectal cancer via deep learning with entity-aware feature orthogonal decomposition by Luo, Zhihao, Feng, Jianjun, Cai, Nian, Wang, Xiaodan, Liao, Jiacheng, Li, Quanqing, Peng, Fuqiang, Chen, Chuanwen

“…–decoder architecture with entity-aware feature orthogonal decomposition. Specifically, to effectively extract semantic features of long and short entities, a two…”
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Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks by Beetz, Marcel, Banerjee, Abhirup, Grau, Vicente

“… Its encoder-decoder architecture combines a low-dimensional latent space with recent advances in point cloud deep learning for effective multi-scale feature learning directly on flexible and memory…”
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Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings by 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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