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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
    Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution

    Cha, Eunju; Chung, Hyungjin; Kim, Eung Yeop; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.1, pp.166 - 179, 2021-01

    2
    AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising

    Gu, Jawook; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.7, pp.73 - 85, 2021-01

    3
    Deep learning for tomographic image reconstruction

    Wang, Ge; Ye, Jong Chulresearcher; De Man, Bruno, NATURE MACHINE INTELLIGENCE, v.2, no.12, pp.737 - 748, 2020-12

    4
    Artificial Intelligence in Health Care: Current Applications and Issues

    Park, Chan-Woo; Seo, Sung Wook; Kang, Noeul; et al, JOURNAL OF KOREAN MEDICAL SCIENCE, v.35, no.42, 2020-11

    5
    Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging

    Monga, Vishal; Acton, Scott T.; Seghouane, Abd-Krim; et al, IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, v.14, no.6, pp.1068 - 1071, 2020-10

    6
    Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

    Oh, Yujin; Park, Sangjoon; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.39, no.8, pp.2688 - 2700, 2020-08

    7
    Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound

    Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, v.67, no.8, pp.1558 - 1572, 2020-08

    8
    Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN

    Oh, Gyutaek; Sim, Byeongsu; Chung, HyungJin; et al, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.6, pp.1285 - 1296, 2020-08

    9
    Development of digital breast tomosynthesis and diffuse optical tomography fusion imaging for breast cancer detection

    Chae, Eun Young; Kim, Hak Hee; Sabir, Sohail; et al, SCIENTIFIC REPORTS, v.10, no.1, 2020-08

    10
    Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

    Kim, Byung-Hoon; Ye, Jong Chulresearcher, FRONTIERS IN NEUROSCIENCE, v.14, 2020-06

    11
    Deep Learning Diffuse Optical Tomography

    Yoo, Jaejun; Sabir, Sohail; Heo, Duchang; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.39, no.4, pp.877 - 887, 2020-04

    12
    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

    13
    Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning

    Jacob, Mathews; Mani, Merry P.; Ye, Jong Chulresearcher, IEEE SIGNAL PROCESSING MAGAZINE, v.37, no.1, pp.54 - 68, 2020-01

    14
    MumfordShah Loss Functional for Image Segmentation With Deep Learning

    Kim, Boah; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.29, pp.1856 - 1866, 2020-01

    15
    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

    16
    Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks

    Lee, Dongwook; Moon, Won-Jin; Ye, Jong Chulresearcher, NATURE MACHINE INTELLIGENCE, v.2, no.1, pp.34 - 42, 2020-01

    17
    Computational MRI: Compressive Sensing and Beyond

    Jacob, Mathews; Ye, Jong Chulresearcher; Ying, Leslie; et al, IEEE SIGNAL PROCESSING MAGAZINE, v.37, no.1, pp.21 - 23, 2020-01

    18
    Unsupervised Deformable Image Registration Using Polyphase UNet for 3D Brain MRI Volumes

    Antoinette D. Martin; 김보아; 예종철researcher, Investigative Magnetic Resonance Imaging, v.24, no.4, pp.223 - 231, 2020

    19
    One network to solve all ROIs: Deep learning CT for any ROI using differentiated backprojection

    Han, Yoseob; Ye, Jong Chulresearcher, MEDICAL PHYSICS, v.46, no.12, pp.E855 - E872, 2019-12

    20
    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

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