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Hakmook Kang
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2020 – today
- 2024
- [j10]Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphaël C.-W. Phan, Hernando C. Ombao:
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. IEEE J. Biomed. Health Informatics 28(3): 1644-1655 (2024) - 2023
- [j9]Leah G. Mann, Mathieu Servant, Kaitlyn R. Hay, Alexander K. Song, Paula Trujillo, Bailu Yan, Hakmook Kang, David H. Zald, Manus J. Donahue, Gordon D. Logan, Daniel O. Claassen:
The Role of a Dopamine-Dependent Limbic-Motor Network in Sensory Motor Processing in Parkinson Disease. J. Cogn. Neurosci. 35(11): 1806-1822 (2023) - [c13]Lucie Dole, Kurt G. Schilling, Hakmook Kang, John C. Gore, Bennett A. Landman:
Harmonization of repetition time and scanner effects on estimates of brain hemodynamic response function. Medical Imaging: Image Processing 2023 - 2022
- [c12]Can Cui, Samuel R. Johnson, Cullen P. Moran, Katherine S. Hajdu, Joanna Shechtel, John J. Block, Brian Bingham, David Smith, Leo Y. Luo, Hakmook Kang, Jennifer L. Halpern, Herbert S. Schwartz, Ginger E. Holt, Joshua M. Lawrenz, Benoit M. Dawant:
Multi-modality classification between myxofibrosarcoma and myxoma using radiomics and machine learning models. Medical Imaging: Computer-Aided Diagnosis 2022 - [c11]Leon Y. Cai, Costin Tanase, Adam W. Anderson, Karthik Ramadass, Francois Rheault, Chelsea A. Lee, Niral J. Patel, Sky Jones, Lauren M. LeStourgeon, Alix Mahon, Sumit Pruthi, Kriti Gwal, Arzu Ozturk, Hakmook Kang, Nicole Glaser, Simona Ghetti, Sarah S. Jaser, Lori C. Jordan, Bennett A. Landman:
Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability. Medical Imaging: Image Processing 2022 - 2021
- [c10]Chang Yu, Yue Liu, Leon Y. Cai, Cailey I. Kerley, Kaiwen Xu, Warren D. Taylor, Hakmook Kang, Andrea T. Shafer, Lori L. Beason-Held, Susan M. Resnick, Bennett A. Landman, Ilwoo Lyu:
Validation of group-wise registration for surface-based functional MRI analysis. Medical Imaging: Image Processing 2021 - [i1]Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphael C.-W. Phan, Brian D. Boyd, Warren D. Taylor, Hernando C. Ombao:
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. CoRR abs/2107.12838 (2021)
2010 – 2019
- 2019
- [j8]Ilwoo Lyu, Hakmook Kang, Neil D. Woodward, Martin A. Styner, Bennett A. Landman:
Hierarchical spherical deformation for cortical surface registration. Medical Image Anal. 57: 72-88 (2019) - [j7]Paula Trujillo, Kalen J. Petersen, Matthew J. Cronin, Ya-Chen Lin, Hakmook Kang, Manus J. Donahue, Seth A. Smith, Daniel O. Claassen:
Quantitative magnetization transfer imaging of the human locus coeruleus. NeuroImage 200: 191-198 (2019) - [j6]Shikha Chaganti, Louise A. Mawn, Hakmook Kang, Josephine Egan, Susan M. Resnick, Lori L. Beason-Held, Bennett A. Landman, Thomas A. Lasko:
Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing. IEEE J. Biomed. Health Informatics 23(5): 2052-2062 (2019) - 2018
- [c9]Vishwesh Nath, Kurt G. Schilling, Allison E. Hainline, Prasanna Parvathaneni, Justin A. Blaber, Ilwoo Lyu, Adam W. Anderson, Hakmook Kang, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman:
SHARD: spherical harmonic-based robust outlier detection for HARDI methods. Medical Imaging: Image Processing 2018: 105740X - [c8]Ilwoo Lyu, Hakmook Kang, Neil D. Woodward, Bennett A. Landman:
Sulcal depth-based cortical shape analysis in normal healthy control and schizophrenia groups. Medical Imaging: Image Processing 2018: 1057402 - [c7]Prasanna Parvathaneni, Ilwoo Lyu, Yuankai Huo, Justin A. Blaber, Allison E. Hainline, Hakmook Kang, Neil D. Woodward, Bennett A. Landman:
Constructing statistically unbiased cortical surface templates using feature-space covariance. Medical Imaging: Image Processing 2018: 1057406 - [c6]Allison E. Hainline, Vishwesh Nath, Prasanna Parvathaneni, Justin A. Blaber, Baxter P. Rogers, Allen T. Newton, Jeffrey Luci, Heidi Edmonson, Hakmook Kang, Bennett A. Landman:
Evaluation of inter-site bias and variance in diffusion-weighted MRI. Medical Imaging: Image Processing 2018: 1057413 - 2017
- [j5]Hakmook Kang, Hernando C. Ombao, Christopher Fonnesbeck, Zhaohua Ding, Victoria L. Morgan:
A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data. Brain Connect. 7(4): 219-227 (2017) - 2016
- [c5]Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, Bennett A. Landman:
Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI. MICCAI (1) 2016: 81-88 - 2015
- [j4]Hakmook Kang, Jeffrey Blume, Hernando Ombao, David Badre:
Simultaneous control of error rates in fMRI data analysis. NeuroImage 123: 102-113 (2015) - [c4]Andrew J. Plassard, Patrick D. Kelly, Andrew J. Asman, Hakmook Kang, Mayur B. Patel, Bennett A. Landman:
Revealing latent value of clinically acquired CTs of traumatic brain injury through multi-atlas segmentation in a retrospective study of 1, 003 with external cross-validation. Medical Imaging: Image Processing 2015: 94130K - 2014
- [j3]Junzhong Xu, Hua Li, Kevin D. Harkins, Xiaoyu Jiang, Jingping Xie, Hakmook Kang, Mark D. Does, John C. Gore:
Mapping mean axon diameter and axonal volume fraction by MRI using temporal diffusion spectroscopy. NeuroImage 103: 10-19 (2014) - [j2]Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman:
Evaluation of Statistical Inference on Empirical Resting State fMRI. IEEE Trans. Biomed. Eng. 61(4): 1091-1099 (2014) - 2013
- [j1]Martha J. Holmes, Xue Yang, Bennett A. Landman, Zhaohua Ding, Hakmook Kang, Bassel Abou-Khalil, Hasan H. Sonmezturk, John C. Gore, Victoria L. Morgan:
Functional Networks in Temporal-Lobe Epilepsy: A Voxel-Wise Study of Resting-State Functional Connectivity and Gray-Matter Concentration. Brain Connect. 3(1): 22-30 (2013) - [c3]Hakmook Kang, Xue Yang, Frederick W. Bryan, Christina M. Tripp, Bennett A. Landman:
Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model. MBIA 2013: 170-179 - 2012
- [c2]Bennett A. Landman, Xue Yang, Hakmook Kang:
Do We Really Need Robust and Alternative Inference Methods for Brain MRI? MBIA 2012: 77-93 - [c1]Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman:
Quantitative Evaluation of Statistical Inference in Resting State Functional MRI. MICCAI (2) 2012: 246-253
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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