Ilwoo Lyu
Ilwoo Lyu
Research Assistant Professor of EECS, Vanderbilt University
Verified email at - Homepage
Cited by
Cited by
Development of cortical shape in the human brain from 6 to 24 months of age via a novel measure of shape complexity
SH Kim, I Lyu, VS Fonov, C Vachet, HC Hazlett, RG Smith, J Piven, ...
NeuroImage 135, 163-176, 2016
Spectral-based automatic labeling and refining of human cortical sulcal curves using expert-provided examples
I Lyu, JK Seong, SY Shin, K Im, JH Roh, MJ Kim, GH Kim, JH Kim, ...
Neuroimage 52 (1), 142-157, 2010
Inter-scanner harmonization of high angular resolution DW-MRI using null space deep learning
V Nath, P Parvathaneni, CB Hansen, AE Hainline, C Bermudez, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Fully convolutional neural networks improve abdominal organ segmentation
MF Bobo, S Bao, Y Huo, Y Yao, J Virostko, AJ Plassard, I Lyu, A Assad, ...
Medical Imaging 2018: Image Processing 10574, 105742V, 2018
Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies
I Lyu, SH Kim, JK Seong, SW Yoo, A Evans, Y Shi, M Sanchez, ...
Frontiers in neuroscience 9, 210, 2015
Towards portable large-scale image processing with high-performance computing
Y Huo, J Blaber, SM Damon, BD Boyd, S Bao, P Parvathaneni, ...
Journal of digital imaging 31 (3), 304-314, 2018
Geodesic distances to landmarks for dense correspondence on ensembles of complex shapes
M Datar, I Lyu, SH Kim, J Cates, MA Styner, R Whitaker
International Conference on Medical Image Computing and Computer-Assisted …, 2013
TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction
I Lyu, SH Kim, ND Woodward, MA Styner, BA Landman
IEEE Transactions on Medical Imaging 37 (7), 1653-1663, 2018
Group-Wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization
I Lyu, SH Kim, JK Seong, SW Yoo, AC Evans, Y Shi, M Sanchez, ...
Information Processing in Medical Imaging, 364-375, 2013
A data colocation grid framework for big data medical image processing: backend design
S Bao, Y Huo, P Parvathaneni, AJ Plassard, C Bermudez, Y Yao, I Lyu, ...
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018
Network localization of clinical, cognitive, and neuropsychiatric symptoms in Alzheimer’s disease
AM Tetreault, T Phan, D Orlando, I Lyu, H Kang, B Landman, RR Darby, ...
Brain 143 (4), 1249-1260, 2020
Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI
V Nath, KG Schilling, P Parvathaneni, CB Hansen, AE Hainline, Y Huo, ...
Magnetic resonance imaging 62, 220-227, 2019
Automatic sulcal curve extraction on the human cortical surface
I Lyu, SH Kim, M Styner
Medical Imaging 2015: Image Processing 9413, 94130P, 2015
A Cortical Shape-Adaptive Approach to Local Gyrification Index
I Lyu, SH Kim, JB Girault, JH Gilmore, MA Styner
Medical Image Analysis 48, 244-258, 2018
Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields
S Bao, C Bermudez, Y Huo, P Parvathaneni, W Rodriguez, SM Resnick, ...
Magnetic resonance imaging 59, 143-152, 2019
Sulcal depth-based cortical shape analysis in normal healthy control and schizophrenia groups
I Lyu, H Kang, ND Woodward, BA Landman
Medical Imaging 2018: Image Processing 10574, 1057402, 2018
Novel local shape-adaptive gyrification index with application to brain development
I Lyu, SH Kim, J Bullins, JH Gilmore, MA Styner
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Multi-atlas segmentation with particle-based group-wise image registration
J Lee, I Lyu, M Styner
Medical Imaging 2014: Image Processing 9034, 903447, 2014
Harmonizing 1.5 T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators
V Nath, S Remedios, P Parvathaneni, CB Hansen, RG Bayrak, ...
Medical Imaging 2019: Image Processing 10949, 109490O, 2019
Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort
L Hao, S Bao, Y Tang, R Gao, P Parvathaneni, JA Miller, W Voorhies, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 412-415, 2020
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