서현석 선임연구원

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02-958-5698

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seo@kist.re.kr

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선임연구원

U U

주요연구분야

  • KAIST, Electrical Engineering, Ph.D. (2012 ~ 2017)
  • KAIST, Electrical Engineering, M.S. (2011 ~ 2012)
  • Korea University, Electrical Engineering, S. (2007 ~ 2011)
  • KIST, Senior Research Scientist (2020 ~)
  • Stanford University, Postdoctoral Scholar (2018 ~ 2020)
  • Samsung Electronics, Staff Researcher (2016 ~ 2020)

AI, Machine Learning, Deep Learning, Digital Signal Processing, Digital Image Processing, Biomedical Imaging, Computer Vision, MRI Pulse Sequence

○ 논문

  1. Seo, H., Huang C., Bassenne M., Xiao R., Xing L. (2020). Modified U‐Net (mU‐Net) with Incorporation of Object‐Dependent High Level Features for Improved Liver and Liver‐Tumor Segmentation in CT Images. IEEE Transactions on Medical Imaging.
  2. Seo, H., Khuzani MB., Vasdevan V., Huang C., Xiao R., Xing L. (2020). Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State‐of‐Art Applications. Medical Physics.
  3. {Seo, H., Kim, J.}, So S., and Park HW. (2018). A Multi‐Contrast Imaging Method Using Steady‐State Free Precession with Alternating RF Flip Angles. Magnetic Resonance in Medicine.
  4. Seo, H., Kim,D., Oh, C., and Park, HW. (2017). Self‐Gated Cardiac Cine Imaging Using Phase Information. Magnetic Resonance in Medicine
  5. Seo, H., Choi, J., Oh, C., Han, Y., and Park, HW. (2014). Isotropic diffusion weighting for measurement of high‐resolution apparent diffusion coefficient map using a single radial scan in MRI. Physics in Medicine and Biology.
  6. Seo, H., and Park, HW. (2013). A Novel Detection Method of Periodically Moving Region in Radial MRI. IEIE Transactions on Smart Processing and Computing.
  7. So, S., Seo, H., Park, HW. (2020). A locally segmented reconstruction method for parallel imaging. Magnetic Resonance in Medicine.
  8. Kim, B., Seo, H., Kim, D., and Park HW. (2018). A Simultaneously Acquired Navigator for Cardiac Cine MRI. NMR in Biomedicine.
  9. Kim, D., Seo, H., Cho, J., Kwon K., and Park HW. (2017). Non‐Contrast‐Enhanced Peripheral MR Angiography using Velocity‐Selective Excitation. Magnetic Resonance in Medicine.
  10. Kim, D., Seo, H., Oh, C., Han, Y., and Park, HW. (2016). Multi‐slice imAGe generation using intra‐slice parallel imaging and inter‐slice shifting (MAGGULLI). Physics in Medicine and Biology.
  11. Choi, J., Seo, H., Lim, Y., Han, Y., and Park HW. (2015). Sliding TOF: Sliding time of flight MR angiography using a dynamic image reconstruction method. Magnetic Resonance in Medicine.
  12. Jia X., Mai X., Cui Y., Yuan Y., Xing X., Seo H., Xing L., Meng M.Q.-H. Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. (2020). IEEE Transactions on Automation Science and Engineering.

○ 특허

  1. Seo H., Lee D., Kim J. Magnetic resonance imaging apparatus and method of generating magnetic resonance image (US Patent App. 16/033,387)
  2. Seo H., Park HW., Kim J., Lee DH. Magnetic resonance imaging apparatus and method of generating magnetic resonance image. (US Patent App. 16/105,096)
  3. Park HW., Seo H. Method and apparatus for generating magnetic resonance image. (US Patent App. 16/304,505)
  4. Park HW., Seo H. Magnetic resonance imaging apparatus and method. (US Patent App. 15/166,653)
  5. Park HW., Seo H. Magnetic resonance imaging (mri) apparatus and method of generating mr image (US Patent App. 15/079,671)
  6. Jo JM., Park HW., Seo H. Resonance imaging apparatus and diffusion weighted image acquiring method thereof.(US Patent App. 13/898,603)
  7. Lee DH., Park HW., Kwon K, Seo H. Magnetic resonance imaging apparatus and method of reconstructing mr image by using neural network. (US Patent App. 15/997,074)
  8. Kim YB., Park HW., Kim D., Seo H., Kwon K., Cho J. Magnetic resonance imaging apparatus and method. (US Patent App. 15/347,906)
  9. Park HW., Kim D., Oh C., Seo H. Magnetic resonance imaging apparatus and image processing method thereof. (US Patent App. 14/965,959)
  1. Grand prize. 2016 Samsung Humantech Paper Award, Samsung Electronics.

– The first Grand prize in the award’s 22 years of history.

– The largest paper competition by Samsung Electronics for graduate students.

  1. Awarded KAIST Breakthroughs of fall 2017 (One of the most outstanding researches in College of Engineering, KAIST).
  2. Silver prize. 2017 Samsung Best Paper Award, Samsung Electronics.

– Annual paper competition for all researchers and engineers in Samsung Group.

  1. Awarded full sponsorship for postdoc., Samsung Electronics.