메뉴 바로가기
주메뉴 바로가기
컨텐츠 바로가기

교수진

  • HOME    >
  •   구성원    >
  •   교수진   

교수 상세정보

임홍기 조교수

  •   소속전자공학과
  •   직급조교수
  •   이메일hklim@inha.ac.kr
  •   연구실명
  •   연구실전화032-860-7426
  •   임용일자
  •   세부전공신호처리 및 기계학습

학력

  • 2012.08 인하대학교(학사)/전자공학과
    2018.12 Univ. of Michigan(석사)/전기및컴퓨터공학과
    2020.05 Univ. of Michigan(박사)/전기및컴퓨터공학과

경력

  • 2012.07 ~ 2015.01 삼성전자 (System LSI 사업부 전략기획팀 기술기획그룹) 사원
    2020.09 ~ 2022.02 Siemens Healthineers (Digital Technology&Innovation Center) Senior AI scientist

연구업적

학위논문

주요학술논문

  • Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 45권,4호, pp. 4915~4931, 2023
    A deep neural network for fast and accurate scatter estimation in quantitative SPECT/CT under challenging scatter conditions, EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 47권,13호, pp. 2956~2967, 2020
    Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network, IEEE TRANSACTIONS ON MEDICAL IMAGING, 39권,11호, pp. 3512~3522, 2020
    Y-90 SPECT ML image reconstruction with a new model for tissue-dependent bremsstrahlung production using CT information: a proof-of-concept study, PHYSICS IN MEDICINE AND BIOLOGY, 63권,11호, 2018
    A PET reconstruction formulation that enforces non-negativity in projection space for bias reduction in Y-90 imaging, PHYSICS IN MEDICINE AND BIOLOGY, 63권,3호, 2018

주요학술저서

북 챕터

특허

서훈/표창/수상