Bio Imaging & Signal Processing Lab
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    • NIRS-SPM
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    • ALOHA Inpainting
    • Robust ALOHA
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    • MR Ghost Artifact correction using ALOHA
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Students


Alumni

Researchers

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Sungjun Lim
Email:​sungjames@kaist.ac.kr

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Shujaat Khan
Email: ​shujaat@kaist.ac.kr 

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Junyoung Kim
Email: kjy0111@kaist.ac.kr 


Ph.D. Students

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Dongwook Lee
E-mail: dongwook.lee@kaist.ac.kr
Research: dynamic MRI

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Yoseob Han
E-mail: hanyoseob@kaist.ac.kr
Research: x-ray CT

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Jawook Gu
E-mail: jwisdom9299@kaist.ac.kr
Research: x-ray CT

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Byung-Hoon Kim
E-mail: egyptdj​@kaist.ac.kr


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Juyoung Lee
E-mail: juyounglee@kaist.ac.kr
Research: dynamic MRI

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Eunhee Kang
E-mail: keh0220@kaist.ac.kr
Research: x-ray CT

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Eunju Cha
E-mail: eunju.cha@kaist.ac.kr
Research: MRI


M.S. Students

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Jaeyoung Huh
Email: ​woori93@kaist.ac.kr

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Boah Kim
E-mail: kba0111​@kaist.ac.kr


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Yongrae Cho
Email: yong6309@kaist.ac.kr



Undergraduate Trainees
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Jungsol Kim
Email: wjdthf3927@kaist.ac.kr

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Taesung Kwon
Email: rnjsxotjd5@kaist.ac.kr

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Ha Young Hur
Emai: lina15073@kaist.ac.kr

ABOUT US
We are interested in novel bio-imaging and signal processing techniques that can greatly enhance our ability to monitor biological structures and functions. The mathematical tool of BISPL is a new signal processing theory called "compressed sensing". According to compressed sensing theory, perfect reconstruction is possible even from sampling rates dramatically smaller than the Nyquist sampling limit, as long as the non-zero spectral signal is sparse and the samples are obtained with an incoherent basis. From the bio imaging perspective, compressed sensing is a disruptive technology that challenges our current imaging principles. Therefore, our current research activities have been focused on demonstration of new proof-of-concept bioimaging tools for the aforementioned real bio-imaging applications .
CONTACT US
Bio Imaging & Signal Processing Lab. 
Dept. of Bio & Brain Engineering 
KAIST
291 Daehak-ro, Yuseong-gu
Daejeon 305-701, Korea

Copyright (c) 2014, BISPL
All Rights Reserved.

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