BISPL @ KAIST AI - BioImaging, Signal Processing, & machine Learning lab.
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    • NIRS-SPM
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    • Super-resolution Microscopy
    • Patch Low Rank MRI
    • Sparse SPM
    • ALOHA Inpainting
    • ALOHA for MR Recon
    • MR Artifact Removal using Robust ALOHA
    • MR Ghost Artifact correction using ALOHA
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BISPL Snapshots!

Graduation Party, Daejeon, Korea, 2019
Surprise Party, Montreal, Canada, May 15, 2019
ISMRM Plenary Talk, Montreal, Canada, May 14, 2019
ICMRI Plenary Talk, Seoul, Korea, March 30, 2019
ISMRM Machine Learning Workshop II Keynote, Washington DC, 2019
ABOUT US
Our research activities are primarily focused on the signal processing and machine learning  for high-resolution high-sensitivity image reconstruction from real world bomedical imaging systems. Such problems pose interesting challenges that often lead to investigations of fundamental problems in various branches of physics, mathematics, signal processing, biology, and medicine. While most of the biomedical imaging researchers are interested in addressing this problem using off-the-self tools from signal processing, machine learning, statistics, and optimization and combining their domain-specific knowledge, our approaches are unique in the sense that I believe that actual  imaging applications are a source of endless inspiration for new mathematical theories and we are eager to solve both specific applications and application-inspired fundamental theoretical problems. 
Our location
Graduate School of AI
KAIST
108  Taebong-ro, Seocho-gu,  Seoul,  06764
Republic of Korea


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