분류 전체보기(88)
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박창민 (Chang Min Park, MD., Ph.D.)
Name Chang Min Park, MD., Ph.D. 박창민 Present title Associate Professor, Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital 서울대학교병원 영상의학과 부교수 E-mail Cmpark.morphius@gmali.com Education Mar. 1994 - Feb. 1998. Seoul National University College of Medicine (M.D.) Mar. 2001 - Feb. 2003. Postgraduate School, Seoul National University College of Me..
2020.05.18 -
김형진 (Hyungjin Kim, MD.,Ph.D.)
Present title Clinical assistant professor, Department of Radiology, Seoul National University Hospital 서울대학교병원 영상의학과 임상조교수 E-mail khj.snuh@gmail.com Education Mar. 2005 - Feb. 2009. Seoul National University College of Medicine (M.D.) Mar. 2012 - Feb. 2014. Postgraduate School, Seoul National University College of Medicine (M.S.) Mar. 2017 – Feb. 2019. Postgraduate School, Seoul National Univer..
2020.05.18 -
황의진 (Eui Jin Hwang, MD.,Ph.D.)
Present title Clinical assistant professor, Department of Radiology, Seoul National University Hospital 서울대학교병원 영상의학과 임상조교수 E-mail ken921004@hotmail.com Education Mar. 2006 - Feb. 2010. Seoul National University College of Medicine (M.D.) Sep. 2012 - Aug. 2014. Postgraduate School, Seoul National University College of Medicine (M.S.) Mar. 2018 – Feb. 2020. Postgraduate School, Seoul National Uni..
2020.05.18 -
남주강 (Ju Gang Nam, MD.)
Present title Assistant Professor, Department of Radiology, Seoul National University Hospital 서울대학교병원 영상의학과 진료조교수 E-mail dyuing89@gmail.com Education Mar. 2010 - Feb. 2014. Seoul National University College of Medicine (M.D.) Mar. 2017 - Feb. 2019. Postgraduate School, Seoul National University College of Medicine (M.S.) Mar. 2019 – Present. Postgraduate School, Seoul National University Colleg..
2020.05.18 -
김재현 (Jae Hyun Kim, MD.)
Present title Research Fellow, Department of Radiology, Seoul National University Hospital 서울대학교병원 영상의학과 임상강사 E-mail yyssaa21@gmail.com Education Mar. 2008 - Feb. 2012. Seoul National University College of Medicine (M.D.) Mar. 2019 – Present. Postgraduate School, Seoul National University College of Medicine (M.S. & Ph.D. course) Chronology of Employment Mar. 2012 - Feb. 2013. Internship, Seoul ..
2020.05.18 -
이종혁 (Jong Hyuk Lee, MD.)
Present title Clinical Fellow, Department of Radiology, Seoul National University Hospital 서울대학교병원 영상의학과 임상강사 E-mail lee87jh@gmail.com Education Mar. 2008 - Feb. 2012. Seoul National University College of Medicine (M.D.) Mar. 2015 - Feb. 2017. Postgraduate School, Seoul National University College of Medicine (M.S.) Chronology of Employment Mar. 2012 - Feb. 2013. Internship, Seoul National Unive..
