Publications

2023

  1. ER
    Deep Learning Referral Suggestion and Tumour Discrimination using Explainable Artificial Intelligence applied to Multiparametric MRI
    Hyungseob Shin*, Ji Eun Park*, Yohan Jun, and 9 more authors
    European Radiology (In press), 2023
    (JCR2021 IF=7.034)
  2. ER
    Intelligent Noninvasive Meningioma Grading with a Fully Automatic Segmentation using Interpretable Multiparametric Deep Learning
    Yohan Jun*, Yae Won Park*, Hyungseob Shin*, and 7 more authors
    European Radiology, 2023
    (JCR2021 IF=7.034)
  3. CVPR
    SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation
    Hyungseob Shin*, Hyeongyu Kim*, Sewon Kim, and 3 more authors
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    (Acceptance rate ≈ 25.78% (2360/9155))
  4. MedIA
    CrossMoDA 2021 Challenge: Benchmark of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation
    Reuben Dorent, Aaron Kujawa, Marina Ivory, and 8 more authors
    Medical Image Analysis, 2023
    (JCR2021 IF=13.828)

2022

  1. arXiv
    COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training
    Hyungseob Shin*, Hyeongyu Kim*, Sewon Kim, and 3 more authors
    arXiv preprint arXiv:2203.16557, 2022

2021

  1. CVPR
    Joint Deep Model-based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI
    Yohan Jun, Hyungseob Shin, Taejoon Eo, and 1 more author
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    (Acceptance rate ≈ 23.70% (1663/7015))
  2. MedIA
    Deep Model-based Magnetic Resonance Parameter Mapping Network (DOPAMINE) for Fast T1 Mapping using Variable Flip Angle Method
    Yohan Jun, Hyungseob Shin, Taejoon Eo, and 2 more authors
    Medical Image Analysis, 2021
    (JCR2020 IF=8.545)
  3. RSNA
    Explainable and fully automated clinical referral suggestion for mass like lesions in brain using multi-contrast MRI
    Hyungseob Shin*, Ji Eun Park*, Yohan Jun, and 2 more authors
    In The 107th Radiological Society of North America (RSNA) Annual Meeting, 2021
    Digital Poster Presentation
  4. MLMIR
    Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge
    Patricia M Johnson, Geunu Jeong, Kerstin Hammernik, and 8 more authors
    In Machine Learning for Medical Image Reconstruction: 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings 4, 2021
  5. IEEE TMI
    Results of the 2020 fastMRI challenge for machine learning MR image reconstruction
    Matthew J Muckley, Bruno Riemenschneider, Alireza Radmanesh, and 8 more authors
    IEEE Transactions on Medical Imaging, 2021
  6. ISMRM
    Joint reconstruction of MR image and coil sensitivity maps using deep model-based network
    Yohan Jun, Hyungseob Shin, Taejoon Eo, and 1 more author
    In Proceedings of the 29th Annual Meeting of ISMRM, virtual meeting held online, 2021

2020

  1. MedIA
    Accelerating Cartesian MRI by Domain-Transform Manifold Learning in Phase-Encoding Direction
    Taejoon Eo*, Hyungseob Shin*, Yohan Jun, and 2 more authors
    Medical Image Analysis, 2020
    (JCR2019 IF=11.148)
  2. arXiv
    State-of-the-art machine learning MRI reconstruction in 2020: Results of the second fastMRI challenge
    Matthew J Muckley, Bruno Riemenschneider, Alireza Radmanesh, and 8 more authors
    arXiv preprint arXiv:2012.06318, 2020
  3. JKSR
    The Latest Trends in Attention Mechanisms and Their Application in Medical Imaging.
    Hyungseob Shin*, Jeongryong Lee*, Taejoon Eo, and 3 more authors
    Journal of the Korean Society of Radiology, 2020
  4. ISMRM
    Deep Model-based MR Parameter Mapping Network (DOPAMINE) for Fast MR Reconstruction
    Yohan Jun, Hyungseob Shin, Taejoon Eo, and 2 more authors
    In Proceedings of the 28th Annual Meeting of International Society of Magnetic Resonance in Medicine, 2020

2019

  1. MRM
    Parallel imaging in time-of-flight magnetic resonance angiography using deep multistream convolutional neural networks
    Yohan Jun, Taejoon Eo, Hyungseob Shin, and 3 more authors
    Magnetic Resonance in Medicine, 2019

2018

  1. Sci. Rep.
    Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors
    Yohan Jun, Taejoon Eo, Taeseong Kim, and 7 more authors
    Scientific Reports, 2018
  2. MICCAI
    Translation of 1d inverse fourier transform of k-space to an image based on deep learning for accelerating magnetic resonance imaging
    Taejoon Eo, Hyungseob Shin, Taeseong Kim, and 2 more authors
    In Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018