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- 교수
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박현진
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- 031-299-4956
- hyunjinp@skku.edu
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영상처리
관심분야
의료영상처리 (영상정합,영상분할 포함) 암치료를 위한 의료영상분석 컴퓨터비전(딥러닝포함)의 의료영상적용 뇌영상분석, 레디오믹스, 영상유전체학 응용
학력
- 서울대학교 전기공학부 학사 1997
- University of Michigan 의공학 석사 2000
- University of Michigan 전자공학 석사 2000
- University of Michigan 의공학 박사 2003
약력/경력
- 조교수, 부교수, 정교수: 성균관대학교 전자전기공학부 2012-
- 조교수: 가천대학교 의공학과 2009-2012
- 조교수(연구): University of Michigan, Radiology 2007-2009
학술지 논문
- (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, 1
- (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) Are radiomics features universally applicable to different organs?. CANCER IMAGING. 21, 1
- (2021) Tumor margin contains prognostic information: radiomic margin characteristics analysis in lung adenocarcinoma patients. CANCERS. 13, 7
- (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
- (2020) Parallel comparison and combining effect of radiomic and emerging genomic data for prognostic stratification ofnon-small celllung carcinoma patients. THORACIC CANCER. 11, 9
- (2020) Prediction of tumor doubling time of lung adenocarcinoma using radiomic margin characteristics. THORACIC CANCER. 11, 9
- (2020) Machine learning-based automated classification of headache disorders using patient-reported questionnaires. SCIENTIFIC REPORTS. 10, 1
- (2020) Whole-brain functional connectivity correlates of obesity phenotypes. HUMAN BRAIN MAPPING. 41, 17
- (2020) Multivariate association between brain function and eating disorders using sparse canonical correlation analysis. PLOS ONE. 15, 8
특허/프로그램
- 치과용 CT 이미지들을 이용한 3차원 이미지의 재구성 방법 및 장치. 10-2015-0162302. 20170517. 대한민국
- 초음파 영상과 자기공명 영상 간의 영상정합 방법(Image registration method of ultrasound imaging and magnetic resonance imaging). 10-2011-0027223. 20121005. 대한민국
수상/공훈
- 국제 로타리 장학생, 1998
학술회의논문
- (2020) 링크넷을 이용한 뇌영상 악성 신경교종 분할. 대한전자공학회 2020 하계학술대회. 대한민국
- (2020) 심층신경망 네트워크의 잠재변수를 이용한 Glioblastoma 환자군 생존분석 알고리즘. 대한전자공학회 2020 하계학술대회. 대한민국
- (2020) 폐 CT 영상 분할을 위한 다해상도 U-Net. 대한전자공학회 2020 하계학술대회. 대한민국
- (2020) Brain functional connectivity patterns for understanding obesity. Organization for Human Brain Mapping 2020. 미국
- (2020) Classifying insomnia with machine learning using magnetic resonance imaging of the brain. IEEE Eurasia Conference on Biomedical Engineering,Healthcare and Sustainability 2020. 대만
- (2019) Prediction of overall survival for high-grade glioma patients using 3D convolutional neural network. 대한뇌기능매핑학회 2019 추계학술대회. 대한민국
- (2019) Subtype identification of Parkinson’s disease using sparse canonical correlation and clustering analysis of multimodal neuroimaging. International conference on metadata and semantics research. 이탈리아
- (2019) Fully automated parcellation of the primary auditory cortex. society for neuroscience 2019. 미국
- (2019) Glioma Tumor Segmentation using Simplified V-Net. IEEE Engineering in Medicine and Biology Society 41st conference. 독일
- (2019) Use of Granger causality from fMRI as a biomarker for body mass index. IEEE Engineering in Medicine and Biology Society. 독일
- (2019) 다중MR 영상에서 3 차원 합성곱 신경망 을 이용한 교모세포종 검출. 대한의용생체공학회 춘계학술대회 2019. 대한민국
- (2019) 다중모드 영상 데이터를 이용한 인간 대뇌 청각 피질 영역의 정의와 분할. 대한의용생체공학회 춘계학술대회 2019. 대한민국
- (2019) 대뇌 피질의 시공간적 동질성과 체질량지수에 대한 상관관계 분석. 대한의용생체공학회 춘계학술대회 2019. 대한민국
- (2018) A recurrent neural network-based BMI classification using resting-state fMRI. SMIT 2018 - IBEC 2018 joint conference. 대한민국
- (2018) Body mass index prediction using diffusion tensor imaging. SMIT 2018 - IBEC 2018 joint conference. 대한민국
- (2018) Development of Automatic Liver Segmentation Algorithms for Contrast CT Scans. SMIT 2018 - IBEC 2018 joint conference. 대한민국
- (2018) LASSO 기반의 희소 정준상관분석을 이용한 뇌영상유전체 바이오 마커 관찰. 대한의용생체공학회 춘계학술대회 2018. 대한민국
- (2018) Radiomics를 이용한 Glioblastoma 환자들의 생존율 예측. 대한의용생체공학회 춘계학술대회 2018. 대한민국
- (2018) 영상 유전학 분석을 통한 파킨슨병 진단 모델 개발. 대한의용생체공학회 춘계학술대회 2018. 대한민국
- (2017) Classification of Low-grade and High-grade Glioma using Multi-modal Image Radiomics Features. IEEE EMBS 2017. 대한민국