• mkim180@pusan.ac.kr
  • 49, Busandaehak-ro, Yangsan-si, South Korea
Journals

Under Review

  1. "Learned Image Compression and Restoration for Digital Pathology"
    SeonYeong Lee†, EonSeung Seong†, DongEon Lee, SiYeoul Lee, Yubin Cho, Chunsu Park, Seonho Kim, MinKyung Seo, YoungSin Ko, MinWoo Kim*
    Under Review
  2. "Deep Learning–based Real-time Guidance For Endotracheal Intubation"
    Jiye Kim, EonSeung Seong, Ashok Kambaluru, MinWoo Kim, Dong-Kyu Lee, Tae Kyun Kim*
    Under Review

Peer-reviewed Journal Papers

  1. "Ultrasound Microvascular Imaging using Deep Knowledge Distillation"
    Seonho Kim†, Chunsu Park†, Yubin Cho, MinWoo Kim*
    Ultrasonic Imaging, 2026.03
  2. "Discovery of Peripheral Airway Beyond Incomplete CT Annotations for Navigational Bronchoscopy"
    SiYeoul Lee†, Minkyung Seo†, Jiye Kim, Hyeyun Lee, EonSeung Seong, DongEon Lee, DoHyung Kim, YeonJoo Jeong, HeeYun Seol*, MinWoo Kim*
    IEEE Transactions on Medical Image, 2026.03
  3. "Deep Learning-based Artifact Reduction: Radiologist and AI Classifier Evaluation of Dual-Energy CT Image Quality in Femoral Bone Marrow Edema"
    Hyeyun Lee†, Chunsu Park†, Majid Chalian, MinWoo Kim, Chankue Park*
    European Journal of Radiology Artificial Intelligence, 2026.03
  4. "Deep Learning-based Segmentation in Musculoskeletal Imaging: A Review of Research Trends"
    Chunsu Park†, Hyeyun Lee†, MinWoo Kim, Chankue Park*
    Journal of the Korean Society of Radiology, 2025.09
  5. "Enhancing Free-hand 3D Photoacoustic and Ultrasound Reconstruction using Deep Learning"
    SiYeoul Lee, Seonho Kim, Minkyung Seo, SeongKyu Park, Salehin Imrus, Kambaluru Ashok, DongEon Lee, Chunsu Park, SeonYeong Lee, Jiye Kim, JaeHeung Yoo, MinWoo Kim*
    IEEE Transactions on Medical Imaging, 2025.06
  6. "W-DRAG: A Joint Framework of WGAN with Data Random Augmentation Optimized for Generative Networks for Bone Marrow Edema Detection in Dual Energy CT"
    Chunsu Park, JeongWoon Kang, DongEon Lee, Wookon Son, SangMin Lee, Chankue Park, MinWoo Kim*
    Computerized Medical Imaging and Graphics, 2024.07
  7. "Review of Deep Learning Approaches for Interleaved Photoacoustic and Ultrasound (PAUS) Imaging"
    MinWoo Kim*, Ivan Pelivanov, Matthew O’Donnell
    IEEE Transactions on UFFC, 2023.11
  8. "Comparative Study of Lumbar Bone Mineral Content using DXA and CT Hounsfield Unit Values in Chest CT"
    DongHa Lee, MinWoo Kim*
    BMC Musculoskeletal Disorders, 2023.02
  9. "Prediction of Bone Mineral Density in CT using Deep Learning with Explainability"
    JeongWoon Kang, Chunsu Park, DongEon Lee, JaeHeung Yoo and MinWoo Kim*
    Frontiers in Physiology, 2023.01
  10. "Estimation of Bone Mineral Density in the Femoral Neck and Lumbar Spine using Texture Analysis of Chest and Pelvis Computed Tomography Hounsfield Unit."
    Youngkyung Min, DongHa Lee, JaeHeung Yoo, ManJun Park, JungWook Huh and MinWoo Kim*
    Current Medical Imaging, 2022.11
  11. "Deep Learning-Enhanced Parallel Imaging and Simultaneous Multislice Acceleration Reconstruction in Knee MRI"
    MinWoo Kim, SangMin Lee, Chankue Park*, Dongeon Lee, KangSoo Kim, HeeSeok Jeong, Shinyoung Kim, MinHyeok Choi and Dominik Nickel
