Ilwoo Lyu

(류일우)

3D Shape Analysis Lab (ShapeLab)
Computer Science and Engineering
Engineering Bldg. 106, 801-5
50 UNIST-gil, Ulsan 44919, Korea
E-mail: ilwoolyu at unist ac kr
Phone: +82-52-217-2298

Affiliations: @UNIST [CSE] [BME]
@Vanderbilt [CS] [VISE]
[Google Scholar] [dblp] [GitHub]

Last Updated: November 2021

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

About Myself

I am an assistant professor of Computer Science and Engineering at Ulsan National Institute of Science and Technology (UNIST) and an adjoint assistant professor of Electrical Engineering and Computer Science at Vanderbilt University. Prior to joining UNIST, I was 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 non-Euclidean data processing including shape matching, geometric feature extraction, unstructured neural nets design, statistical shape analysis, and 3D visualization with applications to medical image analysis. Please visit 3D Shape Analysis Lab (ShapeLab) for more information.

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

UNIST, Ulsan, Korea
Assistant Professor
Mar 2021 - Present
Vanderbilt University, Nashville, TN, USA
Adjoint Assistant Professor
Mar 2021 - Present
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: Dr. Tanveer F. Syeda-Mahmood and Dr. Colin B. Compas
May 2015 - Jul 2015
Computer Graphics Laboratory, KAIST, Daejeon, Korea
Research Assistant
Advisor: Dr. Sung Yong Shin and Dr. 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]
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

Fall 2021: CSE472 Introduction to Computer Vision, UNIST, Korea
Instructor
Aug 2021 - Present
Fall 2021: CSE421 Introduction to Database Systems, UNIST, Korea
Instructor
Aug 2021 - Present
Spring 2021: CSE613 3D Shape Analysis in Neuroimaging, UNIST, Korea
Instructor
Mar 2021 - June 2021
Fall 2020: CS8395 Open Source Programming for Medical Image Analysis - Surface-based Cortical Shape Analysis, Vanderbilt University, USA
Guest Lecturer
Oct 2020
Fall 2019: CS8395 Open Source Programming for Medical Image Analysis - Cortical Surface Reconstruction and Shape Analysis, Vanderbilt University, USA
Guest Lecturer
Oct 2019
Fall 2019: CS4262 Foundations of Machine Learning - Machine Learning for Brain Image Analysis, Vanderbilt University, USA
Guest Lecturer
Sep 2019
Fall 2017, Fall 2019: SC3250 Scientific Computing - Introduction to Copmuter Vision with Applications, Vanderbilt University, USA
Guest Lecturer
Sep 2017, Sep 2019
Summer 2019: Vanderbilt Data Science Institute Summer Research Program (DSI-SRP) , Vanderbilt University, USA
Mentor
May 2019 - Jul 2019
Spring 2014: COMP915 Technical Communication in Computer Science, UNC, USA
Trainee
Jan 2014 - May 2014
Fall 2010: CS300 Introduction to Algorithms, KAIST, Korea
Teaching Assistant
Sep 2010 - Dec 2010
Fall 2009: CS202 Problem Solving, KAIST, Korea
Teaching Assistant
Sep 2009 - Dec 2009
Tutoring Program for Freshman: JAVA language, KAIST, Korea
Private Tutor
Feb 2008 - Dec 2008

Podium Talks

Hierarchical Spherical Deformation for Shape Correspondence, MICCAI 2018, Granada, Spain
Sep 2018
Sulcal Depth-based Cortical Shape Analysis in Normal Healthy Control and Schizophrenia Groups, SPIE Medical Imaging 2018, Houston, Texas, USA
Feb 2018
Cortical Surface Registration and Shape Analysis, VISE Summer Seminar 2017, Vanderbilt University, Nashville, Tennessee, USA
Jul 2017
Cortical Surface Shape Assessment via Sulcal/Gyral Curve-based Gyrification Index, ISBI 2016, Prague, Czech Republic
Apr 2016
Group-wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization, IPMI 2013, Asilomar, California, USA
Jun 2013

Software

The source codes in my publications are publicly available under the MIT license. The software package imaged by Docker is distributed 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. All my 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.

Containerized images (standalone applications) Github repositories