| 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 | 2170 | 2018 |
| 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 | 220 | 2017 |
| 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 | 169 | 2016 |
| 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 | 156 | 2018 |
| 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 | 131 | 2014 |
| 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 | 96 | 2016 |
| 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 | 87 | 2018 |
| 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 | 86 | 2018 |
| 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 | 70 | 2018 |
| 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 | 69 | 2014 |
| 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 | 68 | 2013 |
| 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 | 64 | 2018 |
| 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 | 49 | 2020 |
| 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 | 48 | 2019 |
| 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 | 43 | 2006 |
| 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 | 41 | 2019 |
| 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 | 41 | 2008 |
| 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 | 41 | 2006 |
| 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 | 35 | 2010 |
| 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 | 34 | 2016 |
Kilian M. PohlProfessor, Department of Psychiatry and (by courtesy) Electrical Engineering, Stanford UniversityVerified email at stanford.edu
