차의과학대학교
 
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조백환

조백환 교수

전공정보의학(세부전공: 의료인공지능, 디지털헬스케어)
연락처 031-881-7156 baekhwan.cho@cha.ac.kr

학력

  • 한양대학교 전자/전자통신/전파공학 학사
  • 한양대학교 의용생체공학 석사
  • 한양대학교 의용생체공학 박사

경력

  • 현) 차의과학대학교 의학전문대학원 정보의학교실 부교수
  • 현) 차의과학대학교 의학전문대학원 정보의학연구소 부소장
  • 현) 분당차병원 차미래의학연구원 AI 빅데이터연구팀 팀장
  • 삼성서울병원 AI 연구센터 조교수/부교수
  • 삼성전자 종합기술원 전문연구원(수석)
  • Carnegie Mellon University 박사후연구원
  • 한양대학교 박사후연구원

논문

    [Lab Hompage] 헬스케어 기계학습 연구실

    [연구내용]

    다양한 형태의 헬스케어 데이터를 활용한 헬스케어 AI 솔루션을 개발하고, 연구결과의 실용화 및 산업화

  • 의료영상: MRI, CT, X-ray, 안저영상, OCT, 현미경영상 등 다양한 종류의 의료영상에서 진단을 보조할 수 있도록 병변 탐색, 특징 정량화, 예후 예측
  • 생체신호 및 디지털 바이오마커: EEG, ECG, PPG 등의 전통적인 생체신호 뿐만 아니라, 웨어러블/스마트폰 데이터를 분석하여 뇌전증 등의 질환을 분석하거나 스트레스/우울증 등의 정신건강 관련 지표 분석
  • 임상정보: EMR에서 추출할 수 있는 임상정보(Lab. data, 치료 전 후 임상정보, 활력 징후, physical examination data 등)를 통해 질병의 발병 혹은 예후 예측


    • [논문 (2020년 이후)]
  • Detection of Cancer Recurrence Using Systemic Inflammatory Markers and Machine Learning after Concurrent Chemoradiotherapy for Head and Neck Cancers. Cancers. 2023
  • Exploring Autonomic Alterations during Seizures in Temporal Lobe Epilepsy: Insights from a Heart-Rate Variability Analysis. Journal of Clinical Medicine. 2023
  • Development of machine learning models for the surveillance of colon surgical site infections. Journal of Hospital Infection. 2023
  • Automatic prediction of conductive hearing loss using video pneumatic otoscopy and deep learning algorithm. Ear and Hearing. 2022
  • Feasibility of a deep learning-based diagnostic platform to evaluate lower urinary tract disorders in men using simple uroflowmetry. Investigative and Clinical Urology. 2022
  • Selective Prediction With Long Short-term Memory Using Unit-Wise Batch Standardization for Time Series Health Data Sets: Algorithm Development and Validation. JMIR Medical Informatics. 2022
  • Detection of maxillary sinus fungal ball via 3-D CNN-based artificial intelligence: Fully automated system and clinical validation. PLOS One. 2022
  • Artificial intelligence-based classification of bone tumors in the proximal femur on plain radiographs: System development and validation. PLOS One. 2022
  • Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG. Computer Methods and Programs in Biomedicine. 2022
  • Deep learning models for screening of high myopia using optical coherence tomography. Scientific Reports, 2021
  • A fully automated analytic system for measuring endolymphatic hydrops ratios in patients with Meniere disease via magnetic resonance imaging: deep learning model development study. Journal of Medical Internet Research. 2021
  • Prediction of risk factors for pharyngo-cutaneous fistula after total laryngectomy using artificial intelligence. Oral Oncology. 2021
  • Highly sensitive and repeatable DNA‐SERS detection system using silver nanowires‐glass fiber filter substrate. Analytical Science Advances, 2021
  • Deep-learning framework and computer assisted fatty infiltration analysis for the supraspinatus muscle in MRI. Scientific Reports, 2021
  • Automatic stenosis recognition from coronary angiography using convolutional neural networks. Computer Methods and Programs in Biomedicine. 2021
  • Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography. BMC Ophthalmology. 2020
  • Unsupervised automatic seizure detection for focal-onset seizures recorded with behind-the-ear EEG using an anomaly-detecting generative adversarial network. Computer Methods and Programs in Biomedicine. 2020
  • Risk prediction platform for pancreatic fistula after pancreatoduodenectomy using artificial intelligence. World journal of gastroenterology. 2020
  • Automated measurement of hydrops ratio from MRI in patients with Ménière’s disease using CNN-based segmentation. Scientific Reports, 2020


    • [등록특허]
  • 딥러닝 기반의 단순요류검사 결과 학습 및 하부요로증상 진단방법 (한국, 10-2536807), 2023
  • Method and apparatus for measuring endolymphatic hydrops ratio of inner ear organ using artificial neural network (미국, 11615604B2), 2023
  • 인공신경망을 이용한 내이기관 내림프수종 비율 측정 방법 및 그 장치 (한국, 10-2330806), 2020
  • 인공지능을 이용한 안질환 진단 방법 및 시스템 (한국, 10-2329468), 2021
  • 딥러닝을 이용한 미숙아의 시력 발달 및 근시 진행을 예측하는 방법 및 시스템 (한국, 10-2320581), 2021
  • 딥러닝을 이용한 근시 진행 예측 방법 및 시스템 (한국, 10-2320580), 2021
  • Eye disease diagnosis method and system using artificial intelligence (미국, 11197608), 2021
  • Image processing method for autonomous driving and apparatus thereof (미국, 10739783), 2020
  • Method and apparatus for informing pedestrian and occupant of vehicle of each other's approach (미국, 10604070), 2020
  • Method and apparatus for processing binocular disparity image (미국, 10582179), 2020
  • 동영상 기반 발작 추적감시 방법 및 장치 (한국, 10-2164475), 2020
  • 제품 상태 표시기 (한국, 10-2086853), 2020
  • Stereo camera-based autonomous driving method and apparatus (미국, 10444752), 2019
  • Method and apparatus for detecting error in gesture recognition (미국, 10410077), 2019
  • User interface system and method for enabling mark-based interaction for images (미국, 10394416), 2019
  • Apparatus and method for visualizing anatomical elements in a medical image (미국, 10383602), 2019
  • Method and apparatus for acquiring image disparity (미국, 10341634), 2019
  • Apparatus and method for computer-aided diagnosis (미국, 10147223), 2018
  • Event signal processing method and apparatus (미국, 10083349), 2018
  • Device and method for detecting position of object (미국, 10012493), 2018
  • Apparatus and method for sampling images (미국, 9912840), 2018
  • System and method for detecting region of interest (미국, 9898819), 2018
  • Apparatus and method for computer-aided diagnosis (미국, 9639929), 2017
  • Apparatus and method for lesion detection (미국, 9532762), 2017
  • Apparatus and method for lesion segmentation and detection in medical image (미국, 9536316), 2017
  • Apparatus and method for combining three dimensional ultrasound images (미국, 9504450), 2016
  • Apparatus and method for detecting lesion (미국, 9305349), 2016

저서/역서/편서