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겸직교수/이학박사
- 전공분야 : 의료인공지능, 의료데이터과학, 정밀의료
- 이메일 : hykim82@yuhs.ac
- 위치 : 의과대학 신관 609호
- 연락처 : 02-2228-7397
연구분야
의료인공지능, 의료데이터과학, 정밀의료
Finding Integrated Imaging Biomarker for Cancer/Cardiac Diseases/Infectious Diseases
Basic AI/ML Research for Trustworthy Medical AI system
Standardization of AI-based Medical Devices and Medical Big Data
Finding Integrated Imaging Biomarker for Cancer/Cardiac Diseases/Infectious Diseases
Basic AI/ML Research for Trustworthy Medical AI system
Standardization of AI-based Medical Devices and Medical Big Data
소속 및 경력
연세대학교 의과대학 의생명시스템정보학교실 연구조교수 (2018-현재)
연세대학교 의과대학 융합의학과 겸직교수 (2019-현재)
연세대학교 인공지능대학원 겸직교수 (2020-현재)
Cleveland Clinic, Heart and Vascular Institute 방문교수 (2019)
인공지능연구원 선임연구원 (2017-2018)
제주대학교병원 방사선종양학과 의학물리학자 (2015-2017)
서울대학교병원 의생명연구원 연구원 (2009-2017)
서울대학교 의과대학 방사선의학연구소 연구원 (2011-2014)
[학술경력]
대한의료인공지능학회 총무이사 (2021-현재)
대한의학영상정보학회 홍보이사 (2021-현재)
북미영상의학회(RSNA), 미국의학물리학회(AAPM) 회원
대한영상의학회, 대한방사선종양학회, 한국의학물리학회 회원
IEC TC62 SNAIG AG 멤버 (2020-현재)
ISO/IEC JTC1/WG12 멤버 (2021-현재)
식품의약품안전처 의료기기규제과학위원회 위원 (2020-현재)
연세대학교 의과대학 융합의학과 겸직교수 (2019-현재)
연세대학교 인공지능대학원 겸직교수 (2020-현재)
Cleveland Clinic, Heart and Vascular Institute 방문교수 (2019)
인공지능연구원 선임연구원 (2017-2018)
제주대학교병원 방사선종양학과 의학물리학자 (2015-2017)
서울대학교병원 의생명연구원 연구원 (2009-2017)
서울대학교 의과대학 방사선의학연구소 연구원 (2011-2014)
[학술경력]
대한의료인공지능학회 총무이사 (2021-현재)
대한의학영상정보학회 홍보이사 (2021-현재)
북미영상의학회(RSNA), 미국의학물리학회(AAPM) 회원
대한영상의학회, 대한방사선종양학회, 한국의학물리학회 회원
IEC TC62 SNAIG AG 멤버 (2020-현재)
ISO/IEC JTC1/WG12 멤버 (2021-현재)
식품의약품안전처 의료기기규제과학위원회 위원 (2020-현재)
학력사항
2000 – 2005 한국과학기술원(KAIST) 전산학 학사
2010 – 2016 서울대학교 의과대학 의학물리학 박사
2010 – 2016 서울대학교 의과대학 의학물리학 박사
교육 및 연구경력
기타 학술 경력
[논문]
• Hyunwoo Yang, Hwiyoung Kim*, In-ho Cha, Young-Soo Jung, Woong Nam, Jun young Kim, Jin-Kyu Kim, Yoon Hyeon Kim, Tae Gyeong Oh, Sang-Sun Han, Hyung Jun Kim, and Dongwook Kim*, “Automated detection of cyst and tumors of the jaw using deep learning in panoramic radiographs”, Journal of Clinical Medicine (2020, *공동교신, IF=5.583)
• Sohi Bae, Chansik An, Sung Soo Ahn*, Hwiyoung Kim*, Kyunghwa Han, Sang Wook Kim, Ji Eun Park, Ho Sung Kim, and Seung-Koo Lee, " Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: Model development and validation", Scientific Reports (2020, *공동교신, accepted for publication, IF=4.011)
• Beomseok Sohn, Yoon Seong Choi, Sung Soo Ahn, Hwiyoung Kim, Sang Wook Kim, Kyunghwa Han, Seung-Koo Lee, and Jinna Kim, “Machine learning based radiomic HPV phenotyping of oropharyngeal SCC: a feasibility study using MRI”, Laryngoscope (2020, accepted for publication, IF=2.343)
