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

2025

  1. "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, Jae-Heung Yoo, MinWoo Kim
    Under review, 2025
  2. "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 (†Co-first Author)
    Under review, 2025

2024

  1. “Convolutional Implicit Neural Representation of pathology whole-slide images”
    DongEon Lee, Chunsu Park, SeonYeong Lee, SiYeoul Lee, MinWoo Kim
    2024 Medical Image Computing and Computer Assisted Intervention, Oct. 2024.
    “CAPTURE-GAN: Conditional Attribute Preservation through Unveiling Realistic Generative Adversarial Networks for artifact removal in dual-energy CT imaging”
    Chunsu Park, Seonho Kim, DongEon Lee, SiYeoul Lee, Kambaluru Ashok, Chankue Park, MinWoo Kim
    2024 Medical Image Computing and Computer Assisted Intervention, Oct. 2024.
    "MSL-Net: Enhancing Free-hand 3D Ultrasound Reconstruction Using Deep Learning for Advanced Clinical Visualization"
    SiYeoul Lee, SeonHo Kim, MinKyung Seo, Ashok Kambaluru, DongEon Lee, Chunsu Park, SeonYeong Lee, Jiye Kim, MinWoo Kim
    2024 IEEE International Ultrasonics Symposium, Sep. 2024.
    "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, Jeong-Woon Kang, Dong-Eon Lee, Wookon Son, Sang-Min Lee, Chankue Park, MinWoo Kim
    Computerized Medical Imaging and Graphics, 2024.07

2023

  1. "Review of deep learning approaches for interleaved photoacoustic and ultrasound (PAUS) imaging"
    MinWoo Kim, Ivan Pelivanov, Matthew O’Donnell
    IEEE UFFC, 2023.11
  2. "Comparative study of lumbar bone mineral content using DXA and CT Hounsfield unit values in chest CT"
    Dong-Ha Lee, MinWoo Kim
    BMC Musculoskeletal Disorders, 2023.02
  3. "Prediction of bone mineral density in CT using deep learning with explainability"
    Jeong-Woon Kang1, Chunsu Park1, Dong-Eon Lee1, Jae-Heung Yoo2 and MinWoo Kim3*
    Frontiers in Physiology, 2023.01
    “딥러닝을 활용한 3차원 초음파 파노라마 영상 복원”
    "3D Ultrasound Panoramic Image Reconstruction using Deep Learning"
    이시열, 김선호, 이동언, 박춘수, 김민우*
    Journal of Biomedical Engineering Research 44: 255-263 (2023)

2022

  1. "Estimation of Bone Mineral Density in the Femoral Neck and Lumbar Spine using Texture Analysis of Chest and Pelvis Computed Tomography Hounsfield Unit."
    Young-kyung Min, Dong-Ha Lee, Jae-Heung Yoo, Man-Jun Park, Jung-Wook Huh and Min Woo Kim*
    Current Medical Imaging, 2022.11
  2. "Deep Learning-Enhanced Parallel Imaging and Simultaneous Multislice Acceleration Reconstruction in Knee MRI"
    Kim, MinWoo PhD∗; Lee, Sang-Min MD, PhD†; Park, Chankue MD, PhD‡; Lee, Dongeon BS∗; Kim, Kang Soo MS§; Jeong, Hee Seok MD‡; Kim, Shinyoung MD‡; Choi, Min-Hyeok MD, PhD¶; Nickel, Dominik PhD∥
    Investigative Radiology, 2022.07
  3. "Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT"
    Wookon Son*, MinWoo Kim*, Jae-Yeon Hwang, Young-Woo Kim, Chankue Park, Ki Seok Choo, Tae Un Kim, and Joo Yeon Jang
    Korean Journal of Radiology, 2022.05
  4. "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, Sang-Min Lee, Hee Seok Jeong, JeongWoon Kang and Min-Hyeok Choi
    European journal of radiology, 2022.05
  5. ”A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS"
    M. Kim, S. Lee, I. Dat and S. Tak
    Journal of Neural Engineering, 2022.
    6. “의료영상 분야를 위한 설명가능한 인공지능 기술 리뷰”
    "A review of Explainable AI Techniques in Medical Imaging"
    이동언, 박춘수, 강정운, 김민우*
    Journal of Biomedical Engineering Research 43: 259-270 (2022)

2021

  1. ”Real-time interleaved spectroscopic photoacoustic and ultrasound (PAUS) scanning with simultaneous fluence compensation and motion correction"
    G. Jeng, M. Li, M. Kim, S, Yoon, J. J. Pitre, D. S. Li, I. Pelivanov and M. O’Donnell
    Nature Communications, vol. 12(1), pp.1-12. Jan. 2021.

