| Semi-supervised nonnegative matrix factorization H Lee, J Yoo, S Choi IEEE Signal Processing Letters 17 (1), 4-7, 2009 | 241 | 2009 |
| Persistent brain network homology from the perspective of dendrogram H Lee, H Kang, MK Chung, BN Kim, DS Lee IEEE transactions on medical imaging 31 (12), 2267-2277, 2012 | 229 | 2012 |
| Non-negative matrix factorization with α-divergence A Cichocki, H Lee, YD Kim, S Choi Pattern Recognition Letters 29 (9), 1433-1440, 2008 | 172 | 2008 |
| Pca+ hmm+ svm for eeg pattern classification H Lee, S Choi Signal Processing and Its Applications, 2003. Proceedings. Seventh …, 2003 | 172 | 2003 |
| Sparse brain network recovery under compressed sensing H Lee, DS Lee, H Kang, BN Kim, MK Chung IEEE Transactions on Medical Imaging 30 (5), 1154-1165, 2011 | 159 | 2011 |
| Noninvasive BCIs: Multiway signal-processing array decompositions A Cichocki, Y Washizawa, T Rutkowski, H Bakardjian, AH Phan, S Choi, ... Computer 41 (10), 34-42, 2008 | 155 | 2008 |
| Nonnegative tensor factorization for continuous EEG classification H Lee, YD Kim, A Cichocki, S Choi International journal of neural systems 17 (04), 305-317, 2007 | 136 | 2007 |
| Discriminative persistent homology of brain networks H Lee, MK Chung, H Kang, BN Kim, DS Lee 2011 IEEE international symposium on biomedical imaging: from nano to macro …, 2011 | 94 | 2011 |
| Group nonnegative matrix factorization for EEG classification H Lee, S Choi Artificial Intelligence and Statistics, 320-327, 2009 | 90 | 2009 |
| Computing the shape of brain networks using graph filtration and Gromov-Hausdorff metric H Lee, MK Chung, H Kang, BN Kim, DS Lee Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 88 | 2011 |
| Kernel nonnegative matrix factorization for spectral EEG feature extraction H Lee, A Cichocki, S Choi Neurocomputing 72 (13-15), 3182-3190, 2009 | 72 | 2009 |
| Nonnegative matrix factorization for motor imagery EEG classification H Lee, A Cichocki, S Choi Artificial Neural Networks–ICANN 2006: 16th International Conference, Athens …, 2006 | 72 | 2006 |
| Abnormal metabolic connectivity in the pilocarpine-induced epilepsy rat model: a multiscale network analysis based on persistent homology H Choi, YK Kim, H Kang, H Lee, HJ Im, EE Kim, JK Chung, DS Lee Neuroimage 99, 226-236, 2014 | 49 | 2014 |
| Deep learning only by normal brain PET identify unheralded brain anomalies H Choi, S Ha, H Kang, H Lee, DS Lee EBioMedicine 43, 447-453, 2019 | 46 | 2019 |
| Exact topological inference of the resting-state brain networks in twins MK Chung, H Lee, A DiChristofano, H Ombao, V Solo Network Neuroscience 3 (3), 674-694, 2019 | 41 | 2019 |
| Exact Topological Inference for Paired Brain Networks via Persistent Homology MK Chung, V Villalta-Gil, H Lee, PJ Rathouz, BB Lahey, DH Zald Information Processing in Medical Imaging: 25th International Conference …, 2017 | 38 | 2017 |
| Morphological brain network assessed using graph theory and network filtration in deaf adults E Kim, H Kang, H Lee, HJ Lee, MW Suh, JJ Song, SH Oh, DS Lee Hearing research 315, 88-98, 2014 | 34 | 2014 |
| PCA-based linear dynamical systems for multichannel EEG classification H Lee, S Choi Proceedings of the 9th International Conference on Neural Information …, 2002 | 31 | 2002 |
| Integrated multimodal network approach to PET and MRI based on multidimensional persistent homology H Lee, H Kang, MK Chung, S Lim, BN Kim, DS Lee Human Brain Mapping 38 (3), 1387-1402, 2017 | 30 | 2017 |
| Topological distances between brain networks MK Chung, H Lee, V Solo, RJ Davidson, SD Pollak Connectomics in NeuroImaging: First International Workshop, CNI 2017, Held …, 2017 | 26 | 2017 |
Moo K. ChungUniversity of Wisconsin-MadisonAdresse e-mail validée de wisc.edu
