College of Information and Communication Engineering - College of Information and Communication Engineering

  • Professor
  • PARK, HYUN JIN 홈페이지 바로가기

Research Interest

Image processing methods for medical imagery including image registration and segmentation. 
Medical image analysis for cancer management. 
Computer vision (including deep learning) application to medical imagery. 
Applications in neuroimaging analysis, radiomics, and imaging genetics.

Education

  • B.S. Electrical Engineering, Seoul National University, Seoul, South Korea, 1997
  • M.S. Biomedical Engineering, University of Michigan, Ann Arbor, MI, 2000
  • M.S. Electrical Engineering, University of Michigan, Ann Arbor, MI, 2000
  • Ph.D. Biomedical Engineering, University of Michigan, Ann Arbor, MI, 2003

Experience

  • Assistant/Associate/Full Prof: School of Electronic Electrical Engineering, Sungkyunkwan University, Korea, (2012 - current)
  • Assistant Prof: Dept. of Biomedical Engineering, Gachon University, Korea, (2009 - 2012)
  • Assistant Prof (Research): Dept. of Radiology, University of Michigan, Ann Arbor, U.S.A (2007-2009)

Journal Article

  • (2022)  Disrupted stepwise functional brain organization in overweight individuals.  COMMUNICATIONS BIOLOGY.  5,  1
  • (2021)  Evaluation of response to immune checkpoint inhibitors using a radiomics, lesion-level approach.  CANCERS.  13,  23
  • (2021)  Overview of radiomics in prostate imaging and future directions.  BRITISH JOURNAL OF RADIOLOGY.  1,  1
  • (2021)  Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans.  COMMUNICATIONS BIOLOGY.  4,  1
  • (2021)  Cognitive and Neural State Dynamics of Story Comprehension.  JOURNAL OF NEUROSCIENCE.  41,  43
  • (2021)  Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach.  IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS.  25,  9
  • (2021)  A structural enriched functional network: An application to predict brain cognitive performance.  MEDICAL IMAGE ANALYSIS.  71, 
  • (2021)  Inter-individual body mass variations relate to fractionated functional brain hierarchies.  COMMUNICATIONS BIOLOGY.  4,  1
  • (2021)  A Cascaded Neural Network for Staging in Non-Small Cell Lung Cancer Using Pre-Treatment CT.  DIAGNOSTICS.  11,  6
  • (2021)  Rethinking a Non-Predominant Pattern in Invasive Lung Adenocarcinoma: Prognostic Dissection Focusing on a High-Grade Pattern.  CANCERS.  13,  11
  • (2021)  Pleomorphic Carcinoma of the Lung: Prognostic Models of Semantic, Radiomics and Combined Features from CT and PET/CT in 85 Patients.  European Journal of Radiology Open.  8,  1
  • (2021)  Tumor Margin Contains Prognostic Information: Radiomic Margin Characteristics Analysis in Lung Adenocarcinoma Patients.  CANCERS.  13,  7
  • (2021)  Are radiomics features universally applicable to different organs?.  CANCER IMAGING.  21,  1
  • (2021)  Predicting amyloid positivity in patients with mild cognitive impairment using a radiomics approach.  SCIENTIFIC REPORTS.  11,  1
  • (2021)  A neuroimaging biomarker for sustained experimental and clinical pain.  NATURE MEDICINE.  27,  1
  • (2020)  Computed Tomography Radiomics for Residual Positron Emission Tomography-Computed Tomography Uptake in Lymph Nodes after Treatment.  CANCERS.  12,  12
  • (2020)  The Tumor-Fat Interface Volume of Breast Cancer on Pretreatment MRI Is Associated with a Pathologic Response to Neoadjuvant Chemotherapy.  BIOLOGY-BASEL.  9,  11
  • (2020)  GraphNet-based imaging biomarker model to explain levodopa-induced dyskinesia in Parkinson's disease.  COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE.  196, 
  • (2020)  A neuroimaging marker for predicting longitudinal changes in pain intensity of subacute back pain based on large-scale brain network interactions.  SCIENTIFIC REPORTS.  10,  1
  • (2020)  Accurate neuroimaging biomarkers to predict body mass index in adolescents: a longitudinal study.  BRAIN IMAGING AND BEHAVIOR.  14,  5

