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2020 – today
- 2024
[i7]Osvaldo Matías Velarde, Lucas C. Parra, Paolo Boldi, Hernán A. Makse:
The Role of Fibration Symmetries in Geometric Deep Learning. CoRR abs/2408.15894 (2024)- [i6]Aimar Silvan Ortubay, Lucas C. Parra, Jens Madsen:
Real-time estimation of overt attention from dynamic features of the face using deep-learning. CoRR abs/2409.13084 (2024) - 2023
- [j38]Osvaldo Matías Velarde
, Hernán A. Makse, Lucas C. Parra:
Architecture of the brain's visual system enhances network stability and performance through layers, delays, and feedback. PLoS Comput. Biol. 19(11) (2023) - 2022
- [j37]Yu Huang, Raquel Moreno, Rachna Malani, Alicia Meng, Nathaniel C. Swinburne, Andrei I. Holodny, Ye Choi, Henry Rusinek, James B. Golomb, Ajax George, Lucas C. Parra, Robert J. Young:
Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment. J. Digit. Imaging 35(6): 1662-1672 (2022) - 2020
- [j36]Maximilian Nentwich, Lei Ai, Jens Madsen, Qawi K. Telesford, Stefan Haufe, Michael P. Milham, Lucas C. Parra:
Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI. NeuroImage 218: 117001 (2020) - [i5]Lukas Hirsch, Yu Huang, Shaojun Luo, Carolina Rossi Saccarelli, Roberto Lo Gullo, Isaac Daimiel Naranjo, Almir Galvão Vieira Bitencourt, Natsuko Onishi, Eun Sook Ko, Dortis Leithner, Daly Avendano, Sarah Eskreis-Winkler, Mary Hughes, Danny F. Martinez, Katja Pinker, Krishna Juluru, Amin E. El-Rowmeim, Pierre Elnajjar, Hedvig Hricak, Elizabeth A. Morris, Hernán A. Makse, Lucas C. Parra, Elizabeth J. Sutton:
Deep learning achieves radiologist-level performance of tumor segmentation in breast MRI. CoRR abs/2009.09827 (2020)
2010 – 2019
- 2019
- [j35]Nigel Gebodh, Zeinab Esmaeilpour, Devin Adair, Kenneth Chelette, Jacek Dmochowski, Adam J. Woods, Emily S. Kappenman, Lucas C. Parra, Marom Bikson:
Inherent physiological artifacts in EEG during tDCS. NeuroImage 185: 408-424 (2019) - [j34]Alain de Cheveigné, Giovanni M. Di Liberto, Dorothée Arzounian, Daniel D. E. Wong, Jens Hjortkjær, Søren Asp Fuglsang, Lucas C. Parra:
Multiway canonical correlation analysis of brain data. NeuroImage 186: 728-740 (2019) - [i4]Lukas Hirsch, Yu Huang, Lucas C. Parra:
Tissue segmentation with deep 3D networks and spatial priors. CoRR abs/1905.10010 (2019) - 2018
- [j33]Stefan Haufe, Paul DeGuzman, Simon Henin, Michael Arcaro, Christopher J. Honey, Uri Hasson, Lucas C. Parra:
Elucidating relations between fMRI, ECoG, and EEG through a common natural stimulus. NeuroImage 179: 79-91 (2018) - [j32]Jacek P. Dmochowski, Jason J. Ki, Paul DeGuzman, Paul Sajda, Lucas C. Parra:
Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity. NeuroImage 180(Part): 134-146 (2018) - [c24]Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra:
ROAST: An Open-Source, Fully-Automated, Realistic Volumetric-Approach-Based Simulator For TES. EMBC 2018: 3072-3075 - [c23]Yu Huang, Chris Thomas, Abhishek Datta, Lucas C. Parra:
Optimized tDCS for Targeting Multiple Brain Regions: An Integrated Implementation. EMBC 2018: 3545-3548 - [i3]Lucas C. Parra, Stefan Haufe, Jacek P. Dmochowski:
Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data. CoRR abs/1801.08881 (2018) - 2017
