최장환(崔場煥) 부교수

인공지능학과 /시스템헬스융합전공[대학원]

최장환 프로필 사진
⌨ Medical AI & Computer Vision Lab : http://bioe.ewha.ac.kr/

최장환 교수는 기계학습/인공지능 기반 Computer vision, Data-informatics 관련 연구에 특화된 Medical AI & Computer Vision Lab의 PI를 맡고 있다. 현재 Medical AI Lab은 중견연구, BK21플러스, 기초연구실(BRL), 범부처의료기기지원사업, 바이오의료기술개발사업 등 다양한 정부 사업을 통해 연구비를 지원받고 있으며, 다양한 국내외 유수의 산학연 협력연구 기관들과 함께 메디컬 빅데이터를 활용한 AI 기반 의료기기 개발 관련 융복합 연구를 활발히 수행하고 있다. Stanford University (미국, Palo Alto)에서 “다자유도 Robotics 기술 기반 Weight-bearing C-arm CT 개발”에 관한 연구 주제로 박사학위를 취득했다. 그 후, Stanford 의과대학 박사후과정 (Postdoctoral Research Fellow) 중에는 세계 최초로 임상에 적용 가능한 Weight-bearing CT 시스템을 성공적으로 개발하면서, 정형학외과 분야에서 가장 권위 있는 국제 학회인 Orthopaedic Research Society에서 젊은연구자상 (New Investigator Recognition Award)을 수상하였다.
  • 인공지능학과장
  • 이화캠퍼스복합단지 B114호
  • 02-3277-6945
  • 면담 가능시간
    • 이메일 후 스케쥴
  • 연구관심분야
    • 인공지능/기계학습, 컴퓨터 비전, 데이터인포메틱스, 딥러닝 기반 바이오/의료영상처리, 스마트헬스케어
연구실적
  • [학술지논문] An Unsupervised Two-step Training Framework for Low-dose Computed Tomography Denoising MEDICAL PHYSICS, 2023, v.1 no.1 , 1-18
    SCIE
  • [학술지논문] Efficient Deep-detector Image Quality Assessment Based on Knowledge Distillation IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, v.1 no.1 , 1-16
    SCIE
  • [학술지논문] MM-Net: Multiframe and Multimask-Based Unsupervised Deep Denoising for Low-Dose Computed Tomography IEEE Transactions on Radiation and Plasma Medical Sciences, 2023, v.7 no.3 , 296-306
    Scopus
  • [학술지논문] Unsupervised Visual Representation Learning Based on Segmentation of Geometric Pseudo-Shapes for Transformer-Based Medical Tasks IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, v.27 no.4 , 2003-2014
    SCIE
  • [학술지논문] MFA-net: Object detection for complex X-ray cargo and baggage security imagery PLOS ONE, 2022, v.17 no.9 , 0272961-0272961
    SCIE
  • [학술지논문] No-reference perceptual CT image quality assessment based on a self-supervised learning framework MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2022, v.3 no.4 , 045033-045033
    SCI
  • [학술지논문] Object detectors involving a NAS-gate convolutional module and capsule attention module SCIENTIFIC REPORTS, 2022, v.12 no.1 , 3916-3916
    SCI
  • [학술지논문] Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2022, v.69 no.5 , 1608-1619
    SCI
  • [학술지논문] Unsupervised Domain Adaptation for Low-Dose Computed Tomography Denoising IEEE ACCESS, 2022, v.10 no.0 , 126580-126592
    SCIE
  • [학술지논문] Wavelet subband-specific learning for low-dose computed tomography denoising PLOS ONE, 2022, v.17 no.9 , 0274308-0274308
    SCIE
  • [학술지논문] 3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT IEEE ACCESS, 2021, v.9 no.0 , 71821-71831
    SCIE
  • [학술지논문] Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT MACHINE VISION AND APPLICATIONS, 2021, v.32 no.6 , 116-116
    SCIE
  • [학술지논문] A learning-based material decomposition pipeline for multi-energy x-ray imaging MEDICAL PHYSICS, 2019, v.46 no.2 , 689-703
    SCI
  • [학술발표] Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers SPIE Medical Imaging 2020, 미국, Houston, 2020-02-17 Medical Imaging 2020: Computer-Aided Diagnosis, 2020, 1-8
  • [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, 1-12
  • [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] Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT Bildverarbeitung für die Medizin 2020, 독일, Berlin, 2019-12-15 Informatik aktuell, 2019, 67-72
  • [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] 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
  • A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer PEERJ COMPUTER SCIENCE, 2023, v.9, e1311
    SCIE Scopus dColl.
  • Annotation-Efficient Deep Learning Model for Pancreatic Cancer Diagnosis and Classification Using CT Images: A Retrospective Diagnostic Study Cancers, 2023, v.15 no.13, 3392
    SCIE Scopus dColl.
  • Botulinum neurotoxin type A improves vasti muscle balance, patellar tracking, and pain in patients with chronic patellofemoral pain Journal of Orthopaedic Research, 2023, v.41 no.5, 962-972
    SCIE Scopus dColl.
  • Intra-person multi-task learning method for chronic-disease prediction Scientific Reports, 2023, v.13 no.1, 1069
    SCIE Scopus dColl.
  • MM-Net: Multiframe and Multimask-Based Unsupervised Deep Denoising for Low-Dose Computed Tomography IEEE Transactions on Radiation and Plasma Medical Sciences, 2023, v.7 no.3, 296-306
    Scopus dColl.
  • Unsupervised Visual Representation Learning Based on Segmentation of Geometric Pseudo-Shapes for Transformer-Based Medical Tasks IEEE Journal of Biomedical and Health Informatics, 2023, v.27 no.4, 2003-2014
