Investigators in MISL
Chinh Dinh Nguyen: signal Processing, machine learning, molecular Imaging
Ph.D.-ing Intelligent Precision Healthcare Convergence-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
Do Minh Thai: signal processing, machine learning, elastography
Ph.D.-ing Intelligent Precision Healthcare Convergence-Biomedical Engineering, Sungkyunkwan University
M.E. Electronics Engineering, 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 Intelligent Precision Healthcare Convergence-Biomedical Engineering, Sungkyunkwan University
B.S. Electronics Engineering, Iqra University, Pakistan
rtahira350 AT gmail.com
Annisa Salsabila: signal processing, machine learning, dynamic imaging for Alzheimer's Disease
M.S.-Ph.D.-ing Intelligent Precision Healthcare Convergence-Biomedical Engineering, Sungkyunkwan University
B.S. Electrical Engineering, Bandung Institute of Technology, Indonesia
salsabila.imran AT gmail.com
Helsani Amelia: signal processing, machine learning, ASL for neuroimaging
M.S.-Ph.D.-ing Intelligent Precision Healthcare Convergence-Biomedical Engineering, Sungkyunkwan University
B.S. Biomedical Engineering, Airlangga University, Indonesia
helsaniameliaa AT gmail.com
Tuan Van Dinh: signal processing, machine learning, prediction of Alzheimer's Disease
Ph.D.-ing Intelligent Precision Healthcare Convergence-Biomedical Engineering, Sungkyunkwan University
M.S. Mathematics Informatics, Hanoi University of Science and Technology, Vietnam
B.S. Mechatronics, Hanoi University of Science and Technology, Vietnam
dvtbka AT gmail.com
Tien Doan-Minh Luong: signal processing, machine learning, elastography
M.S.-Ph.D.-ing Intelligent Precision Healthcare Convergence-Biomedical Engineering, Sungkyunkwan University
B.S. Biomedical Engineering, International University, VNU, Vietnam
luongtien257 AT g.skkuy.edu
Duong Le Tuong Khang: signal processing, machine learning, flow imaging
M.S.-Ph.D.-ing Intelligent Precision Healthcare Convergence-Biomedical Engineering, Sungkyunkwan University
B.S. Computer Science, University of Information Technology, VNU, Vietnam
khangdlt1010 AT gmail.com
Toan Le Thi Hieu: signal processing, machine learning, neuroimaging
Ph.D.-ing Intelligent Precision Healthcare Convergence-Biomedical Engineering, Sungkyunkwan University
M.S. North Dakota State University, USA
B.S. Biomedical Engineering, International University, VNU, Vietnam
toantht97 AT gmail.com
Phakin Borwonpkapnit: signal processing, machine learning
M.S.-Ph.D.-ing Intelligent Precision Healthcare Convergence-Biomedical Engineering, Sungkyunkwan University
B.S. Biomedical Engineering, International University, VNU, Vietnam
toantht97 AT gmail.com
Seyon Kim: signal processing, machine learning
M.S.-Ph.D.-ing Intelligent Precision Healthcare Convergence-Biomedical Engineering, Sungkyunkwan University
B.S. Computer Engineering, Hankuk University of Foreign Studies
ssen98123 AT gmail.com
Seokjin Ha: signal processing, molecular Imaging, machine learning
M.S.-Ph.D.-ing Biomedical Engineering, Sungkyunkwan University
B.S. Biomedical Engineering, Chiangmai University
phakinkamsuya AT gmail.com
Internships in MISL
Alumni in MISL
Ph.D.
Thesis: Rapid High Resolution Diffusion Tensor Magnetic Resonance Imaging
Postdoctoral Research Fellow, Sungkyunkwan University
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
M.S.
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 |