Patent/Intellectual Property

  • 치과용 CT 이미지들을 이용한 3차원 이미지의 재구성 방법 및 장치.  10-2015-0162302.  20170517.  KOREA, REPUBLIC OF
  • 초음파 영상과 자기공명 영상 간의 영상정합 방법(Image registration method of ultrasound imaging and magnetic resonance imaging).  10-2011-0027223.  20121005.  KOREA, REPUBLIC OF

Honors / Awards

  • Rotary International Ambassadorial Scholarship, Korea, 1998

Conference Paper

  • (2021)  Autoencoder-based subtyping of eating behaviors using functional MRI.  IEEE EMBC 2021.  UNITED STATES
  • (2021)  Generative Adversarial Network with Local Discriminator for Synthesizing Breast Contrast-Enhanced MRI.  IEEE BHI 2021.  UNITED STATES
  • (2021)  기침 음성 데이터를 이용한 COVID-19 분류.  대한전자공학회 2021년도 하계학술대회.  TAIWAN
  • (2021)  다중 라벨 망막 영상 분석을 위한 두 갈래 분류기.  대한전자공학회 2021년도 하계학술대회.  KOREA, REPUBLIC OF
  • (2021)  망막 영상 분석을 위한 두 갈래 분류기.  한국정보통신학회 2021년 춘계 종합학술대회.  KOREA, REPUBLIC OF
  • (2021)  Individual-level parcellation of the human auditory cortex and comparison of their functional connectivity pattern.  ISMRM 2021.  UNITED STATES
  • (2020)  링크넷을 이용한 뇌영상 악성 신경교종 분할.  대한전자공학회 2020 하계학술대회.  KOREA, REPUBLIC OF
  • (2020)  심층신경망 네트워크의 잠재변수를 이용한 Glioblastoma 환자군 생존분석 알고리즘.  대한전자공학회 2020 하계학술대회.  KOREA, REPUBLIC OF
  • (2020)  폐 CT 영상 분할을 위한 다해상도 U-Net.  대한전자공학회 2020 하계학술대회.  KOREA, REPUBLIC OF
  • (2020)  Brain functional connectivity patterns for understanding obesity.  Organization for Human Brain Mapping 2020.  UNITED STATES
  • (2020)  Classifying insomnia with machine learning using magnetic resonance imaging of the brain.  IEEE Eurasia Conference on Biomedical Engineering,Healthcare and Sustainability 2020.  TAIWAN
  • (2019)  Prediction of overall survival for high-grade glioma patients using 3D convolutional neural network.  대한뇌기능매핑학회 2019 추계학술대회.  KOREA, REPUBLIC OF
  • (2019)  Subtype identification of Parkinson’s disease using sparse canonical correlation and clustering analysis of multimodal neuroimaging.  International conference on metadata and semantics research.  ITALY
  • (2019)  Fully automated parcellation of the primary auditory cortex.  society for neuroscience 2019.  UNITED STATES
  • (2019)  Glioma Tumor Segmentation using Simplified V-Net.  IEEE Engineering in Medicine and Biology Society 41st conference.  GERMANY
  • (2019)  Use of Granger causality from fMRI as a biomarker for body mass index.  IEEE Engineering in Medicine and Biology Society.  GERMANY
  • (2019)  다중MR 영상에서 3 차원 합성곱 신경망 을 이용한 교모세포종 검출.  대한의용생체공학회 춘계학술대회 2019.  KOREA, REPUBLIC OF
  • (2019)  다중모드 영상 데이터를 이용한 인간 대뇌 청각 피질 영역의 정의와 분할.  대한의용생체공학회 춘계학술대회 2019.  KOREA, REPUBLIC OF
  • (2019)  대뇌 피질의 시공간적 동질성과 체질량지수에 대한 상관관계 분석.  대한의용생체공학회 춘계학술대회 2019.  KOREA, REPUBLIC OF
  • (2018)  Development of Automatic Liver Segmentation Algorithms for Contrast CT Scans.  SMIT 2018 - IBEC 2018 joint conference.  KOREA, REPUBLIC OF