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Dongjin Kwon
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
20642018
Altered brain developmental trajectories in adolescents after initiating drinking
A Pfefferbaum, D Kwon, T Brumback, WK Thompson, K Cummins, ...
American Journal of Psychiatry, appi. ajp. 2017.17040469, 2017
2172017
Adolescent development of cortical and white matter structure in the NCANDA sample: role of sex, ethnicity, puberty, and alcohol drinking
A Pfefferbaum, T Rohlfing, KM Pohl, B Lane, W Chu, D Kwon, ...
Cerebral Cortex 26 (10), 4101-4121, 2016
1652016
Identifying the best machine learning algorithms for brain tumor segmentation
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
progression assessment, and overall survival prediction in the BRATS …, 2018
1372018
Combining generative models for multifocal glioma segmentation and registration
D Kwon, RT Shinohara, H Akbari, C Davatzikos
International Conference on Medical Image Computing and Computer-Assisted …, 2014
1312014
Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study
KM Pohl, EV Sullivan, T Rohlfing, W Chu, D Kwon, BN Nichols, Y Zhang, ...
Neuroimage 130, 194-213, 2016
962016
The role of aging, drug dependence, and hepatitis C comorbidity in alcoholism cortical compromise
EV Sullivan, NM Zahr, SA Sassoon, WK Thompson, D Kwon, KM Pohl, ...
JAMA psychiatry 75 (5), 474-483, 2018
852018
Accelerated and premature aging characterizing regional cortical volume loss in human immunodeficiency virus infection: contributions from alcohol, substance use, and hepatitis …
A Pfefferbaum, NM Zahr, SA Sassoon, D Kwon, KM Pohl, EV Sullivan
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 3 (10), 844-859, 2018
842018
The mediating role of cortical thickness and gray matter volume on sleep slow-wave activity during adolescence
A Goldstone, AR Willoughby, M de Zambotti, PL Franzen, D Kwon, ...
Brain Structure and Function 223, 669-685, 2018
692018
PORTR: Pre-operative and post-recurrence brain tumor registration
D Kwon, M Niethammer, H Akbari, M Bilello, C Davatzikos, KM Pohl
IEEE Transactions on Medical Imaging 33 (3), 651-667, 2014
692014
Influences of age, sex, and moderate alcohol drinking on the intrinsic functional architecture of adolescent brains
EM Müller-Oehring, D Kwon, BJ Nagel, EV Sullivan, W Chu, T Rohlfing, ...
Cerebral Cortex 28 (3), 1049-1063, 2018
632018
Rolled fingerprint acquisition apparatus and method for automatically detecting start and end of registration and synthesis
D Kwon, SJ Lee, BS Song, JW Lee
US Patent 8,463,002, 2013
622013
Regional growth trajectories of cortical myelination in adolescents and young adults: longitudinal validation and functional correlates
D Kwon, A Pfefferbaum, EV Sullivan, KM Pohl
Brain imaging and behavior 14 (1), 242-266, 2020
482020
Logistic regression confined by cardinality-constrained sample and feature selection
E Adeli, X Li, D Kwon, Y Zhang, KM Pohl
IEEE transactions on pattern analysis and machine intelligence 42 (7), 1713-1728, 2019
452019
Nonrigid image registration using dynamic higher-order MRF model
D Kwon, KJ Lee, ID Yun, SU Lee
European Conference on Computer Vision (ECCV), 373-386, 2008
412008
Robust segmentation of cerebral arterial segments by a sequential Monte Carlo method: Particle filtering
H Shim, D Kwon, ID Yun, SU Lee
Computer Methods and Programs in Biomedicine 84 (2), 135-145, 2006
412006
Fingerprint matching method using minutiae clustering and warping
D Kwon, ID Yun, DH Kim, SU Lee
International Conference on Pattern Recognition (ICPR), 525-528, 2006
412006
Distribution of brain iron accrual in adolescence: Evidence from cross‐sectional and longitudinal analysis
ET Peterson, D Kwon, B Luna, B Larsen, D Prouty, MD De Bellis, ...
Human brain mapping 40 (5), 1480-1495, 2019
372019
Optical flow estimation with adaptive convolution kernel prior on discrete framework
KJ Lee, D Kwon, ID Yun, SU Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2504-2511, 2010
352010
Extracting patterns of morphometry distinguishing HIV associated neurodegeneration from mild cognitive impairment via group cardinality constrained classification
Y Zhang, D Kwon, P Esmaeili‐Firidouni, A Pfefferbaum, EV Sullivan, ...
Human Brain Mapping 37 (12), 4523-4538, 2016
342016
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