    Investigative Radiology, 2022.07
  12. "Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT"
    Wookon Son*, MinWoo Kim*, JaeYeon Hwang, YoungWoo Kim, Chankue Park, KiSeok Choo, TaeUn Kim, and JooYeon Jang
    Korean Journal of Radiology, 2022.05
  13. "Diagnostic Performance for Detecting Bone Marrow Edema of the Hip on Dual-Energy CT: Deep Learning Model vs. Musculoskeletal Physicians and Radiologists"
    Chunsu Park, MinWoo Kim, Chankue Park*, Wookon Son, SangMin Lee, HeeSeok Jeong, JeongWoon Kang and MinHyeok Choi
    European journal of radiology, 2022.05
  14. ”A Deep Convolutional Neural Network for Estimating Hemodynamic Response Function with Reduction of Motion Artifacts in fNIRS" svg>
    MinWoo Kim, Seonjin Lee, Ippeita Dan, and Sungho Tak*
    Journal of Neural Engineering, 2022.02
  15. ”Real-time Interleaved Spectroscopic Photoacoustic and Ultrasound (PAUS) Scanning with Simultaneous Fluence Compensation and Motion Correction"
    GengShi Jeng, MengLin Li, MinWoo Kim, SoonJoon Yoon, John J. Pitre Jr, David S. Li, Ivan Pelivanov, and Matthew O’Donnell*
    Nature Communications, 2021.01
  16. "Spatially Localized Sono-Photoacoustic Activation of Phase-Change Contrast Agents"
    David S. Li, GengShi Jeng, John J. Pitre Jr, MinWoo Kim, Lilo D. Pozzo, and Matthew O’Donnell*
    Photoacoustics, 2020.12
  17. “Correction of Wavelength-dependent Laser Fluence in Swept-beam Spectroscopic Photoacoustic Imaging with a Hand-held Probe”
    MinWoo Kim*, GengShi Jeng, Matthew O’Donnell, and Ivan Pelivanov
    Photoacoustics, 2020.09
  18. "Deep-learning Image Reconstruction for Real-time Photoacoustic System"
    MinWoo Kim*, GengShi Jeng, Ivan Pelivanov, and Matthew O’Donnell
    IEEE Transactions on Medical Image, 2020.05
  19. “Experimental Validation of Perfusion Imaging with HOSVD Clutter Filters”
    Yang Zhu, MinWoo Kim, Cameron Hoerig, and Michael F. Insana*
    IEEE Transactions on UFFC, 2020.04
  20. “Imaging the Landmarks of Vascular Recovery”
    Jamila Hedhli†*, MinWoo Kim†, Hailey J Knox, John A Cole, Than Huynh, Matthew Schuelke, Iwona T Dobrucki, Leszek Kalinowski, Jefferson Chan, Albert J Sinusas, Michael F Insana, and Lawrence W Dobrucki*
    Theranostics, 2020.01
  21. “Multi-dimensional Clutter Filter Optimization for Ultrasonic Perfusion Imaging”
    MinWoo Kim, Yang Zhu, Jamila Hedhli, Lawrence W. Dobrucki, and Michael F. Insana*
    IEEE Transactions on UFFC, 2018.11
  22. “Expanding Acquisition and Clutter Filter Dimensions for Improved Perfusion Sensitivity”
    MinWoo Kim*, Craig K. Abbey, Jamila Hedhli, Lawrence W. Dobrucki, and Michael F. Insana
    IEEE Transactions on UFFC, 2017.10
  23. “Efficiency of US Tissue Perfusion Estimators”
    MinWoo Kim*; Craig K. Abbey; Michael F. Insana
    IEEE Transactions on UFFC, 2016.08
  24. “Sparsity Driven Metal Part Reconstruction for Artifact Removal in Dental CT”
    Jiyoung Choi, KyungSang Kim, MinWoo Kim, Won Seong, and JongChul Ye*
    Journal of X-ray Science and Technology, 2011.10

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