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, 750-757, 2018 | 84 | 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 | 83 | 2020 |
High-resolution 3D abdominal segmentation with random patch network fusion Y Tang, R Gao, HH Lee, S Han, Y Chen, D Gao, V Nath, C Bermudez, ... Medical image analysis 69, 101894, 2021 | 63 | 2021 |
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 | 52 | 2016 |
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 | 45 | 2019 |
Inter-scanner harmonization of high angular resolution DW-MRI using null space deep learning V Nath, P Parvathaneni, CB Hansen, AE Hainline, C Bermudez, ... Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain …, 2019 | 37 | 2019 |
Hierarchical spherical deformation for cortical surface registration I Lyu, H Kang, ND Woodward, MA Styner, BA Landman Medical Image Analysis 57, 72-88, 2019 | 35 | 2019 |
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, 304-314, 2018 | 35 | 2018 |
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 | 34 | 2018 |
Pandora: 4-D white matter bundle population-based atlases derived from diffusion MRI fiber tractography CB Hansen, Q Yang, I Lyu, F Rheault, C Kerley, BQ Chandio, S Fadnavis, ... Neuroinformatics 19, 447-460, 2021 | 30 | 2021 |
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 | 30 | 2010 |
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 | 29 | 2018 |
Cortical surface parcellation using spherical convolutional neural networks P Parvathaneni, S Bao, V Nath, ND Woodward, DO Claassen, CJ Cascio, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 27 | 2019 |
Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training I Lyu, S Bao, L Hao, J Yao, JA Miller, W Voorhies, WD Taylor, SA Bunge, ... NeuroImage 229, 117758, 2021 | 25 | 2021 |
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 | 25 | 2015 |
Uncovering a tripartite landmark in posterior cingulate cortex EH Willbrand, BJ Parker, WI Voorhies, JA Miller, I Lyu, T Hallock, ... Science Advances 8 (36), eabn9516, 2022 | 24 | 2022 |
Body part regression with self-supervision Y Tang, R Gao, S Han, Y Chen, D Gao, V Nath, C Bermudez, MR Savona, ... IEEE transactions on medical imaging 40 (5), 1499-1507, 2021 | 24 | 2021 |
Fast polynomial approximation of heat kernel convolution on manifolds and its application to brain sulcal and gyral graph pattern analysis SG Huang, I Lyu, A Qiu, MK Chung IEEE transactions on medical imaging 39 (6), 2201-2212, 2020 | 23 | 2020 |
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 | 20 | 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 Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 19 | 2013 |