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Ye, Jong Chul (예종철)
교수, Department of Bio and Brain Engineering(바이오및뇌공학과)
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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    MumfordShah Loss Functional for Image Segmentation With Deep Learning

    Kim, Boah; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.29, pp.1856 - 1866, 2021-08

    2
    Quantitative susceptibility map reconstruction using annihilating filter-based low-rank Hankel matrix approach

    Ahn, Hyun-Seo; Park, Sung-Hongresearcher; Ye, Jong Chulresearcher, MAGNETIC RESONANCE IN MEDICINE, v.83, no.3, pp.858 - 871, 2020-03

    3
    Quantitative susceptibility map reconstruction using annihilating filter‐based low‐rank Hankel matrix approach

    Ahn, Hyun-Seo; Park, Sung-Hong; Ye, Jong Chulresearcher, MAGNETIC RESONANCE IN MEDICINE, v.83, no.3, pp.858 - 871, 2020-03

    4
    Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning

    Ravishankar, Saiprasad; Ye, Jong Chulresearcher; Fessler, Jeffrey A., PROCEEDINGS OF THE IEEE, v.108, no.1, pp.86 - 109, 2020-01

    5
    k-Space deep learning for reference-free EPI ghost correction

    Lee, Juyoung; Han, Yoseob; Ryu, Jae-Kyun; et al, MAGNETIC RESONANCE IN MEDICINE, v.82, no.6, pp.2299 - 2313, 2019-12

    6
    Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning

    Yoon, Yeo Hun; Khan, Shujaat; Huh, Jaeyoung; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.38, no.2, pp.325 - 336, 2019-02

    7
    A MATHEMATICAL FRAMEWORK FOR DEEP LEARNING IN ELASTIC SOURCE IMAGING

    Yoo, Jaejun; Wahab, Abdul; Ye, Jong Chulresearcher, SIAM JOURNAL ON APPLIED MATHEMATICS, v.78, no.5, pp.2791 - 2818, 2018-11

    8
    Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy

    Min, Junhong; Jin, Kyong Hwan; Unser, Michael; et al, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.27, no.10, pp.4771 - 4786, 2018-10

    9
    Deep learning with domain adaptation for accelerated projection-reconstruction MR

    Han, Yo Seob; Yoo, Jaejun; Kim, Hak Hee; et al, MAGNETIC RESONANCE IN MEDICINE, v.80, no.3, pp.1189 - 1205, 2018-09

    10
    Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks

    Lee, Dongwook; Yoo, Jaejun; Tak, Sungho; et al, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.65, no.9, pp.1985 - 1995, 2018-09

    11
    Unified Theory for Recovery of Sparse Signals in a General Transform Domain

    Lee, Kiryung; Li, Yanjun; Jin, Kyong Hwan; et al, IEEE TRANSACTIONS ON INFORMATION THEORY, v.64, no.8, pp.5457 - 5477, 2018-08

    12
    Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems

    Ye, Jong Chulresearcher; Han, Yoseob; Cha, Eunju, SIAM JOURNAL ON IMAGING SCIENCES, v.11, no.2, pp.991 - 1048, 2018-07

    13
    Image Reconstruction Is a New Frontier of Machine Learning

    Wang, Ge; Ye, Jong Chulresearcher; Mueller, Klaus; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1289 - 1296, 2018-06

    14
    Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT

    Han, Yoseob; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1418 - 1429, 2018-06

    15
    Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network

    Kang, Eunhee; Chang, Won; Yoo, Jaejun; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1358 - 1369, 2018-06

    16
    Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal

    Jin, Kyong Hwan; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.27, no.3, pp.1448 - 1461, 2018-03

    17
    Topological sensitivity based far-field detection of elastic inclusions

    Abbas, Tasawar; Khan, Shujaat; Sajid, Muhammad; et al, RESULTS IN PHYSICS, v.8, pp.442 - 460, 2018-03

    18
    Alteration in the local and global functional connectivity of resting state networks in Parkinson’s disease

    Ghahremani, Maryam; Yoo, Jaejun; Chung, Sun Ju; et al, Journal of Movement Disorders, v.11, no.1, pp.13 - 23, 2018-01

    19
    Beyond Born-Rytov limit for super-resolution optical diffraction tomography

    Lim, JooWon; Wahab, Abdul; Park, GwangSik; et al, OPTICS EXPRESS, v.25, no.24, pp.30445 - 30458, 2017-11

    20
    Translational motion correction algorithm for truncated cone-beam CT using opposite projections

    Gu, Jawook; Bae, Woong; Ye, Jong Chulresearcher, JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, v.25, no.6, pp.927 - 944, 2017-11

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