Hakmook Kang

According to our database, Hakmook Kang authored at least 24 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification.

Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphaël C.-W. Phan, Hernando C. Ombao

IEEE J. Biomed. Health Informatics, March, 2024

2023

The Role of a Dopamine-Dependent Limbic-Motor Network in Sensory Motor Processing in Parkinson Disease.

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

J. Cogn. Neurosci., November, 2023

Harmonization of repetition time and scanner effects on estimates of brain hemodynamic response function.

Lucie Dole, Kurt G. Schilling, Hakmook Kang, John C. Gore, Bennett A. Landman

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability.

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

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Multi-modality classification between myxofibrosarcoma and myxoma using radiomics and machine learning models.

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification.

Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphael C.-W. Phan, Brian D. Boyd, Warren D. Taylor, Hernando C. Ombao

CoRR, 2021

Validation of group-wise registration for surface-based functional MRI analysis.

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

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2019

Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing.

Shikha Chaganti, Louise A. Mawn, Hakmook Kang, Josephine Egan, Susan M. Resnick, Lori L. Beason-Held, Bennett A. Landman, Thomas A. Lasko

IEEE J. Biomed. Health Informatics, 2019

Quantitative magnetization transfer imaging of the human locus coeruleus.

Paula Trujillo, Kalen J. Petersen, Matthew J. Cronin, Ya-Chen Lin, Hakmook Kang, Manus J. Donahue, Seth A. Smith, Daniel O. Claassen

NeuroImage, 2019

Hierarchical spherical deformation for cortical surface registration.

Ilwoo Lyu, Hakmook Kang, Neil D. Woodward, Martin A. Styner, Bennett A. Landman

Medical Image Anal., 2019

2018

Constructing statistically unbiased cortical surface templates using feature-space covariance.

Prasanna Parvathaneni, Ilwoo Lyu, Yuankai Huo, Justin A. Blaber, Allison E. Hainline, Hakmook Kang, Neil D. Woodward, Bennett A. Landman

Proceedings of the Medical Imaging 2018: Image Processing, 2018

SHARD: spherical harmonic-based robust outlier detection for HARDI methods.

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

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Sulcal depth-based cortical shape analysis in normal healthy control and schizophrenia groups.

Ilwoo Lyu, Hakmook Kang, Neil D. Woodward, Bennett A. Landman

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Evaluation of inter-site bias and variance in diffusion-weighted MRI.

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

Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017

A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data.

Hakmook Kang, Hernando C. Ombao, Christopher Fonnesbeck, Zhaohua Ding, Victoria L. Morgan

Brain Connect., 2017

2016

Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI.

Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Simultaneous control of error rates in fMRI data analysis.

Hakmook Kang, Jeffrey Blume, Hernando Ombao, David Badre

NeuroImage, 2015

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.

Andrew J. Plassard, Patrick D. Kelly, Andrew J. Asman, Hakmook Kang, Mayur B. Patel, Bennett A. Landman

Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014

Evaluation of Statistical Inference on Empirical Resting State fMRI.

Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman

IEEE Trans. Biomed. Eng., 2014

Mapping mean axon diameter and axonal volume fraction by MRI using temporal diffusion spectroscopy.

Junzhong Xu, Hua Li, Kevin D. Harkins, Xiaoyu Jiang, Jingping Xie, Hakmook Kang, Mark D. Does, John C. Gore

NeuroImage, 2014

2013

Functional Networks in Temporal-Lobe Epilepsy: A Voxel-Wise Study of Resting-State Functional Connectivity and Gray-Matter Concentration.

Martha J. Holmes, Xue Yang, Bennett A. Landman, Zhaohua Ding, Hakmook Kang, Bassel Abou-Khalil, Hasan H. Sonmezturk, John C. Gore, Victoria L. Morgan

Brain Connect., 2013

Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model.

Hakmook Kang, Xue Yang, Frederick W. Bryan, Christina M. Tripp, Bennett A. Landman

Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

2012

Quantitative Evaluation of Statistical Inference in Resting State Functional MRI.

Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Do We Really Need Robust and Alternative Inference Methods for Brain MRI?

Bennett A. Landman, Xue Yang, Hakmook Kang

Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012