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Ye, Jong Chul (예종철)
교수, Kim Jaechul Graduate School of AI(김재철AI대학원)
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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    Optical coherence tomography in coronary atherosclerosis assessment and intervention

    Araki, Makoto; Seung-Jung Park,; Dauerman, Harold L.; et al, NATURE REVIEWS CARDIOLOGY, v.19, no.10, pp.684 - 703, 2022-10

    2
    Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization

    Oh, Gyutaek; Bae, Hyokyoung; Ahn, Hyun-Seo; et al, MEDICAL IMAGE ANALYSIS, v.79, 2022-07

    3
    Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

    Park, Sangjoon; Kim, Gwanghyun; Oh, Yujin; et al, NATURE COMMUNICATIONS, v.13, no.1, 2022-07

    4
    Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy

    Park, Hyoungjun; Na, Myeongsu; Kim, Bumju; et al, NATURE COMMUNICATIONS, v.13, no.1, 2022-06

    5
    Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective

    Akcakaya, Mehmet; Yaman, Burhaneddin; Chung, Hyungjin; et al, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.28 - 44, 2022-03

    6
    Deep Learning in Biological Image and Signal Processing

    Meijering, Erik; Calhoun, Vince D.; Menegaz, Gloria; et al, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.24 - 26, 2022-03

    7
    Deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison

    Nam, Joon Yeul; Chung, Hyung Jin; Choi, Kyu Sung; et al, GASTROINTESTINAL ENDOSCOPY, v.95, no.2, pp.258 - +, 2022-02

    8
    Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound

    Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.41, no.2, pp.266 - 278, 2022-02

    9
    Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification

    Park, Sangjoon; Kim, Gwanghyun; Oh, Yujin; et al, MEDICAL IMAGE ANALYSIS, v.75, 2022-01

    10
    Unsupervised CT Metal Artifact Learning Using Attention-Guided beta-CycleGAN

    Lee, Junghyun; Gu, Jawook; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.12, pp.3932 - 3944, 2021-12

    11
    CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement

    Gu, Jawook; Yang, Tae Seong; Ye, Jong Chulresearcher; et al, MEDICAL IMAGE ANALYSIS, v.74, 2021-12

    12
    Deep learning-based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study

    Kim, Youngjune; Oh, Dong Yul; Chang, Won; et al, EUROPEAN RADIOLOGY, v.31, no.11, pp.8755 - 8764, 2021-11

    13
    Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation

    Oh, Gyutaek; Lee, Jeong Eun; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.11, pp.3125 - 3139, 2021-11

    14
    Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN

    Yang, Serin; Kim, Eung Yeop; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.11, pp.3015 - 3029, 2021-11

    15
    Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN

    Chung, Hyungjin; Ye, Jong Chulresearcher, NATURE MACHINE INTELLIGENCE, v.3, no.10, pp.861 - 863, 2021-10

    16
    Optical Coherence Tomography of Plaque Erosion JACC Focus Seminar Part 2/3

    Kolte, Dhaval; Yonetsu, Taishi; Ye, Jong Chulresearcher; et al, JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, v.78, no.12, pp.1266 - 1274, 2021-09

    17
    Unsupervised Denoising for Satellite Imagery Using Wavelet Directional CycleGAN

    Song, Joonyoung; Jeong, Jae-Heon; Park, Dae-Soon; et al, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v.59, no.8, pp.6823 - 6839, 2021-08

    18
    Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain

    Chung, Hyungjin; Huh, Jaeyoung; Kim, Geon; et al, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.7, pp.747 - 758, 2021-07

    19
    CycleMorph: Cycle consistent unsupervised deformable image registration

    Kim, Boah; Kim, Dong Hwan; Park, Seong Ho; et al, MEDICAL IMAGE ANALYSIS, v.71, 2021-07

    20
    Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data

    Chung, Hyungjin; Cha, Eunju; Sunwoo, Leonard; et al, MEDICAL IMAGE ANALYSIS, v.71, 2021-07

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