Suchergebnisse - 3D encoder–decoder architecture

Encoder–Decoder Architecture for 3D Seismic Inversion von Gelboim, Maayan, Adler, Amir, Sun, Yen, Araya-Polo, Mauricio

“… We implement and analyze a convolutional encoder–decoder architecture that efficiently processes the entire collection of hundreds …”
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Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization von Habijan, Marija, Galić, Irena, Leventić, Hrvoje, Romić, Krešimir

“… An accurate whole heart segmentation (WHS) on medical images, including computed tomography (CT) and magnetic resonance (MR) images, plays a crucial role in …”
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A novel lightweight 3D CNN for accurate deformation time series retrieval in MT-InSAR von Abdallah, Mahmoud, Ding, Xiaoli, Younis, Samaa, Wu, Songbo

“… To address this limitation, we propose UNet-3D, a novel three-dimensional encoder-decoder architecture that captures the spatiotemporal …”
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Generating Land Cover Maps in Semi-arid Regions Based on a 3D Semantic Segmentation Architecture Using Multi-temporal Sentinel-2 Satellite Images: A Case Study of Ludhiana District in Punjab, India von Buttar, Preetpal Kaur, Sachan, Manoj Kumar

“… Using satellite imagery for land cover mapping is of utmost importance due to its role played in environmental management and protection, assessment of natural …”
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SISR of Hyperspectral Remote Sensing Imagery Using 3D Encoder-Decoder RUNet Architecture von Aburaed, Nour, Alkhatib, Mohammed Q., Marshall, Stephen, Zabalza, Jaime, Ahmad, Hussain Al

“… This paper deals with SISR of HSI through the 3D expansion of Robust UNet (RUNet). The network is developed, trained, and tested over two datasets, and compared against the original 2D-RUNet and other state-of-the-art approaches …”
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Encoder-Decoder Architecture for 3D Seismic Inversion von Gelboim, Maayan, Adler, Amir, Sun, Yen, Araya-Polo, Mauricio

“… We implement and analyze a convolutional encoder-decoder architecture that efficiently processes the entire collection of hundreds …”
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Automatic Evaluation Method for Functional Movement Screening Based on Multi-Scale Lightweight 3D Convolution and an Encoder–Decoder von Lin, Xiuchun, Liu, Yichao, Feng, Chen, Chen, Zhide, Yang, Xu, Cui, Hui

“… To address this challenge, this paper proposes an automatic evaluation method for FMS based on a multi-scale lightweight 3D convolution encoder–decoder (ML3D-ED) architecture …”
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A dual encoder–decoder multi-task 3D deep learning framework for the segmentation of focal cortical dysplasia lesions von Niyas, S., Kesavadas, Chandrasekharan, Rajan, Jeny

“… We propose a novel 3D deep learning model employing a multi-view dual encoder–decoder architecture to precisely segment FCD lesions within MRI volumes …”
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An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds von Ji, Ankang, Chew, Alvin Wei Ze, Xue, Xiaolong, Zhang, Limao

“… To address this problem, this research proposes an encoder-decoder deep learning method combined with point cloud techniques for multi-class object segmentation, including seepage, from 3D tunnel point clouds …”
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A Novel Spatio-Temporal 3D Convolutional Encoder-Decoder Network for Dynamic Saliency Prediction von Li, Hao, Qi, Fei, Shi, Guangming

“… In this paper, a novel 3D convolutional encoder-decoder architecture is proposed for saliency prediction on dynamic scenes …”
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Deep Encoder-Decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-View Data von Xie, Huidong, Shan, Hongming, Wang, Ge

“… In this paper, we propose a deep encoder-decoder adversarial reconstruction (DEAR) network for 3D CT image reconstruction from few-view data …”
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Dual attention-based deep learning network for multi-class object semantic segmentation of tunnel point clouds von Ji, Ankang, Zhang, Limao, Fan, Hongqin, Xue, Xiaolong, Dou, Yudan

“… discrepancies and enhance local features, after which the processed data are input into the built network layers based on the encoder-decoder architecture coupled with an improved 3D dual attention module to extract and learn features …”
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Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction von Shakya, Mahesh, Khanal, Bishesh

“… Various deep learning models have been proposed for 3D bone shape reconstruction from two orthogonal (biplanar) X-ray images …”
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3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images von Jia, Haozhe, Xia, Yong, Song, Yang, Zhang, Donghao, Huang, Heng, Zhang, Yanning, Cai, Weidong

“… in image appearance, imaging interference, and anisotropic spatial resolution. In this paper, we propose the 3D adversarial pyramid anisotropic convolutional deep neural network (3D APA-Net …”
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Shuffle in 3D: A Lightweight Architecture for Stereo Matching von Xiao, Jianqiang, Yamane, Satoshi

“… The deep learning-based stereo matching approaches commonly construct 3D cost volume with a Siamese network, and the 3D encoder-decoder architectures regularize 3D cost volume to generate disparity as output …”
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HEDN: multi-oriented hierarchical extraction and dual-frequency decoupling network for 3D medical image segmentation von Wang, Yu, Huang, Guoheng, Lu, Zeng, Wang, Ying, Chen, Xuhang, Yuan, Xiaochen, Li, Yan, Liu, Jieni, Huang, Yingping

“… Previous 3D encoder-decoder segmentation architectures struggled with fine-grained feature decomposition, resulting in unclear feature hierarchies when fused across layers …”
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Towards bi-directional skip connections in encoder-decoder architectures and beyond von Xiang, Tiange, Zhang, Chaoyi, Wang, Xinyi, Song, Yang, Liu, Dongnan, Huang, Heng, Cai, Weidong

“… •Our proposed methods established new benchmarks on a variety of 5 2D/3D datasets. [Display omitted] U-Net, as an encoder-decoder architecture with forward skip connections, has achieved promising results in various medical image analysis tasks …”
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TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers von Chen, Jieneng, Mei, Jieru, Li, Xianhang, Lu, Yongyi, Yu, Qihang, Wei, Qingyue, Luo, Xiangde, Xie, Yutong, Adeli, Ehsan, Wang, Yan, Lungren, Matthew P., Zhang, Shaoting, Xing, Lei, Lu, Le, Yuille, Alan, Zhou, Yuyin

“… Medical image segmentation is crucial for healthcare, yet convolution-based methods like U-Net face limitations in modeling long-range dependencies. To address …”
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New multiple sclerosis lesion segmentation and detection using pre-activation U-Net von Ashtari, Pooya, Barile, Berardino, Van Huffel, Sabine, Sappey-Marinier, Dominique

“… In this paper, we propose Pre-U-Net, a 3D encoder-decoder architecture with pre-activation residual blocks, for the segmentation and detection of new MS lesions …”
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Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture von Bouget, David, Pedersen, André, Hosainey, Sayied Abdol Mohieb, Vanel, Johanna, Solheim, Ole, Reinertsen, Ingerid

“… We studied two different three-dimensional (3D) neural network architectures: (i) a simple encoder-decoder similar to a 3D U-Net, and (ii …”
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