Bio Imaging & Signal Processing Lab
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Latest Research Highlight
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction

Kang E  et al, Medical Physics   (in press), 2017

See more

Call for Papers, "Machine Learning for Image Reconstruction" in IEEE Trans. on Medical Imaging.

3/5/2017

 
https://ieee-tmi.org/pdfs/TMI-Special-Issue-Machine-Learning-for-Image-Reconstruction.pdf
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    BISPL@KAIST

    BISPL is a group of people at KAIST who are eager to dedicate their time and effort to investigate the beauty of bio- and medical imaging with the help of mathematics and physics.

    Our Location
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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