Prof. Jong Chul Ye will be a plenary speaker for ICMRI 2019, Seoul. He will talk about the recent machine learning breakthrough for accelerated MRI. Stay tuned !
Jeong., et al. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
BISPL@KAIST AI
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, machine learning, and physics. |
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 bio-medical 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 bio-medical 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.
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CONTACT US
Bio Imaging. Signal Processing & Learning
Graduate School of AI KAIST 291 Daehak-ro, Yuseong-gu Daejeon 305-701, Korea Copyright (c) 2014, BISPL All Rights Reserved. |
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