Investigators in MISL
Joon Sik Park: Signal processing, microvascular function
Postdoctoral Scholar, BK21 Intelligent Precision Healthcare, Sungkyunkwan University
Ph.D. Biomedical Engineering, Sungkyunkwan University
B.S. Electrical Engineering, Korea University, Seoul, Korea
jsp87works AT gmail.com
Hyunkyung Maeng: Signal processing, diffusion imaging
Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
B.S. Information and Communication Engineering, Korea University, Seoul, Korea
mhk0721 AT gmail.com
Chinh Dinh Nguyen: Signal Processing, machine learning, molecular Imaging
Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
M.E. Electronics, University of Engineering and Technology, VNU, Hanoi
B.S. Electronics, University of Engineering and Technology, VNU, Hanoi
chinh171092 AT g.skku.edu
Ariunbold Jargalsaikhan: Signal processing, machine learning, microvascular imaging
M.S.-Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
B.S. Software Engineering, National University of Mongolia, Mongolia
ariukajagaa AT gmail.com
Do Minh Thai: Signal processing, machine learning, Elastography
Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
M.E. Electronics Engineering, Ho Chi Minh City University of Technology, VNU, Vietnam
B.E. Electronics and Telecommunication Technology, Ho Chi Minh City University of Technology and Education, Vietnam
thaiminhdo AT g.skku.edu
Tahira Rafiq: Signal processing, machine learning, Neurofluid Imaging
M.S.-Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
B.S. Electronics Engineering, Iqra University, Pakistan
rtahira350 AT gmail.com
Annisa Salsabila: Signal processing, machine learning
M.S.-Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
B.S. Electrical Engineering, Bandung Institute of Technology, Indonesia
salsabila.imran AT gmail.com
Postdoctoral Scholar, BK21 Intelligent Precision Healthcare, Sungkyunkwan University
Ph.D. Biomedical Engineering, Sungkyunkwan University
B.S. Electrical Engineering, Korea University, Seoul, Korea
jsp87works AT gmail.com
Hyunkyung Maeng: Signal processing, diffusion imaging
Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
B.S. Information and Communication Engineering, Korea University, Seoul, Korea
mhk0721 AT gmail.com
Chinh Dinh Nguyen: Signal Processing, machine learning, molecular Imaging
Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
M.E. Electronics, University of Engineering and Technology, VNU, Hanoi
B.S. Electronics, University of Engineering and Technology, VNU, Hanoi
chinh171092 AT g.skku.edu
Ariunbold Jargalsaikhan: Signal processing, machine learning, microvascular imaging
M.S.-Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
B.S. Software Engineering, National University of Mongolia, Mongolia
ariukajagaa AT gmail.com
Do Minh Thai: Signal processing, machine learning, Elastography
Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
M.E. Electronics Engineering, Ho Chi Minh City University of Technology, VNU, Vietnam
B.E. Electronics and Telecommunication Technology, Ho Chi Minh City University of Technology and Education, Vietnam
thaiminhdo AT g.skku.edu
Tahira Rafiq: Signal processing, machine learning, Neurofluid Imaging
M.S.-Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
B.S. Electronics Engineering, Iqra University, Pakistan
rtahira350 AT gmail.com
Annisa Salsabila: Signal processing, machine learning
M.S.-Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
B.S. Electrical Engineering, Bandung Institute of Technology, Indonesia
salsabila.imran AT gmail.com
Alumni in MISL
Ph.D.
Eunji Lim, Ph.D., 2022:
Thesis: Generalized Self-Calibrating Simultaneous Multislice Imaging
Postdoctoral Research Fellow, Imperial College London, England
Joon Sik Park, Ph.D., 2021:
Thesis: Thesis: High-definition dynamic magnetic resonance imaging for vascular structure and function
Postdoctoral Research Fellow, National Institute of Health, USA
Hoonjae Lee, Ph.D., 2019:
Thesis: Model based molecular magnetic resonance imaging
Startup: AI Industry
Hyunyeol Lee, Ph.D., 2015:
Thesis: Steady state free precession magnetic resonance electrical impedance tomography
Professor, Department of Electrical Engineering (전자공학부), Kyungpook National University
Suhyung Park, Ph.D., 2015:
Thesis: Accelerated Magnetic Resonance Imaging From Incomplete Measurements
Professor, Department of Computer Engineering (컴퓨터정보통신대학), Chonnam National University
Hahnsung Kim, Ph.D., 2015:
Thesis: Rapid, high-resolution volumetric magnetic resonance imaging
Postdoctoral Research Fellow, Emory University, USA
Thesis: Generalized Self-Calibrating Simultaneous Multislice Imaging
Postdoctoral Research Fellow, Imperial College London, England
Joon Sik Park, Ph.D., 2021:
Thesis: Thesis: High-definition dynamic magnetic resonance imaging for vascular structure and function
Postdoctoral Research Fellow, National Institute of Health, USA
Hoonjae Lee, Ph.D., 2019:
Thesis: Model based molecular magnetic resonance imaging
Startup: AI Industry
Hyunyeol Lee, Ph.D., 2015:
Thesis: Steady state free precession magnetic resonance electrical impedance tomography
Professor, Department of Electrical Engineering (전자공학부), Kyungpook National University
Suhyung Park, Ph.D., 2015:
Thesis: Accelerated Magnetic Resonance Imaging From Incomplete Measurements
Professor, Department of Computer Engineering (컴퓨터정보통신대학), Chonnam National University
Hahnsung Kim, Ph.D., 2015:
Thesis: Rapid, high-resolution volumetric magnetic resonance imaging
Postdoctoral Research Fellow, Emory University, USA
M.S.
Jongwook Song, M.S., 2017:
Thesis: Feasibility of accelerated data acquisition of fMRI and comparison of reconstruction method
Samsung Electronics
Sangcheon Choi, M.S., 2012:
Thesis: Imaging Denoising in Slice Encoding for Metal Artifact Correction Exploiting Sparsity and Structured Low Rank Matrix
Samsung Electronics
Thesis: Feasibility of accelerated data acquisition of fMRI and comparison of reconstruction method
Samsung Electronics
Sangcheon Choi, M.S., 2012:
Thesis: Imaging Denoising in Slice Encoding for Metal Artifact Correction Exploiting Sparsity and Structured Low Rank Matrix
Samsung Electronics
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Medical Imaging and Signal Laboratory Department of Biomedical Engineering SungKyunKwan University Republic of Korea 440-746 |