Search Results - Jeong, Geunu

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  1. 1
    Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

    Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction by Muckley, Matthew J., Riemenschneider, Bruno, Radmanesh, Alireza, Kim, Sunwoo, Jeong, Geunu, Ko, Jingyu, Jun, Yohan, Shin, Hyungseob, Hwang, Dosik, Mostapha, Mahmoud, Arberet, Simon, Nickel, Dominik, Ramzi, Zaccharie, Ciuciu, Philippe, Starck, Jean-Luc, Teuwen, Jonas, Karkalousos, Dimitrios, Zhang, Chaoping, Sriram, Anuroop, Huang, Zhengnan, Yakubova, Nafissa, Lui, Yvonne W., Knoll, Florian

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  2. 2
    Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques

    Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques by Seo, Minkook, Jung, Woojin, Jeong, Geunu, Yang, Seungwook, Shin, Ilah, Lee, Ji Young, Ahn, Kook-Jin, Kim, Bum-soo, Jang, Jinhee

    Published in Scientific reports
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  3. 3
    Highly accelerated 3D MPRAGE using deep neural network–based reconstruction for brain imaging in children and young adults

    Highly accelerated 3D MPRAGE using deep neural network–based reconstruction for brain imaging in children and young adults by Jung, Woojin, Kim, JeeYoung, Ko, Jingyu, Jeong, Geunu, Kim, Hyun Gi

    Published in European radiology
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  4. 4
    Convolutional neural network-based reconstruction for acceleration of prostate T2 weighted MR imaging: a retro- and prospective study

    Convolutional neural network-based reconstruction for acceleration of prostate T2 weighted MR imaging: a retro- and prospective study by Jung, Woojin, Kim, Eu Hyun, Ko, Jingyu, Jeong, Geunu, Choi, Moon Hyung

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  5. 5
    Convolutional neural network-based reconstruction for acceleration of prostate T 2 weighted MR imaging: a retro- and prospective study

    Convolutional neural network-based reconstruction for acceleration of prostate T 2 weighted MR imaging: a retro- and prospective study by Jung, Woojin, Kim, Eu Hyun, Ko, Jingyu, Jeong, Geunu, Choi, Moon Hyung

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  6. 6
    Reliability of brain volume measures of accelerated 3D T1-weighted images with deep learning-based reconstruction

    Reliability of brain volume measures of accelerated 3D T1-weighted images with deep learning-based reconstruction by Jung, Woojin, Jeong, Geunu, Kim, Sohyun, Hwang, Inpyeong, Choi, Seung Hong, Jeon, Young Hun, Choi, Kyu Sung, Lee, Ji Ye, Yoo, Roh-Eul, Yun, Tae Jin, Kang, Koung Mi

    Published in Neuroradiology
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  7. 7
    All-in-One Deep Learning Framework for MR Image Reconstruction

    All-in-One Deep Learning Framework for MR Image Reconstruction by Jeong, Geunu, Kim, Hyeonsoo, Yang, Joonyoung, Jang, Kyungeun, Kim, Jeewook

    Published in arXiv.org
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  8. 8
    Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

    Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction by Muckley, Matthew J, Riemenschneider, Bruno, Radmanesh, Alireza, Sunwoo, Kim, Jeong, Geunu, Ko, Jingyu, Jun, Yohan, Shin, Hyungseob, Hwang, Dosik, Mostapha, Mahmoud, Arberet, Simon, Nickel, Dominik, Zaccharie Ramzi, Ciuciu, Philippe, Starck, Jean-Luc, Teuwen, Jonas, Karkalousos, Dimitrios, Zhang, Chaoping, Anuroop Sriram, Huang, Zhengnan, Yakubova, Nafissa, Lui, Yvonne, Knoll, Florian

    Published in arXiv.org
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