최장환(崔場煥) 조교수

휴먼기계바이오공학부/바이오정보학협동과정

최장환 프로필 사진
⌨ Artificial Intelligence-driven Biomedical Imaging Lab (AIBI): http://bioe.ewha.ac.kr/
⌨ Intelligent Medical & Vision Research Group: https://imvrgroup.wixsite.com/imvrg

최장환 교수는 기계학습/인공지능, X선기반 차세대 의료영상 시스템을 활용하여 병변을 진단/치료하는 기술 및 관련 의료기기 개발 관련 융복합 연구를 수행하고 있다. Stanford University (미국, Palo Alto)에서 “C-arm CT 기반 Weight-bearing CT 개발”에 관한 연구 주제로 박사학위를 취득했다. 그 후, Stanford 의과대학 박사후과정 (Postdoctoral Research Fellow) 중에는 Weight-bearing CT와 근골격계 모델링 (Musculoskeletal Modeling)을 활용하여 기계적인 원인에 의해 발병하는 무릎질환들 (골관절염, 슬개대퇴증후군)에 대한 진단 및 치료 기술을 개발하여, 정형학외과 분야에서 가장 권위 있는 국제 학회인 Orthopaedic Research Society에서 젊은연구자상 (New Investigator Recognition Award)을 수상하였다.
  • 연구협력관 357호
  • 02-3277-6945
  • 면담 가능시간
    • 이메일 후 스케쥴
  • 연구관심분야
    • 인공지능/기계학습, 빅데이터, 딥러닝 기반 바이오/의료영상처리, 바이오인포메틱스, 헬스케어 의료기기
연구실적
  • A learning-based material decomposition pipeline for multi-energy x-ray imaging MEDICAL PHYSICS, 2019, v.46 no.2, 689-703
    SCI SCIE Scopus dColl.
  • Automated stitching of microscope images of fluorescence in cells with minimal overlap Micron, 2019, v.126, 102718
    SCI SCIE Scopus dColl.
  • Real-time tumor motion tracking in 3D using planning 4D CT images during image-guided radiation therapy Algorithms, 2018, v.11 no.10, 155
    Scopus dColl.
  • Assessment of a photon-counting detector for a dual-energy C-arm angiographic system Medical Physics, 2017, v.44 no.11, 5938-5948
    SCI SCIE Scopus dColl.
  • Fully automated nipple detection in digital breast tomosynthesis Computer Methods and Programs in Biomedicine, 2017, v.143, 113-120
    SCI SCIE Scopus dColl.
  • Scatter correction using a primary modulator on a clinical angiography C-arm CT system MEDICAL PHYSICS, 2017, v.44 no.9, E125-E137
    SCI SCIE Scopus dColl.
  • Interventional dual-energy imaging-Feasibility of rapid kV-switching on a C-arm CT system MEDICAL PHYSICS, 2016, v.43 no.10, 5537-5546
    SCI SCIE Scopus dColl.
  • Marker-free motion correction in weight-bearing cone-beam CT of the knee joint MEDICAL PHYSICS, 2016, v.43 no.3, 1235-1248
    SCI SCIE Scopus dColl.
  • [학술지논문] A learning-based material decomposition pipeline for multi-energy x-ray imaging MEDICAL PHYSICS, 2019, v.46 no.2 , 689-703
    SCI
  • [학술지논문] Automated stitching of microscope images of fluorescence in cells with minimal overlap MICRON, 2019, v.126 no.0 , 102718-102718
    SCI
  • [학술지논문] 의료영상 기반 암 예후 예측 AI 기술 최신동향 정보와 통신, 2019, v.36 no.4 , 10-18
  • [학술지논문] A Method for Generating Synthetic Mammograms using Information from Digital Breast Tomosynthesis (DBT) Images INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2018, v.13 no.1 , 165-166
    SCIE
  • [학술지논문] Assessment of a photon-counting detector for a dual-energy C-arm angiographic system MEDICAL PHYSICS, 2017, v.44 no.11 , 5938-5948
    SCI
  • [학술지논문] Comparison of Different Approaches for Measuring Tibial Cartilage Thickness JOURNAL OF INTEGRATIVE BIOINFORMATICS, 2017, v.14 no.2 , 1-10
    Scopus
  • [학술지논문] Fully automated nipple detection in digital breast tomosynthesis COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2017, v.143 no.0 , 113-120
    SCI
  • [학술지논문] Scatter correction using a primary modulator on a clinical angiography C-arm CT system MEDICAL PHYSICS, 2017, v.44 no.9 , 125-137
    SCI
  • [학술지논문] Interventional dual-energy imaging-Feasibility of rapid kV-switching on a C-arm CT system MEDICAL PHYSICS, 2016, v.43 no.10 , 5537-5546
    SCI
