[Journal Publication]

January 14, 2017 Congratulations!!! A paper on deep ensemble learning of sparse regression models has been accepted for publication in Medical Image Analysis. H.-I. SUK, S.-W. Lee, and D. Shen, “Deep Ensemble Learning of Sparse Regression Models for Brain Disease Diagnosis,” Medical Image Analysis (2015-JCR-IF: 4.565, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: 8/130, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS: 4/104, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 11/124. ENGINEERING, BIOMEDICAL: 7/76, Accepted)

Prospective Graduate Students

January 5, 2017 We are looking for graduate students to conduct researches together in MiLab.  Admissions The successful candidate should have a good background in computer science/engineering (programming skills: MATLAB, C/C++, Python, etc.), digital image/signal processing, probability/statistics, linear algebra, calculus, etc. Funding The students will be funded for the tuition fee and living expenses by being involved in projects or via TA/RA fellowships. Contact If interested, please contact to Prof. Heung-Il Suk (hisuk AT korea DOT ac DOT kr).