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"Research Trends of Academic Discourse in Korean Language Education: A Systematic Literature Review (2005-2022)"

Teaching Korean as a Foreign Language, 2023-11, Vol.71, p.51-93

2023

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Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

IEEE transactions on medical imaging, 2017-12, Vol.36 (12), p.2524-2535

2017

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LEARN: Learned Experts' Assessment-Based Reconstruction Network for Sparse-Data CT

IEEE transactions on medical imaging, 2018-06, Vol.37 (6), p.1333-1347

2018

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Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network

Medical image analysis, 2019-07, Vol.55, p.165-180

2019

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Unified medical image segmentation by learning from uncertainty in an end-to-end manner

Knowledge-based systems, 2022-04, Vol.241, p.108215, Article 108215

2022

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MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction

IEEE transactions on medical imaging, 2021-12, Vol.40 (12), p.3459-3472

2021

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Convolutional Sparse Coding for Compressed Sensing CT Reconstruction

IEEE transactions on medical imaging, 2019-11, Vol.38 (11), p.2607-2619

2019

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Diffusion MRI super-resolution reconstruction via sub-pixel convolution generative adversarial network

Magnetic resonance imaging, 2022-05, Vol.88, p.101-107

2022

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Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulations

NeuroImage (Orlando, Fla.), 2017-05, Vol.152, p.371-380

2017

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ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images

Artificial intelligence in medicine, 2022-03, Vol.125, p.102254-102254, Article 102254

2022

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Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation

Knowledge-based systems, 2023-07, Vol.272, p.110598, Article 110598

2023

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SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction

IEEE transaction on neural networks and learning systems, 2023-10, Vol.PP, p.1-15

2023

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CL-TransFER: Collaborative learning based transformer for facial expression recognition with masked reconstruction

Pattern recognition, 2024-12, Vol.156, p.110741, Article 110741

2024

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Functional clustering of whole brain white matter fibers

Journal of neuroscience methods, 2020-04, Vol.335, p.108626-108626, Article 108626

2020

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Exploring Domain-Invariant Feature Space for Unsupervised Cross-Domain Facial Expression Recognition via Diffusion Model

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-9

2024

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Functional Informed Fiber Tracking Using Combination of Diffusion and Functional MRI

IEEE transactions on biomedical engineering, 2019-03, Vol.66 (3), p.794-801

2019

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An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation

International journal of neural systems, 2022-09, Vol.32 (9)

2022

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Spectral CT Reconstruction With Image Sparsity and Spectral Mean

IEEE transactions on computational imaging, 2016-12, Vol.2 (4), p.510-523

2016

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Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling

International journal of neural systems, 2023-05, Vol.33 (6), p.2350032

2023

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Pluralistic Face Inpainting with Transformation of Attribute Information

IEEE transactions on multimedia, 2023-01, Vol.25, p.1-14

2023

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Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network

Neural processing letters, 2023-12, Vol.55 (7), p.9931-9948

2023

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LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT

IEEE transactions on radiation and plasma medical sciences, 2023-02, Vol.7 (2), p.1-1

2023

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BTMuda: A Bi-Level Multi-Source Unsupervised Domain Adaptation Framework for Breast Cancer Diagnosis

IEEE transactions on radiation and plasma medical sciences, 2024-08, p.1-1

2024

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Promoting fast MR imaging pipeline by full-stack AI

iScience, 2024-01, Vol.27 (1), p.108608-108608, Article 108608

2024

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Text Detection and Recognition for Natural Scene Images Using Deep Convolutional Neural Networks

Computers, materials & continua, 2019-01, Vol.61 (1), p.289-300

2019

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"Research Trends of Academic Discourse in Korean Language Education: A Systematic Literature Review (2005-2022)"

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

LEARN: Learned Experts' Assessment-Based Reconstruction Network for Sparse-Data CT

Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network

Unified medical image segmentation by learning from uncertainty in an end-to-end manner

MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction

Convolutional Sparse Coding for Compressed Sensing CT Reconstruction

Diffusion MRI super-resolution reconstruction via sub-pixel convolution generative adversarial network

Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulations

ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images

Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation

SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction

CL-TransFER: Collaborative learning based transformer for facial expression recognition with masked reconstruction

Functional clustering of whole brain white matter fibers

Exploring Domain-Invariant Feature Space for Unsupervised Cross-Domain Facial Expression Recognition via Diffusion Model

Functional Informed Fiber Tracking Using Combination of Diffusion and Functional MRI

An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation

Spectral CT Reconstruction With Image Sparsity and Spectral Mean

Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling

Pluralistic Face Inpainting with Transformation of Attribute Information

Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network

LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT

BTMuda: A Bi-Level Multi-Source Unsupervised Domain Adaptation Framework for Breast Cancer Diagnosis

Promoting fast MR imaging pipeline by full-stack AI

Text Detection and Recognition for Natural Scene Images Using Deep Convolutional Neural Networks

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