- [j31]Jacek P. Dmochowski, Laurent Koessler, Anthony M. Norcia, Marom Bikson, Lucas C. Parra:
Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation. NeuroImage 157: 69-80 (2017) - 2016
- [j30]Yu Huang, Lucas C. Parra, Stefan Haufe:
The New York Head - A precise standardized volume conductor model for EEG source localization and tES targeting. NeuroImage 140: 150-162 (2016) - [i2]Andreas Trier Poulsen, Simon Kamronn, Jacek Dmochowski, Lucas C. Parra, Lars Kai Hansen:
Measuring engagement in a classroom: Synchronised neural recordings during a video presentation. CoRR abs/1604.03019 (2016) - 2015
- [j29]Martín Graziano, Lucas C. Parra, Mariano Sigman:
Neural Correlates of Perceived Confidence in a Partial Report Paradigm. J. Cogn. Neurosci. 27(6): 1090-1103 (2015) - 2014
- [j28]Daniel Rosenthal, Paul DeGuzman, Lucas C. Parra, Paul Sajda:
Evoked Neural Responses to Events in Video. IEEE J. Sel. Top. Signal Process. 8(3): 358-365 (2014) - [j27]Andrea Antal, Marom Bikson, Abhishek Datta, Belen Lafon, Peter Dechent, Lucas C. Parra, Walter Paulus:
Imaging artifacts induced by electrical stimulation during conventional fMRI of the brain. NeuroImage 85: 1040-1047 (2014) - [j26]Alain de Cheveigné, Lucas C. Parra:
Joint decorrelation, a versatile tool for multichannel data analysis. NeuroImage 98: 487-505 (2014) - [c22]Andreas Trier Poulsen, Simon Kamronn, Lucas C. Parra, Lars Kai Hansen:
Bayesian correlated component analysis for inference of joint EEG activation. PRNI 2014: 1-4 - 2013
- [j25]Justin K. Rice, Christopher Rorden, Jessica S. Little, Lucas C. Parra:
Subject position affects EEG magnitudes. NeuroImage 64: 476-484 (2013) - [j24]Jacek P. Dmochowski, Abhishek Datta, Yu Huang, Jessica D. Richardson, Marom Bikson, Julius Fridriksson, Lucas C. Parra:
Targeted transcranial direct current stimulation for rehabilitation after stroke. NeuroImage 75: 12-19 (2013) - [j23]Davide Reato, Fernando Gasca, Abhishek Datta, Marom Bikson, Lisa Marshall, Lucas C. Parra:
Transcranial Electrical Stimulation Accelerates Human Sleep Homeostasis. PLoS Comput. Biol. 9(2) (2013) - [c21]Lucas C. Parra, Jacek P. Dmochovski, Joao Dias, Alain de Cheveigné:
Spatial projections of neural arrays: A short guide to classic and new signal analysis techniques. BCI 2013: 10-11 - [i1]Lev Muchnik, Sen Pei, Lucas C. Parra, Saulo D. S. Reis, José S. Andrade Jr., Shlomo Havlin, Hernán A. Makse:
Origins of power-law degree distribution in the heterogeneity of human activity in social networks. CoRR abs/1304.4523 (2013) - 2012
- [j22]Davide Reato, Mario Cammarota, Lucas C. Parra, Giorgio Carmignoto:
Computational model of neuron-astrocyte interactions during focal seizure generation. Frontiers Comput. Neurosci. 6: 81 (2012) - [c20]Egas M. Caparelli-Daquer, Trelawny J. Zimmermann, Eric Mooshagian, Lucas C. Parra, Justin K. Rice, Abhishek Datta, Marom Bikson, Eric M. Wassermann:
A pilot study on effects of 4×1 High-Definition tDCS on motor cortex excitability. EMBC 2012: 735-738 - [c19]Yu Huang, Yuzhuo Su, Christopher Rorden, Jacek Dmochowski, Abhishek Datta, Lucas C. Parra:
An automated method for high-definition transcranial direct current stimulation modeling. EMBC 2012: 5376-5379 - [c18]Jacek P. Dmochowski, Marom Bikson, Abhishek Datta, Jessica D. Richardson, Julius Fridriksson, Lucas C. Parra:
