| Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG P Krishnaswamy, G Obregon-Henao, J Ahveninen, S Khan, B Babadi, ... Proceedings of the National Academy of Sciences 114 (48), E10465-E10474, 2017 | 31 | 2017 |
| A subspace pursuit-based iterative greedy hierarchical solution to the neuromagnetic inverse problem B Babadi, G Obregon-Henao, C Lamus, MS Hämäläinen, EN Brown, ... NeuroImage 87, 427-443, 2014 | 31 | 2014 |
| Tracking the sleep onset process: an empirical model of behavioral and physiological dynamics MJ Prerau, KE Hartnack, G Obregon-Henao, A Sampson, M Merlino, ... PLoS computational biology 10 (10), 2014 | 27 | 2014 |
| Computationally efficient algorithms for sparse, dynamic solutions to the EEG source localization problem E Pirondini, B Babadi, G Obregon-Henao, C Lamus, WQ Malik, ... IEEE Transactions on Biomedical Engineering 65 (6), 1359-1372, 2017 | 8 | 2017 |
| A fast iterative greedy algorithm for MEG source localization G Obregon-Henao, B Babadi, C Lamus, EN Brown, PL Purdon 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 3 | 2012 |
| Modeling dendritic arborization based on 3D-reconstructions of adult rat phrenic motoneurons G Obregón, L Ermilov, WZ Zhan, GC Sieck, CB Mantilla Revista Ingeniería Biomédica 3 (6), 47-54, 2009 | 3 | 2009 |
| Deep brain source imaging with m/eeg and anatomical mri P Krishnaswamy, P Purdon, G Obregon-Henao, M Hamalainen, B Babadi US Patent App. 15/521,987, 2017 | | 2017 |
| Sparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data P Krishnaswamy, G Obregon-Henao, S Khan, B Babadi, E Iglesias, ... 2017 AAAI Spring Symposium Series, 2017 | | 2017 |
| Modelo de un simulador de la maniobra de la endoscopia gástrica basado en video V Hernández Quiceno, G Obregón Henao, AF González Ramírez, ... Revista Ingeniería Biomédica 3 (5), 101-105, 2009 | | 2009 |
