공지사항
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Biomedical informatics
Blog : http://sosal.kr/ (sosal.tistory.com)
E-mail : sosal@snu.ac.kr
E-mail : sosal@hanmail.net
통큰굴창
Journals
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Lee, JH*, Kwon, SB, Park, YR, "Sharing genetic variants with the NGS pipeline is essential for effective genomic data sharing and reproducibility" Scientific reports (Accepted)
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Kwon, SB*, Lee, JH*, Park, YR, "RNA Expression Data Cannot Infer Personal Information: A Multiple-Methods Validation Study" Journal of Medical Internet Research (Accepted)
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Lee, JH* et al, "Linkage of regulatory networks of gene modules to drug sensitivity reveals synergistic effects of DCF combination chemotherapy in advanced-stage gastric cancer", Scientific reports. 10.1 (2020): 1-10.
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Kim, JT*., Park, YR*., Lee, JH*., Huh, JW. "Development of Real-time risk prediction model for In-hospital cardiac arrest in critically ill patients using deep learning" JMIR Medical Informatics. (accepted)
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Lee, JH*., JH, Kim., EJ. Ha, "Application of Deep Learning to the Diagnosis of Cervical Lymph Node Metastasis from Thyroid Cancer with CT" European Radiology (2018) (Accepted)
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Jung, M., Lee, JH et al, "Transcriptional Analysis of Immunohistochemically Defined Subgroups of Non-Muscle-Invasive Papillary High-Grade Upper Tract Urothelial Carcinoma" International Journal of Molecular Sciences, 20, 570. 2019
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Lee, JH*., Ha, E. J., Baek, J. H., Choi, M., Jung, S. E., & Yong, H. S., "Implementation of Korean Clinical Imaging Guidelines: A Mobile App-Based Decision Support System" Korea Journal of Radiology, 20(2), 182-189. 2019
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JH, Lee*., JH, Kim., JH. Baek., et al, "JH Lee., Deep learning-based computer-aided diagnosis system for localization and diagnosis of metastatic lymph nodes on ultrasound: A pilot study" Thyroid, 28.10 (2018): 1332-1338.
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Shin, SU., Lee, JH., et al. "Gene expression profiling of breast cancer: Associations among mammographic microcalcifications, ERBB2 and immunity", Scientific reports 7.1 2017: 11427.
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Park, J., Lee, N., Lee, J., Choe, EK., Kim, MK., Lee, JH., et al. "Small molecule-based lineage switch of human adipose-derived stem cells into neural stem cells and functional GABAergic neurons", Scientific Reports, 2017.
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Jung, HC., Kim, SH., Lee, JH., Kim, J. H., & Han, SW. "Gene Regulatory Network Analysis for Triple-Negative Breast Neoplasms by Using Gene Expression Data". Journal of Breast Cancer, 20(3), 240-245. 2017 (Editor’s choice main article)
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Han, K*., & Lee, JH*. "GeneNetFinder2: Improved inference of dynamic gene regulatory relations with multiple regulators", IEEE/ACM transactions on computational biology and bioinformatics, 2016, 13(1), 4-11.
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Lee, J*., Chen, Y., & Han, K. "Inference of Dynamic Gene Regulatory Relations with Multiple Regulators", In International Conference on Intelligent Computing (pp. 134-140). Springer, Cham, 2014. (Proceedings)
- Lee, JH. “Differentiation of thyroid malignant lymph node from benign lymph node using artificial intelligence”, KSUM 2017 (Young Investigator Award, Grand Prix)
- Lee, JH. "Inference of Dynamic Gene Regulatory Relations with Multiple Regulators." International Conference on Intelligent Computing.
- Lim, SK., Lee, JH., et al. "Comparative Analysis of Gene Regulatory Network Between Stage I and IV in Gastric Cancers Using Weighted Gene CoExpression Network Analysis" KOSMI, AI-Driven Healthcare Revolution
Work in process
- "Inference of metastasis from MRI feature and Gene Expression Profile in Triple Negative Breast Cancer"
- Cancer genome analysis
- Computational inference of synthetic cytotoxicity
- Synthetic lethality & Synthetic dosage lethality
- Image deep learning, Image Synthesis
- Pediatric Craniosynostosis can be diagnosed by predicted CT derived from MRI.
- Prediction of lymph node metastasis from CT images of patients with thyroid cancer.
- Genomics + Radiomics = Radio-genomics..
Poster
2015 생물정보학Day - An Integrated Analysis of Multi-omics Data To Predict Cancer Survival 포스터 발표
Websites
영상의학 진료지침 Guide line / Clinical Decision Support System
cdss.or.kr
Honors and Awards
2018 [빅콘테스트] Innovation 통신분야 대상 - 과학기술정보통신부 장관상
2018 [국제인공지능대전] 융합인공지능 경진대회 인공지능협회장상
- http://www.aitimes.kr/news/articleView.html?idxno=11939
- http://amenews.kr/news/view.php?idx=36708
2018 금융정보보호 및 금융 빅데이터 공모전 금융보안원 원장상 우수상 (2위)
2017 48th Annual Congress of Korean Society of Ultrasound in Medicine (KSUM Open 2017)
- Young Investigator Award & Grand Prix
- 젊은 과학자상 수상 및 최고연구발표상
"Differentiation of thyroid malignant lymph node from benign lymph node using artificial intelligence"
2017 정보의학 인증의 교육수련과정 4기 (Certified Physician in Biomedical Informatics, CPBMI)
2017 Microsoft-아산병원 의료 빅데이터 분석 콘테스트
서울아산병원과 한국마이크로소프트가 함께 하는 의료 빅데이터 분석 컨테스트 과제
"Metastatic lymph nodes from thyroid cancer 의 모양에 따른 정상 여부 구별 기법 개발" 부문 1위 (전체 3위)
2016 NAVER D2와 함께하는 인하소프트웨어 해커톤 대상
2016 NAVER D2와 함께하는 인하소프트웨어 해커톤 NAVER 특별상
IoT + 음성인식 AI + 스마트 디스플레이 활용
2016 Microsoft Imagine Cup Semi-Finals in Korea
2016 Super Challenge Hackerthon 우수상
IoT + 음성인식 AI 기술을 활용한 유아용 스마트 곰인형 개발
2015 Microsoft student program 9th
2013 관세행정 데이터 활용 App 아이디어 공모전 장려상
2012 ACM International Collegiate Programming Contest
Honorable Mention - Convention DJ Team Leader in KAIST
2011 전국 대학생 BioComputing 경진대회 우수상 in KAIST Bio & Brain engineering KAIST,KISTI 주최, KSBSB 주최
Bioinformatics algorithm 구현 경진대회
2011 BioComputing Lab. undergraduate researcher
2010 정보보호21c 잡지 글 3월호 기고
2010 보안뉴스 인터넷기사 글 기고
2010 KUCIS 원격제어공격 프로젝트 멤버
2010 Adobe Acrobat Univ-student Supporters 3rd.
2009~2010 인하대 정보보안연구실 IPTV 해킹프로젝트
2009 서울시립대 해킹대회 개인 본선 5위
2009 IGRUS 내부 해킹대회 1위
2009 INHA Group of Research for Unix Security
2016 KHIDI 한국보건산업진흥원 기자단
2016 대한민국청소년의회 멘토
2014 KITECH 한국생산기술연구원 기자단
2013 제 2기 자연과과학 대학생 SNS 인턴기자단
Biomedical informatics 및 프로그래밍 블로그 운영