Search Results - 3D encoder-decoder architecture*

Encoder–Decoder Architecture for 3D Seismic Inversion by 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 by 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 by 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 by 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 by 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 by 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 by 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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HEDN: multi-oriented hierarchical extraction and dual-frequency decoupling network for 3D medical image segmentation by 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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TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers by 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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A dual encoder–decoder multi-task 3D deep learning framework for the segmentation of focal cortical dysplasia lesions by 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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Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction by 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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Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture by 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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Shuffle in 3D: A Lightweight Architecture for Stereo Matching by 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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New multiple sclerosis lesion segmentation and detection using pre-activation U-Net by 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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3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images by 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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A Novel Spatio-Temporal 3D Convolutional Encoder-Decoder Network for Dynamic Saliency Prediction by 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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Dual attention-based deep learning network for multi-class object semantic segmentation of tunnel point clouds by 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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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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Deep Encoder-Decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-View Data by 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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Image Augmentation based on Variational Autoencoder for Breast Tumor Segmentation by Balaji, K

“… Here, we describe a 3D Connected-UNets for tumor segmentation from 3D Magnetic Resonance Imagings based on encoder-decoder architecture…”
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