    SCIE Scopus dColl.
  • Acquisition of a single grid-based phase-contrast X-ray image using instantaneous frequency and noise filtering BioMedical Engineering Online, 2022, v.21 no.1, 92
    SCIE Scopus dColl.
  • Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell Lung Cancer Sensors, 2022, v.22 no.17, 6594
    SCIE Scopus dColl.
  • MFA-net: Object detection for complex X-ray cargo and baggage security imagery PLoS ONE, 2022, v.17 no.9-9월, e0272961
    SCIE Scopus dColl.
  • No-reference perceptual CT image quality assessment based on a self-supervised learning framework Machine Learning: Science and Technology, 2022, v.3 no.4, 45033
    SCIE Scopus dColl.
  • Object detectors involving a NAS-gate convolutional module and capsule attention module Scientific Reports, 2022, v.12 no.1, 3916
    SCIE Scopus dColl.
  • Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements IEEE Transactions on Biomedical Engineering, 2022, v.69 no.5, 1608-1619
    SCIE Scopus dColl.
  • Unsupervised Domain Adaptation for Low-Dose Computed Tomography Denoising IEEE ACCESS, 2022, v.10, 126580-126592
    SCIE Scopus dColl.
  • Wavelet subband-specific learning for low-dose computed tomography denoising PLoS ONE, 2022, v.17 no.9-9월, e0274308
    SCIE Scopus dColl.
  • 3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT IEEE ACCESS, 2021, v.9, 71821-71831
    SCIE Scopus dColl.
  • A sequential and intensive weighted language modeling scheme for multi-task learning-based natural language understanding Applied Sciences (Switzerland), 2021, v.11 no.7, 3095
    SCIE Scopus dColl.
  • Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT MACHINE VISION AND APPLICATIONS, 2021, v.32 no.6, 116
    SCIE Scopus dColl.
  • A learning-based material decomposition pipeline for multi-energy x-ray imaging MEDICAL PHYSICS, 2019, v.46 no.2, 689-703
    SCIE Scopus dColl.
  • [학술지논문] A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer PEERJ COMPUTER SCIENCE, 2023, v.9 no.1311 , 1-20
    SCIE
  • [학술지논문] Annotation-Efficient Deep Learning Model for Pancreatic Cancer Diagnosis and Classification Using CT Images: A Retrospective Diagnostic Study CANCERS, 2023, v.15 no.13 , 1-14
    SCIE
  • [학술지논문] Botulinum neurotoxin type A improves vasti muscle balance, patellar tracking, and pain in patients with chronic patellofemoral pain JOURNAL OF ORTHOPAEDIC RESEARCH, 2023, v.41 no.5 , 962-972
    SCIE
  • [학술지논문] Intra-person multi-task learning method for chronic-disease prediction SCIENTIFIC REPORTS, 2023, v.13 no.1 , 1069-1069
    SCIE
  • [학술지논문] Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising Lecture Notes in Computer Science, 2023, v.13939 no.1 , 771-782
    Scopus
  • [학술지논문] Acquisition of a single grid-based phase-contrast X-ray image using instantaneous frequency and noise filtering BIOMEDICAL ENGINEERING ONLINE, 2022, v.21 no.1 , 92-92
    SCIE
  • [학술지논문] A Sequential and Intensive Weighted Language Modeling Scheme for Multi-Task Learning-Based Natural Language Understanding APPLIED SCIENCES-BASEL, 2021, v.11 no.7 , 3095-3095
    SCIE
  • [학술지논문] Analysis of Understanding Using Deep Learning Facial Expression Recognition for Real time Online Lectures 멀티미디어학회논문지, 2020, v.23 no.12 , 1464-1475
    KCI
  • [학술지논문] The effect of patellofemoral pain syndrome on patellofemoral joint kinematics under upright weight-bearing conditions PLOS ONE, 2020, v.15 no.9 , 0239907-0239907
    SCIE
  • [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] Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023, 캐나다, Vancouver, 2023-10-10 MICCAI 2023 Proceedings, 2023
  • [학술발표] Deep Denoising Network for X-Ray Fluoroscopic Image Sequences of Moving Objects International Conference on Medical Image Computing and Computer Assisted Intervention, 싱가폴, 싱가포르, 2022-09-22 International Workshop on Machine Learning for Medical Image Reconstruction, 2022
  • [학술발표] Botulinum Toxin Injection Improves Pain and Muscle Balance in Chronic Patellofemoral Pain 2021 AAP ANNUAL MEETING (Physiatry ’21), 미국, Virtual, 2021-02-09 American Journal of Physical Medicine & Rehabilitation, 2021, 1-204
  • [학술발표] Lung Cancer and Lymph Node Metastasis Detection on FDG PET/CT Images using YOLO Algorithm IEEE NSS/MIC, 일본, Virtual, 2021-10-18 Proceedings of IEEE NSS/MIC 2021, 2021, 1-2
  • [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, 14-23
  • [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
강의
  • 2024-1학기

