Ilwoo Lyu

(류일우)

Medical Information Processing Lab
Geometric AI Research Team
RIST Research Building IV, 4419
77 Cheongam-Ro, Pohang 37673, Korea
E-mail: ilwoolyu at postech ac kr
Phone: +82-54-279-5635

Affiliations: @POSTECH [CSE] [GSAI]
@Vanderbilt [CS] [VISE]
[Google Scholar] [GitHub]

Last Updated: February 2024

About Myself / Research Interests / Education / Employment / Publications / Teaching / Software

About Myself

I am an assistant professor of Computer Science and Engineering and Graduate School of Artificial Intelligence at Pohang University of Science and Technology (POSTECH) and an adjoint assistant professor of Computer Science at Vanderbilt University. Prior to joining POSTECH, I was an assistant professor of Computer Science and Engineering at Ulsan National Institute of Science and Technology (UNIST) and a research assistant professor of Electrical Engineering and Computer Science at Vanderbilt University. I earned my PhD in Computer Science at The University of North Carolina at Chapel Hill. My main research area intersects computer vision, machine learning, and medical image analysis. I am interested particularly in developing novel algorithms for 3D shape analysis based on computer vision and machine learning techniques to explore highly convoluted shapes. My research topics span data processing on non-regular grids including shape matching, geometric feature extraction, unstructured neural nets design, statistical shape analysis, and 3D visualization with applications to medical image analysis.

Research Interests


Education

The University of North Carolina at Chapel Hill
Doctor of Philosophy in Computer Science
2011 - 2017
Korea Advanced Institute of Science and Technology (KAIST)
Master of Science in Computer Science
2009 - 2011
KAIST
Bachelor of Science in Computer Science
2002 - 2009

Employment

POSTECH, Pohang, Korea
Assistant Professor
Feb 2024 - Present
Vanderbilt University, Nashville, TN, USA
Adjoint Assistant Professor
Mar 2021 - Present
UNIST, Ulsan, Korea
Assistant Professor
Mar 2021 - Feb 2024
MASI Lab, Vanderbilt University, Nashville, TN, USA
Research Assistant Professor
Mentor: Dr. Bennett Landman
Mar 2017 - Feb 2021
Neuro Image Research and Analysis Lab, UNC, Chapel Hill, NC, USA
Research Assistant
Advisor: Dr. Martin Styner
Dec 2011 - Feb 2017
IBM Almaden Reserach Center, San Jose, California, USA
Intern
Mentor: Drs. Tanveer F. Syeda-Mahmood and Colin B. Compas
May 2015 - Jul 2015
Computer Graphics Laboratory, KAIST, Daejeon, Korea
Research Assistant
Advisor: Drs. Sung Yong Shin and Joon-Kyung Seong
Jun 2010 - May 2011
Cognitive Robotic Vision Laboratory, KIST, Seoul, Korea
Intern
Mentor: Dr. Sung-Kee Park
Mar 2009 - May 2009

Selected Publications

[Expand] [Collapse]
SPHARM-Net: Spherical Harmonics-based Convolution for Cortical Parcellation [DOI] [PMID:35436188] [Abstract] [Software]
Seungbo Ha, Ilwoo Lyu
IEEE Transactions on Medical Imaging, 41(10), 2739-2751, 2022
Labeling Lateral Prefrontal Sulci using Spherical Data Augmentation and Context-aware Training [DOI] [PMID:33497773] [Abstract] [Software]
Ilwoo Lyu, Shunxing Bao, Lingyan Hao, Jewelia Yao, Jacob Miller, Willa Voorhies, Warren Taylor, Silvia Bunge, Kevin Weiner, Bennett Landman
NeuroImage, 229, 117758, 2021
Cortical Surface Parcellation using Spherical Convolutional Neural Networks [DOI] [PMID:31803864] [Abstract] [Software]
Prasanna Parvathaneni, Shunxing Bao, Vishwesh Nath, Neil Woodward, Daniel Claassen, Carissa Cascio, David Zald, Yuankai Huo, Bennett Landman, Ilwoo Lyu
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019, LNCS11766, 501-509, Shenzhen, China, 2019, early accept, travel award
Hierarchical Spherical Deformation for Cortical Surface Registration [DOI] [PMID:31280090] [Abstract] [Software]
Ilwoo Lyu, Hakmook Kang, Neil Woodward, Martin Styner, Bennett Landman
Medical Image Analysis, 57, 72-88, 2019
Hierarchical Spherical Deformation for Shape Correspondence [DOI] [PMID:31803863] [Abstract] [Software]
Ilwoo Lyu, Martin Styner, Bennett Landman
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018, LNCS11070, 853-861, Granada, Spain, 2018, early accept, oral presentation
A Cortical Shape-Adaptive Approach to Local Gyrification Index [DOI] [PMID:29990689] [Abstract] [Software]
Ilwoo Lyu, Sun Hyung Kim, Jessica Girault, John Gilmore, Martin Styner
Medical Image Analysis, 48, 244-258, 2018
TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction [DOI] [PMID:29969416] [Abstract] [Software]
Ilwoo Lyu, Sun Hyung Kim, Neil Woodward, Martin Styner, Bennett Landman
IEEE Transactions on Medical Imaging, 37(7), 1653-1663, 2018
Novel Local Shape-Adaptive Gyrification Index with Application to Brain Development [DOI] [Abstract] [Software]
Ilwoo Lyu, Sun Hyung Kim, Jessica Bullins, John Gilmore, Martin Styner
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2017, LNCS10433, 31-39, Quebec City, Quebec, Canada, 2017
Group-Wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization [DOI] [PMID:24683983] [Abstract] [Tutorial]
Ilwoo Lyu, Sun Hyung Kim, Joon-Kyung Seong, Sang Wook Yoo, Alan Evans, Yundi Shi, Mar Sanchez, Marc Niethammer, Martin Styner
Information Processing in Medical Imaging (IPMI) 2013, LNCS7917, 364-375, Asilomar, California, USA, 2013, oral presentation with open-ended discussion
Spectral-based Automatic Labeling and Refining of Human Cortical Sulcal Curves using Expert-Provided Examples [DOI] [PMID:20363334] [Abstract]
Ilwoo Lyu, Joon-Kyung Seong, Sung Yong Shin, Kiho Im, Jee Hoon Roh, Min-Jeong Kim, Geon Ha Kim, Jong Hun Kim, Alan Evans, Duk L. Na, Jong-Min Lee
NeuroImage, 52(1), 142-157, 2010
- Full List -

Teaching

Spring 2024: CSED703M 3D Medical Image Processing and Analysis, POSTECH, Korea
Instructor
Fall 2022, Fall 2023: CSE471 Introduction to Computer Graphics, UNIST, Korea
Instructor
Fall 2021: CSE472 Introduction to Computer Vision, UNIST, Korea
Instructor
Fall 2021: CSE421 Introduction to Database Systems, UNIST, Korea
Instructor
Spring 2021, Fall 2022, Spring 2023: CSE613 3D Shape Analysis in Neuroimaging, UNIST, Korea
Instructor

Software

The source codes in my publications are publicly available to the community for reproducible research. Many of them are also distributed as a software package imaged by Docker through my Docker repository or as Singularity images. In the Docker (or Singularity) environment, no package build/installation is required; everything is fully containerized in the Docker (Singularity) images. These tools can be run with a single command line after pulling the images from the Docker repository or Singularity distributions below. See more details about implementation, installation, usage, etc. at my GitHub profile or ShapeLab repo.

Containerized images (standalone applications) Github repositories