2020

  1. "Spatially Localized Sono-Photoacoustic Activation of Phase-Change Contrast Agents"
    D. Li, G. Jeng, J. Pitre, M. Kim, L. Pozzo and M. O'Donnell
    Photoacoustics, 2020.
  2. “Correction of wavelength-dependent laser fluence in swept-beam spectroscopic photoacoustic imaging with a hand-held probe”
    M. Kim*, G. Jeng, I. Pelivanov and M. O’Donnell
    Photoacoustics, 2020. (*Corresponding Author)
  3. "Deep-learning Image Reconstruction for Real-time Photoacoustic System."
    M. Kim*, G. Jeng, I. Pelivanov and M. O’Donnell.
    IEEE TMI, 2020. (*Corresponding Author)
    “Experimental Validation of Perfusion Imaging with HOSVD Clutter filters”
    Zhu, M. Kim and M. F. Insana
    IEEE Transactions on UFFC, 2020.
  4. “Imaging the Landmarks of Vascular Recovery”
    J. Hedhli†, M. Kim†, H. J. Knox, J. A. Cole, T. Huynh, M. Schuelke, I. T. Dobrucki, L. Kalinowski, J. Chan, A. J. Sinusas, M. F. Insana and L. W. Dobrucki
    Theranostics, vol. 10(4), pp.1733-1745, 2020.(†Co-first Author)

Under 2020 ▼

  1. “Advances in Pulsed Doppler Methods for Peripheral Perfusion Imaging”
    M. F. Insana, Y. Zhu, M. Kim and W. L. Dobrucki
    2019 IEEE International Ultrasonics Symposium, Oct. 2019.
  2. “Multi-dimensional Clutter Filter Optimization for Ultrasonic Perfusion Imaging”
    M. Kim, Y. Zhu, J. Hedhli, L. W. Dobrucki, and M. F. Insana
    IEEE Transactions on UFFC, 2018
  3. “Expanding Acquisition and Clutter Filter Dimensions for Improved Perfusion Sensitivity”
    M. Kim*, C. K. Abbey, J. Hedhli, L. W. Dobrucki, and M. F. Insana
    IEEE Transactions on UFFC, vol. 64 (10), 1429-1438, Oct. 2017. (*Corresponding Author)
  4. "Optimal filtering for improved perfusion sensitivity."
    M. Kim, J. Hedhli, L. W. Dobrucki, C. K. Abbey, and Michael F. Insana.
    In 2017 IEEE International Ultrasonics Symposium, pp. 1-4., Sep. 2017.
  5. “Efficiency of US Tissue Perfusion Estimators”
    M. Kim, C. K. Abbey, and M. F. Insana
    IEEE Transactions on UFFC, vol. 63, pp. 1131-1139, Aug. 2016.
  6. “Ultrasound Perfusion Signal Processing for Tumor Detection”
    M. Kim, C. K. Abbey, and M. F. Insana
    SPIE Medical Imaging, April. 2016.
  7. “Perfusion Signal Processing for Optimal Detection Performance”
    C. K. Abbey, M. Kim, and M. F. Insana
    in 2014 IEEE International Ultrasonics Symposium, pp. 2253-2256, Sep. 2014
  8. “Sparsity Driven Metal Part Reconstruction for Artifact Removal in Dental CT”
    J. Choi, K. S. Kim, M. Kim, W. Seong, and J. C. Ye
    Journal of X-ray Science and Technology, vol. 19, pp. 457-475, Oct. 2011.
    "Ab Initio Maximum Likelihood Reconstruction of Helical Macromolecules using Electron Microscopy"
    M. Kim and J. C. Ye
    in Proc. International Symposium on Biomedical Imaging (ISBI), June 2009.
    "Compressed Sensing Metal Artifact Removal in Dental CT"
    J. Y. Choi, M. W. Kim, W. Seong, and J. C. Ye
    in Proc. International Symposium on Biomedical Imaging (ISBI), June 2009.
    "3D Macromolecule Structure Reconstruction from Electron Micrograph by exploiting Symmetry and Sparsity"
    M. W. Kim, J. Y. Choi, and J. C. Ye
    in Proc. SPIE-IS&T Electronic Imaging, Jan. 2008.
    "Cryo-EM Microscopy Single Particle Reconstruction of Virus Particles using Compressed Sensing Theory”
    M. W. Kim, J. Y. Choi, L. Yu, K. E. Lee, S. S. Han, and J. C. Ye
    in Proc. IS&T/SPIE, Computational Imaging, Jan. 2007.

Contact
AMI lab

Collaborators
Amilab © 2021 All Right Reserved