    • 컴퓨터의학종합설계

      • 학수번호 38920분반 01
      • 학년 ( 3학점 , 3시간) 월 3~4
      • 전공필수,원격강의 팀티칭, 속강
    • 딥러닝

      • 학수번호 39151분반 01
      • 3학년 ( 3학점 , 3시간) 월 6~6 (캠) , 수 5~5 (155)
      • 영어강의
    • 딥러닝

      • 학수번호 G18425분반 01
      • 학년 ( 3학점 , 3시간) 목 5~6 (공학A124)
  • 2022-2학기

    • 통계적기계학습이론

      • 학수번호 38586분반 01
      • 2학년 ( 3학점 , 3시간) 월 6~6 (공학) , 수 5~5 (159)
      • 영어강의
    • 의학영상처리

      • 학수번호 38601분반 01
      • 3학년 ( 3학점 , 3시간) 월 4~4 (연구) , 목 5~5 (101)
    • 데이터사이언스

      • 학수번호 G18080분반 01
      • 학년 ( 3학점 , 3시간) 금 5~6 (연구)
  • 2022-1학기

    • 휴먼기계바이오공학실험I

      • 학수번호 38571분반 02
      • 3학년 ( 3학점 , 4.5시간) 금 5~7 (공학)
    • 융합캡스톤디자인I

      • 학수번호 38588분반 01
      • 4학년 ( 3학점 , 4.5시간) 월 2~2 (공대강당) , 목 2~3 (공대강당)
    • 기초전산공학

      • 학수번호 38657분반 01
      • 2학년 ( 3학점 , 3시간) 월 5~5 , 수 4~4
      • 영어강의
    • 컴퓨터의학종합설계

      • 학수번호 38920분반 01
      • 학년 ( 3학점 , 3시간) 월 3~4
      • 전공필수,원격강의
    • 시스템헬스개론

      • 학수번호 G18067분반 01
      • 학년 ( 3학점 , 3시간) 목 7~8
    • 컴퓨터비전과딥러닝

      • 학수번호 G18136분반 01
      • 학년 ( 3학점 , 3시간) 목 4~5
  • 2021-2학기

    • 통계적기계학습이론

      • 학수번호 38586분반 01
      • 2학년 ( 3학점 , 3시간) 월 6~6 , 수 5~5
      • 영어강의
    • 의학영상처리

      • 학수번호 38601분반 01
      • 3학년 ( 3학점 , 3시간) 화 4~4 , 금 5~5
    • 데이터사이언스

      • 학수번호 G18080분반 01
      • 학년 ( 3학점 , 3시간) 화 6~7
      • 시간변경,영어강의
  • 2021-1학기

    • 융합캡스톤디자인I

      • 학수번호 38588분반 01
      • 4학년 ( 3학점 , 4.5시간) 월 7~8 , 금 3~3
    • 기초전산공학

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

      • 학수번호 G18136분반 01
      • 학년 ( 3학점 , 3시간) 수 3~4 (연구)
경력

휴먼기계바이오공학부장 2019-03-01 ~ 2020-01-31

한국전자통신연구원 2015-12-01 ~ 2017-02-28

Stanford University 2015-01-09 ~ 2015-11-30