  • [학술지논문] Kinect-based correction of overexposure artifacts in knee imaging with C-Arm CT systems International Journal of Biomedical Imaging, 2016, v.2016 no.1 , 1-15
    Scopus
  • [학술지논문] Marker-free motion correction in weight-bearing cone-beam CT of the knee joint MEDICAL PHYSICS, 2016, v.43 no.3 , 1235-1248
    SCI
  • [학술지논문] Dynamic detector offsets for field of view extension in C-arm computed tomography with application to weight-bearing imaging MEDICAL PHYSICS, 2015, v.42 no.5 , 2718-2729
    SCI
  • [학술지논문] Practical dose point-based methods to characterize dose distribution in a stationary elliptical body phantom for a cone-beam C-arm CT system MEDICAL PHYSICS, 2015, v.42 no.8 , 4920-4932
    SCI
  • [학술지논문] Fiducial marker-based correction for involuntary motion in weight-bearing C-arm CT scanning of knees. II. Experiment MEDICAL PHYSICS, 2014, v.41 no.6 , 061902-1-061902-16
    SCI
  • [학술지논문] CONRAD—A software framework for cone-beam imaging in radiology MEDICAL PHYSICS, 2013, v.40 no.11 , 111914-1-111914-8
    SCI
  • [학술지논문] Fiducial marker-based correction for involuntary motion in weight-bearing C-arm CT scanning of knees. Part I. Numerical model-based optimization MEDICAL PHYSICS, 2013, v.40 no.9 , 091905-1-091905-12
    SCI
  • [학술발표] Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee MICCAI 2020, 페루, 2020-10-04 International Conference on Medical image computing and computer-assisted intervention, 2020
  • [학술발표] NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results Conference on Computer Vision and Pattern Recognition, 미국, 2020-06-13 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
  • [학술발표] Deep Convolutional Neural Network-Based Automated Lesion Detection in Wireless Capsule Endoscopy The International Forum on Medical Imaging in Asia (IFMIA), 싱가폴, 싱가폴, 2019-01-07 The PROCEEDINGS of The Joint 2019 International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia, 2019
  • [학술발표] Differential phase contrast imaging using the phase retrieval of Hilbert Transform and noise filtering by low rank method The International Forum on Medical Imaging in Asia (IFMIA), 싱가폴, 싱가폴, 2019-01-07 The PROCEEDINGS of The Joint 2019 International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia, 2019
  • [학술발표] Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT Bildverarbeitung für die Medizin 2020, 독일, Berlin, 2019-12-15 Bildverarbeitung für die Medizin 2020, 2019
  • [학술발표] Multidimensional Noise Reduction in C-arm Cone-beam CT via 2D-based Landweber Iteration and 3D-based Deep Neural Networks SPIE Medical Imaging 2019, 미국, 샌디에고, 2019-02-17 Medical Imaging 2019: Physics of Medical Imaging, PROCEEDINGS VOLUME 10948, 2019
  • [학술발표] Noise Reduction Methods in Low-dose CT Data Combining Neural Networks and an Iterative Reconstruction Technique The International Forum on Medical Imaging in Asia (IFMIA), 싱가폴, Singapore, 2019-01-07 The PROCEEDINGS of The Joint 2019 International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia, 2019
  • [학술발표] Noise Reduction Method in Low-dose CT Data Combining Neural Networks and An Iterative Reconstruction Technique 제4회 바이오영상신호처리 여름학교 바이오의료영상 딥러닝, 대한민국, 서울, 2018-08-30 제4회 바이오영상신호처리 여름학교, 2018
  • [학술발표] Precision Learning: Towards Use of Known Operators in Neural Networks International Conference on Pattern Recognition, 중국, 2018-08-21 24rd International Conference on Pattern Recognition (ICPR), 2018, 183-188
강의
  • 2020-1학기