2020.05.18 -
Preopertative CT-based Deep Learning Model for Predicting Disease-Free Survival in Patients with Lung Adenocarcinomas
Radiology 2020 [Online ahead of print] Kim et al. Full text https://pubs.rsna.org/doi/10.1148/radiol.2020192764
2020.05.17 -
서울대학교 의과대학 의료영상인공지능연구실 대학원생 모집
1. 연구실 소개 - 서울대학교 의과대학 의료영상 인공지능 연구실 - 연구책임자: 박창민 교수 2. 연구 분야 - 본 연구실에서는 전산화단층촬영, 엑스레이, 초음파 등 의료영상을 이용한 인공지능 모델 개발 및 검증 연구를 수행하고 있습니다. 의료영상 데이터베이스 수집뿐 아니라 정제, 전처리 등부터 병변 검출, 진단, 예후 예측을 위한 모델 연구 및 관련 프로젝트를 진행합니다. - 영상처리 및 머신러닝에 관심 있는 학생들을 모집합니다. 3. 모집인원 - 0명 - 석사, 박사 또는 석박통합 4. 혜택 - 등록금 - 생활보조금 지원 5. 지원 방법 - 자기소개서와 간단한 이력서를 메일로 보내주세요. (cmpark.morphius@gmail.com)
2020.05.17 -
서울대학교병원 영상의학과 연구교수, 연수연구원 (Post-Doc) 모집 공고
1. 모집 분야 및 직무 가) 모집 분야: 의학영상처리 (x-ray, computed tomography), 머신러닝 나) 직무: 영상전처리, 영상재구성, 진단 및 예후예측 모델 개발 다) 모집 인원: 1명 2. 응시자격 가) 자격: 공학/이학 석사 또는 박사 학위 소지자 또는 임용 시점에 학위 취득 예정인 자 3. 응시방법 가) 제출서류 작성하여 이메일로 제출 (snuhrail@gmail.com) 나) 제출 기간: 2020년 5월 1일 – 2020년 5월 24일 4. 제출서류 가) 이력서 및 자기소개서 나) 포트폴리오 (초록 및 논문 목록 포함) 다) 졸업증명서 및 성적증명서 (학부, 대학원): 합격 후 제출 5. 근로계약 정보 가) 채용방식: 기간제 나) 근무형태: 전일제 (주 5일, 오전 9시 – ..
2020.05.17 -
Clinical Implementation of Deep Learning in Thoracic Radiology: Potential Applications and Challenges
Korean J Radiol 2020;21(5):511-525 Hwang et al. Full text https://www.kjronline.org/DOIx.php?id=10.3348/kjr.2019.0821
2020.04.23 -
Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study
Eur Radiol. 2020 Mar 11. doi: 10.1007/s00330-020-06771-3. [Epub ahead of print] Hwang et al. Full text http://lps3.link.springer.com.libproxy.snu.ac.kr/article/10.1007%2Fs00330-020-06771-3
2020.03.24 -
CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists
Eur Radiol. 2020 Feb 13. doi: 10.1007/s00330-019-06628-4. [Epub ahead of print] Kim et al. Full text http://lps3.link.springer.com.libproxy.snu.ac.kr/article/10.1007%2Fs00330-019-06628-4
2020.03.24 -
Deep Learning Algorithm for Classification of Chest Radiographs with Clinically Relevant Abnormalities in Emergency Department: Validation in Consecutive Cohort (Radiology)
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2020.02.10 -
Identifying facial phenotypes of genetic disorders using deep learning (Nature medicine)
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2020.02.10 -
Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia (Radiology: Artificial Intelligence)
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2020.02.10 -
Binomial Classification of Pediatric Elbow Fractures Using a Deep Learning Multiview Approach Emulating Radiologist Decision Making (Radiology: Artificial Intelligence)
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2020.02.10 -
ZSFG and BDRAD experience
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2020.02.10 -
Explainable Artificial Intelligence (XAI)
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2020.02.10 -
Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study (Lancet Respiratory Medicine)
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2020.02.10 -
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study (PLoS Med)
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2020.02.10 -
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists (PLoS Med)
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2020.02.10 -
Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs (Radiology)
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2020.02.10 -
Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI (Radiology)
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2020.02.10 -
Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning (Radiology)
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2020.02.10 -
Detection of Breast Cancer with Mammography:Effect of an Artificial Intelligence Support System (Radiology)
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2020.02.10 -
Clinically applicable deep learning for diagnosis and referral in retinal disease (Nature medicine)
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2020.02.09 -
Automated deep-neural network surveillance of cranial images for acute neurologic events (Nature Medicine)
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2020.02.09 -
Deep learning diffusion fingerprinting to detect brain tumour response to chemotherapy (BioRxiv)
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2020.02.09 -
Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure: Comparison of Machine Learning and Other Statistical Approaches (JAMA Cardiology)
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2020.02.09 -
Coronary CT Angiography–derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling (Radiology)
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2020.02.09
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안윤진(Ahn Yun Jin)
1.present title : Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail : unjin321@gmail.com
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김수현(Kim Su Hyeon)
1.present title :Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail: selon0530@gmail.com
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양소희(Yang So hee)
1. present title : Clinical Research Coordinator ,Department of Radiology, Seoul National University Hospital 2.E-mail: soheeyang0520@gmail.com
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강동산(Kang Dong San)
1.present title : Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail: qwepoi9107@gmail.com