• Hwiyoung Kim, Dae Chul Jung, and Byoung Wook Choi, “Exploiting the Vulnerability of Deep Learning-Based Artificial Intelligence Models in Medical Imaging: Adversarial Attacks”, Journal of Korean Society of Radiology 80:2 (2019, review article)
• Donghoon Lee, Hwiyoung Kim, Byoung Wook Choi, and Hee-Joung Kim, “Development of a Deep Neural Network for Generating Synthetic Dual-Energy Chest X-Ray Images With Single X-Ray Exposure”, Phys Med Biol (2019, IF=3.030)
• Dong Wook Kim, Hwiyoung Kim, Woong Nam, Hyung Jun Kim, In-Ho Cha, “Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction”, Bone 116 (2018, IF=4.360)
• Hwiyoung Kim, Hyunseok Lee, Jong In Park, Chang Heon Choi, So-Yeon Park, Hee Jung Kim, Young Suk Kim, and Sung-Joon Ye, “Smartphone application for mechanical quality assurance of medical linear accelerators”, Phys Med Biol. 62:11, N254-270 (2017, IF=2.742)
• Hyunwoo Yang, Hwiyoung Kim*, In-ho Cha, Young-Soo Jung, Woong Nam, Jun young Kim, Jin-Kyu Kim, Yoon Hyeon Kim, Tae Gyeong Oh, Sang-Sun Han, Hyung Jun Kim, and Dongwook Kim*, “Automated detection of cyst and tumors of the jaw using deep learning in panoramic radiographs”, Journal of Clinical Medicine (2020, *공동교신, IF=5.583)
• Sohi Bae, Chansik An, Sung Soo Ahn*, Hwiyoung Kim*, Kyunghwa Han, Sang Wook Kim, Ji Eun Park, Ho Sung Kim, and Seung-Koo Lee, " Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: Model development and validation", Scientific Reports (2020, *공동교신, accepted for publication, IF=4.011)
• Beomseok Sohn, Yoon Seong Choi, Sung Soo Ahn, Hwiyoung Kim, Sang Wook Kim, Kyunghwa Han, Seung-Koo Lee, and Jinna Kim, “Machine learning based radiomic HPV phenotyping of oropharyngeal SCC: a feasibility study using MRI”, Laryngoscope (2020, accepted for publication, IF=2.343)
• Hwiyoung Kim, Dae Chul Jung, and Byoung Wook Choi, “Exploiting the Vulnerability of Deep Learning-Based Artificial Intelligence Models in Medical Imaging: Adversarial Attacks”, Journal of Korean Society of Radiology 80:2 (2019, review article)
• Donghoon Lee, Hwiyoung Kim, Byoung Wook Choi, and Hee-Joung Kim, “Development of a Deep Neural Network for Generating Synthetic Dual-Energy Chest X-Ray Images With Single X-Ray Exposure”, Phys Med Biol (2019, IF=3.030)
• Dong Wook Kim, Hwiyoung Kim, Woong Nam, Hyung Jun Kim, In-Ho Cha, “Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction”, Bone 116 (2018, IF=4.360)
• Hwiyoung Kim, Hyunseok Lee, Jong In Park, Chang Heon Choi, So-Yeon Park, Hee Jung Kim, Young Suk Kim, and Sung-Joon Ye, “Smartphone application for mechanical quality assurance of medical linear accelerators”, Phys Med Biol. 62:11, N254-270 (2017, IF=2.742)