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Advancing medical imaging techniques to address the challenges in medicine
Our Graduate Students
Sunho Lim
Ph. D candidate
prefer416 at kaist.ac.kr
Deep Learning
Seoyoung Lee
Ph. D candidate
ether0 at kaist.ac.kr
Deep Learning, Deep Neural Network, Breast Imaging
Hwanhui Jo
Ph. D candidate
okpc426 at kaist.ac.kr
Cargo Inspection, Material Decomposition, Image Segmentation
Sungho Yun
Ph. D candidate
ysh3399 at kaist.ac.kr
Cone-beam CT, Metal Artifact Reduction, Deep Learning, Material Decomposition
Miran Park
Ph. D candidate
ranpark at kaist.ac.kr
Image correction
(Scatter, Beam Hardening, etc.)
Jongha Lee
Ph. D candidate
jongha.lee at kaist.ac.kr
CT Reconstruction, Tomosynthesis, Deep Learning
Sunhee Wi
Ph. D candidate
wi5425 at kaist.ac.kr
CT Reconstruction
Da-in Choi
Ph. D candidate
drchoi at kaist.ac.kr
Dental Imaging, CT reconstruction, Multi-energy CT, Photon Counting Detectors, Deep Learning
Hyoyi Kim
Ph. D candidate
hyoyikim at kaist.ac.kr
Compressed Sensing, Windmill Artifact, Helical CT
Joon-Il Hwang
Ph. D candidate
hji970425 at kaist.ac.kr
Motion estimation, Motion registration, Medical therapy
Subong Hyun
Ph. D candidate
hsb970 at kaist.ac.kr
Tomosynthesis,
Deep Learning (genrative model, unsupervised learning, etc.)
Yeonkyoung Choi
Ph. D candidate
natasha96 at kaist.ac.kr
CT Reconstruction
Donghyun Kim
Master candidate
dhkim at kaist.ac.kr
Deep Learning
Gibok Kim
Master candidate
rnbok at kaist.ac.kr
Deep learning, Image Segmentation
Cecilia Nova Wijaya
Master candidate
Cecilia.nova.wijaya at kaist.ac.kr
Deep learning
MIRLAB
Master candidate
Chanyoung Oh
Ph. D candidate
geundan5000 at kaist.ac.kr
Deep learning, Image segmentation
Raymond HyunWoo Moon
Ph. D candidate
ray96 at kaist.ac.kr
Deep learning, Medical Device Development
MIRLAB
Ph. D candidate