On the role of electric field orientation in optimal design of transcranial current stimulation. EMBC 2012: 6426-6429 - [c17]Janne Mathias Hahne, Hubertus Rehbaum, Felix Bießmann, Frank C. Meinecke, Klaus-Robert Müller, Ning Jiang, Dario Farina, Lucas C. Parra:
Simultaneous and proportional control of 2D wrist movements with myoelectric signals. MLSP 2012: 1-6 - 2010
- [j21]Christoforos Christoforou, Robert M. Haralick, Paul Sajda, Lucas C. Parra:
Second-Order Bilinear Discriminant Analysis. J. Mach. Learn. Res. 11: 665-685 (2010) - [j20]Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra:
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds. J. Mach. Learn. Res. 11: 3313-3332 (2010) - [j19]Paul Sajda, Eric Pohlmeyer, Jun Wang, Lucas C. Parra, Christoforos Christoforou, Jacek Dmochowski, Barbara Hanna, Claus Bahlmann, Maneesh Kumar Singh, Shih-Fu Chang:
In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision. Proc. IEEE 98(3): 462-478 (2010) - [p1]Paul Sajda, Eric Pohlmeyer, Jun Wang, Barbara Hanna, Lucas C. Parra, Shih-Fu Chang:
Cortically-Coupled Computer Vision. Brain-Computer Interfaces 2010: 133-148
2000 – 2009
- 2009
- [j18]Lucas C. Parra, Jeffrey M. Beck, Anthony J. Bell:
On the Maximization of Information Flow Between Spiking Neurons. Neural Comput. 21(11): 2991-3009 (2009) - 2008
- [j17]Lucas C. Parra, Christoforos Christoforou, Adam C. Gerson, Mads Dyrholm, An Luo, Mark Wagner, Marios G. Philiastides, Paul Sajda:
Spatiotemporal Linear Decoding of Brain State. IEEE Signal Process. Mag. 25(1): 107-115 (2008) - [c16]Jonathan Le Roux, Alain de Cheveigné, Lucas C. Parra:
Adaptive Template Matching with Shift-Invariant Semi-NMF. NIPS 2008: 921-928 - 2007
- [j16]Mads Dyrholm, Christoforos Christoforou, Lucas C. Parra:
Bilinear Discriminant Component Analysis. J. Mach. Learn. Res. 8: 1097-1111 (2007) - [c15]Christoforos Christoforou, Paul Sajda, Lucas C. Parra:
Second Order Bilinear Discriminant Analysis for single trial EEG analysis. NIPS 2007: 313-320 - 2006
- [j15]Clay Spence, Lucas C. Parra, Paul Sajda:
Varying complexity in tree-structured image distribution models. IEEE Trans. Image Process. 15(2): 319-330 (2006) - [c14]Mads Dyrholm, Lucas C. Parra:
Smooth bilinear classification of EEG. EMBC 2006: 4249-4252 - [c13]Thomas Radman, Lucas C. Parra, Marom Bikson:
Amplification of small electric fields by neurons; implications for spike timing. EMBC 2006: 4949-4952 - [c12]Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney, Jingyu Liu, Yan Wang, Lucas C. Parra, Adam D. Gerson, Paul Sajda:
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. IJCNN 2006: 1376-1383 - 2005
- [j14]Lucas C. Parra, Clay D. Spence, Adam D. Gerson, Paul Sajda:
Recipes for the linear analysis of EEG. NeuroImage 28(2): 326-341 (2005) - [j13]Adam D. Gerson, Lucas C. Parra, Paul Sajda:
Cortical origins of response time variability during rapid discrimination of visual objects. NeuroImage 28(2): 342-353 (2005) - 2004
- [j12]Paul Sajda, Shuyan Du, Truman R. Brown, Radka Stoyanova, Dikoma C. Shungu, Xiangling Mao, Lucas C. Parra:
Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. IEEE Trans. Medical Imaging 23(12): 1453-1465 (2004) - [c11]Anthony J. Bell, Lucas C. Parra:
