Search Results - Multi-scale 3D convolutional sparse coding~

Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection

Authors: Thanh Nguyen-Duc Tran Minh Quan Won-Ki Jeong

Source: Medical Image Analysis. 53:179-196

Subject Terms: 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Brain, Datasets as Topic, Humans, Heart, 02 engineering and technology, Magnetic Resonance Imaging, Algorithms

Access URL: https://scholarworks.unist.ac.kr/bitstream/201301/25948/1/Frequency-splitting%20Dynamic%20MRI%20Reconstruction%20using%20Multi-scale%203D%20Convolutional%20Sparse%20Coding%20and%20Automatic%20Parameter%20Selection.pdf
https://pubmed.ncbi.nlm.nih.gov/30798117
https://dblp.uni-trier.de/db/journals/mia/mia53.html#Nguyen-DucQJ19
https://www.sciencedirect.com/science/article/pii/S1361841519300155
https://scholarworks.unist.ac.kr/handle/201301/26418
https://pubmed.ncbi.nlm.nih.gov/30798117/
https://doi.org/10.1016/j.media.2019.02.001
https://www.ncbi.nlm.nih.gov/pubmed/30798117

Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization

Authors: Thanh Nguyen-Duc Won-Ki Jeong

Source: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). :332-335

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/isbi/isbi2018.html#Nguyen-DucJ18

CSSNet: A 3D medical image segmentation network based on compressed sparse dual-branch structure.

Authors: Luan, Xiao Fu, Yule Liu, Linghui et al.

Source: Pattern Recognition Letters. Nov2025, Vol. 197, p222-228. 7p.

Subject Terms: *IMAGE segmentation, *MAGNETIC resonance imaging, *CONVOLUTIONAL neural networks, *TRANSFORMER models, *COMPUTER-assisted image analysis (Medicine)

An Intelligent System Approach for Probabilistic Volume Rendering Using Hierarchical 3D Convolutional Sparse Coding

Authors: Quan, Tran Minh Choi, Junyoung Jeong, Haejin et al.

Source: IEEE Transactions on Visualization and Computer Graphics. 24:964-973

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://pubmed.ncbi.nlm.nih.gov/28866519
https://scholarworks.unist.ac.kr/handle/201301/23177
https://europepmc.org/article/MED/28866519
http://ieeexplore.ieee.org/document/8019819/
https://dblp.uni-trier.de/db/journals/tvcg/tvcg24.html#QuanCJJ18
https://ieeexplore.ieee.org/document/8019819
https://www.ncbi.nlm.nih.gov/pubmed/28866519

Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization

Authors: Thanh, Nguyen-Duc Jeong, Won-Ki

Subject Terms: Multi-scale 3D CSC, Elastic Net Regularization, Compressed Sensing, MRI, GPU

Relation: IEEE International Symposium on Biomedical Imaging (ISBI 2018), pp.332 - 335; https://scholarworks.unist.ac.kr/handle/201301/34845; 19510; 2-s2.0-85048099428

Availability: https://scholarworks.unist.ac.kr/handle/201301/34845

Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection.

Authors: Nguyen-Duc, Thanh Quan, Tran Minh Jeong, Won-Ki

Source: Medical Image Analysis; Apr2019, Vol. 53, p179-196, 18p

Subject Terms: MAGNETIC resonance imaging, COMPRESSED sensing, DIAGNOSTIC imaging, IMAGE reconstruction, GENETIC algorithms, IMAGE reconstruction software

Multi Attention Convolutional Sparse Coding U-Net for Enhanced Land-Use and Land-Cover Segmentation Using Hyperspectral Images.

Authors: Yele, Vijaykumar P. Badhe, Namdeo Baban Alegavi, Sujata et al.

Source: Sensing & Imaging; 5/20/2025, Vol. 26 Issue 1, p1-32, 32p

Penalized-Likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding.

Authors: Xie, Nuobei Gong, Kuang Guo, Ning et al.

Source: IEEE Transactions on Biomedical Engineering; Jan2022, Vol. 69 Issue 1, p4-14, 11p

Subject Terms: THREE-dimensional imaging, POSITRON emission tomography, IMAGE reconstruction, SEPARATION of variables

Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications.