    • 융합캡스톤디자인I

      • 학수번호 38588분반 01
      • 4학년 ( 3학점 , 4.5시간) 화 5~5 (공대강당) , 목 6~7 (공대강당)
    • 기초전산공학

      • 학수번호 38657분반 01
      • 2학년 ( 3학점 , 3시간) 화 4~4 (공학A125) , 금 5~5 (공학A125)
      • 영어강의
    • 딥러닝과바이오의료영상

      • 학수번호 G17650분반 01
      • 학년 ( 3학점 , 3시간) 목 4~5 (공학)
  • 2019-2학기

    • 통계적학습이론

      • 학수번호 38586분반 01
      • 2학년 ( 3학점 , 3시간) 수 6~6 (공학) , 금 4~4 (161)
      • 영어강의
    • 의학영상처리

      • 학수번호 38601분반 01
      • 3학년 ( 3학점 , 3시간) 월 5~5 (공학A107) , 수 4~4 (공학A107)
  • 2019-1학기

    • 기초전산공학

      • 학수번호 38657분반 01
      • 2학년 ( 3학점 , 3시간) 월 6~6 (공학A125) , 수 5~5 (공학A125)
      • 영어강의
    • 컴퓨터단층영상과딥러닝

      • 학수번호 G17673분반 01
      • 학년 ( 3학점 , 3시간) 금 5~6 (공학)
  • 2018-2학기

    • 통계적학습이론

      • 학수번호 38586분반 01
      • 2학년 ( 3학점 , 3시간) 화 6~6 (공학) , 목 4~4 (159)
      • 영어강의
    • 딥러닝과바이오의료영상

      • 학수번호 G17650분반 01
      • 학년 ( 3학점 , 3시간) 금 3~4 (공학)
  • 2018-1학기

    • 수치해석

      • 학수번호 20642분반 01
      • 2학년 ( 3학점 , 3시간) 수 6~6 (공학A101) , 금 4~4 (공학A101)
      • 언어변경,ABEEK 컴퓨터공학과 3학년 전공기초필수
    • 기초전산공학

      • 학수번호 38657분반 02
      • 2학년 ( 3학점 , 3시간) 월 5~5 (공학A125) , 수 4~4 (공학A125)
      • 영어강의,ABEEK
  • 2017-2학기

    • 미분적분학

      • 학수번호 20406분반 03
      • 1학년 ( 3학점 , 3시간) 월 7~7 (종) , 목 7~7 (101)
      • 영어강의,ABEEK 자연대 및 엘텍공대
    • 공학제도

      • 학수번호 38558분반 02
      • 1학년 ( 2학점 , 2시간) 목 4~5 (공학)
      • 영어강의,ABEEK
  • 2017-1학기

    • 컴퓨터프로그래밍및실습 강의 계획서 상세보기

      • 학수번호 36339분반 01
      • 1학년 ( 3학점 , 3시간) 월 7~7 (공학A102) , 목 7~7 (공학A125)
      • 교수결정,ABEEK 삼성전자 SW, 수강대상: 휴먼기계바이오공학부 1학년
    • 응용수학및연습

      • 학수번호 36563분반 02
      • 2학년 ( 4학점 , 4.5시간) 월 5~5 (공학) , 수 4~5 (159)
      • 교수변경,교수결정,영어강의,ABEEK 화학신소재공학과 2학년 수강
학력

Stanford University Ph.D.(Mechanical Engineering)