김남국

부교수
  #의료영상 매개연구

학력

1997 .03 ~ 2008 .02서울대학교 산업공학 박사
1995 .03 ~ 1997 .02서울대학교 산업공학 석사
1991 .03 ~ 1995 .02서울대학교 산업공학 학사

경력

2018 .09 ~ 현재서울아산병원 융합의학과 부교수
2014 .03 ~ 2018 .08서울아산병원 융합의학과 조교수
2009 .12 ~ 2014 .02서울아산병원 연구 조교수
2008 .09 ~ 2009 .11Postdoc Research Fellow, University of Utah
2006 .09 ~ 2008 .08서울아산병원 연구 교수
2000 .06 ~ 2002 .10(주)사이버메드 대표이사

논문

A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides

Deep Learning Applications in Chest Radiography and Computed Tomography: Current State of the Art

Effects of emphysema on physiological and prognostic characteristics of lung function in idiopathic pulmonary fibrosis

Fully automatic segmentation of acute ischemic lesions on diffusion-weighted imaging using convolutional neural networks: Comparison with conventional algorithms

Prediction of Pulmonary Function in Patients with Chronic Obstructive Pulmonary Disease: Correlation with Quantitative CT Parameters

Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma.

Semi-automatic and robust determination of dental arch form in dental cone-beam CT with B-spline approximation

3D-Printing-Based Open Repair of Extensive Thoracoabdominal Aorta in Severe Scoliosis

A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images

A fast and robust level set motion-assisted deformable registration method for volumetric CT guided lung intervention

Applications of Three-Dimensional Printing in Cardiovascular Surgery: A Case-Based Review

CT image conversion among different reconstruction kernels without a sinogram using convolutional neural network

Development of a robust and cost-effective 3D respiratory motion monitoring system using the kinect device: Accuracy comparison with the conventional stereovision navigation system.

Effect of pannus formation on the prosthetic heart valve: In vitro demonstration using particle image velocimetry

Effects of Emphysema on Physiologic and Prognostic Characteristics of Lung function in Idiopathic Pulmonary Fibrosis

Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room

Generation of customized orbital implant templates using 3-dimensional printing for orbital wall reconstruction.

Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans

Impact of Subtended Myocardial Mass Assessed by Coronary Computed Tomographic Angiography-Based Myocardial Segmentation

Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net

저서

뇌졸중 MRI의 이해와 정량분석 - 매트랩을 이용한 참조표준 / 뇌지도 제작

Salivary Gland Development and Regeneration

보건의료정보학

보도자료

'왓슨' 처방 따로, 의사 처방 따로…겉도는 의료 AI 활용
https://www.hankyung.com/news/article/2017061451601

'의료 알파고'는 빅데이터가 생명인데…융합연구용 진료정보 공유 길 막힌 한국
https://www.hankyung.com/society/article/2016031615821

서울아산병원, 3D 프린터 유방암 수술 새 패러다임
http://www.dailymedi.com/detail.php?number=863194&thread=22r03

포스팅

Bronchoscopic Lung Volume Reduction: Proof of the Original Concept with a New Image Technique

Evaluation of Surgical Guides Using a 3D Printer in Breast Cancer Patients Who Received Neoadjuvant Chemotherapy

Eustachian tube measurement using computed tomography 3D reconstruction

In Vivo Assessment of Aortic Root Geometry in Normal Controls Using 3-Dimensional Analysis of Computed Tomography Data

영상자료

인공 장기 제작…3D 프린터 의료분야 전망은?
http://news.naver.com/main/read.nhn?mode=LPOD&mid=tvh&oid=056&aid=0010130111

의료계도 '3D 시대'…수술 부위 모형 만들어 정확도 높여
https://news.naver.com/main/read.nhn?mode=LPOD&mid=tvh&oid=437&aid=0000109278

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