Authors: Chang, Hang Han, Ju Zhong, Cheng et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; May2018, Vol. 40 Issue 5, p1182-1194, 13p

Subject Terms: SUPERVISED learning, CODING theory, DEEP learning, IONIZING radiation, FEATURE extraction, BRAIN tumor diagnosis

Frequency-splitting Dynamic MRI Reconstruction using Multi-scale 3D Convolutional Sparse Coding and Automatic Parameter Selection

Authors: Nguyen Duc, Van Thanh Jeong, Won-Ki

Contributors: Nguyen Duc, Van Thanh Jeong, Won-Ki

Relation: 200000177634; http://unist.dcollection.net/common/orgView/200000177634; https://scholarworks.unist.ac.kr/handle/201301/25948

Availability: https://scholarworks.unist.ac.kr/handle/201301/25948
http://unist.dcollection.net/common/orgView/200000177634

Multi-scale 3D deep convolutional neural network for hyperspectral image classification

Authors: Bo Li Mingyi He Huahui Chen

Source: 2017 IEEE International Conference on Image Processing (ICIP). :3904-3908

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/icip/icip2017.html#HeLC17
https://doi.org/10.1109/ICIP.2017.8297014

Multi-focus image fusion via online convolutional sparse coding.

Authors: Zhang, Chengfang Zhang, Ziyou Li, Haoyue et al.

Source: Multimedia Tools & Applications; Feb2024, Vol. 83 Issue 6, p17327-17356, 30p

Interpretable Multi-Modal Image Registration Network Based on Disentangled Convolutional Sparse Coding.

Authors: Deng, Xin Liu, Enpeng Li, Shengxi et al.

Source: IEEE Transactions on Image Processing; 2023, Vol. 32, p1078-1091, 14p

Subject Terms: GENERATIVE adversarial networks, LINEAR network coding, COMPUTED tomography, TASK analysis, MAGNETIC resonance, IMAGE registration, DEEP learning

SureUnet: sparse autorepresentation encoder U-Net for noise artifact suppression in low-dose CT.

Authors: Liu, Jin Zhang, Tingyu Kang, Yanqin et al.

Source: Neural Computing & Applications; Apr2025, Vol. 37 Issue 11, p7561-7573, 13p

Subject Terms: COMPUTED tomography, IMAGE processing, IONIZING radiation, ARTIFICIAL intelligence, DEEP learning

Tire defect classification using a deep convolutional sparse-coding network.

Authors: Zheng, Zhouzhou Shen, Jinyue Shao, Yuyi et al.

Source: Measurement Science & Technology; May2021, Vol. 32 Issue 5, p1-11, 11p

Subject Terms: CONVOLUTIONAL neural networks, TRAFFIC safety, CONSTRUCTION defects (Buildings), CLASSIFICATION algorithms, FEATURE extraction

Multi-Layer Deep Sparse Representation for Biological Slice Image Inpainting.

Authors: Haitao Hu Hongmei Ma Shuli Mei

Source: Computers, Materials & Continua; 2023, Vol. 76 Issue 3, p3813-3832, 20p

Subject Terms: INPAINTING, CONVOLUTIONAL neural networks, PARTIAL differential equations, CROSS-sectional imaging, IMAGE reconstruction

Discriminative convolution sparse coding for robust image classification.

Authors: Nozaripour, Ali Soltanizadeh, Hadi

Source: Multimedia Tools & Applications; Nov2022, Vol. 81 Issue 28, p40849-40870, 22p

Subject Terms: CONVOLUTION codes, IMAGE reconstruction, ELECTRIC power filters, ERROR functions, IMAGE processing, CLASSIFICATION algorithms, ORTHOGONAL matching pursuit

Generalized Convolutional Sparse Coding With Unknown Noise.

Authors: Wang, Yaqing Kwok, James T. Ni, Lionel M.

Source: IEEE Transactions on Image Processing; 2020, Vol. 29, p5386-5395, 10p

Subject Terms: GAUSSIAN mixture models, PROBABILITY density function, EXPECTATION-maximization algorithms, RANDOM noise theory, NOISE

Application of Artificial Intelligence Technologies as an Intervention for Promoting Healthy Eating and Nutrition in Older Adults: A Systematic Literature Review.

Authors: Kalu, Kingsley Ataguba, Grace Onifade, Oyepeju et al.

Source: Nutrients. Oct2025, Vol. 17 Issue 20, p3223. 33p.

小波域卷积稀疏编码的低剂量CT 图像重建. (Chinese)

Alternate Title: Convolutional Sparse Coding in Wavelet Domain for Low Dose CT Reconstruction. (English)

Authors: 刘进 亢艳芹 胡殿麟 et al.

Source: Journal of Computer-Aided Design & Computer Graphics / Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao; 2020, Vol. 32 Issue 11, p1784-1794, 11p