Maximising Sensitivity in a Spiking Network. NIPS 2004: 121-128 - 2003
- [j11]Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda:
Single-trial detection in EEG and MEG: Keeping it linear. Neurocomputing 52-54: 177-183 (2003) - [j10]Lucas C. Parra, Paul Sajda:
Blind Source Separation via Generalized Eigenvalue Decomposition. J. Mach. Learn. Res. 4: 1261-1269 (2003) - [j9]Paul Sajda, Clay Spence, Lucas C. Parra:
A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis. Medical Image Anal. 7(2): 187-204 (2003) - 2002
- [j8]Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda:
Linear Spatial Integration for Single-Trial Detection in Encephalography. NeuroImage 17(1): 223-230 (2002) - [j7]Lucas C. Parra, Christopher V. Alvino:
Geometric source separation: merging convolutive source separation with geometric beamforming. IEEE Trans. Speech Audio Process. 10(6): 352-362 (2002) - [c10]Paul Sajda, Clay Spence, Lucas C. Parra:
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. ISBI 2002: 165-168 - 2000
- [j6]Lucas C. Parra, Clay Spence:
Convolutive blind separation of non-stationary sources. IEEE Trans. Speech Audio Process. 8(3): 320-327 (2000) - [j5]Lucas C. Parra, Clay Spence:
On-line Convolutive Blind Source Separation of Non-Stationary Signals. J. VLSI Signal Process. 26(1-2): 39-46 (2000) - [c9]Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa:
Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. AIPR 2000: 159-165 - [c8]Clay Spence, Lucas C. Parra, Paul Sajda:
Hierarchical Image Probability (HIP) Models. ICIP 2000: 320-323 - [c7]Clay D. Spence, Lucas C. Parra, Paul Sajda:
Mammographic mass detection with a hierarchical image probability (HIP) model. Medical Imaging: Image Processing 2000 - [c6]Lucas C. Parra, Clay Spence, Paul Sajda:
Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. NIPS 2000: 786-792
1990 – 1999
- 1999
- [c5]Clay Spence, Lucas C. Parra:
Hierarchical Image Probability (H1P) Models. NIPS 1999: 848-854 - [c4]Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller:
Unmixing Hyperspectral Data. NIPS 1999: 942-948 - 1998
- [j4]Lucas C. Parra, Harrison H. Barrett:
List-Mode Likelihood EM Algorithm and Noise Estimation Demonstrated on 2D-PET. IEEE Trans. Medical Imaging 17(2): 228-235 (1998) - 1997
- [j3]Gustavo Deco, Lucas C. Parra:
Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network. Neural Networks 10(4): 683-691 (1997) - [c3]Lucas C. Parra:
Temporal Models in Blind Source Separation. Summer School on Neural Networks 1997: 229-247 - 1996
- [j2]Lucas C. Parra, Gustavo Deco, Stefan Miesbach:
Statistical Independence and Novelty Detection with Information Preserving Nonlinear Maps. Neural Comput. 8(2): 260-269 (1996) - [c2]Barak A. Pearlmutter, Lucas C. Parra:
Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA. NIPS 1996: 613-619 - 1995
- [b1]Lucas C. Parra:
Unüberwachtes Lernen mit informationstheoretischen Kriterien in konnektionistischen Modellen. Ludwig Maximilian University of Munich, Germany, 1995, pp. 1-132 - [j1]Lucas C. Parra, Gustavo Deco:
Continuous Boltzmann machine with rotor neurons. Neural Networks 8(3): 375-385 (1995) - [c1]Lucas C. Parra:
Symplectic Nonlinear Component Analysis. NIPS 1995: 437-443
Coauthor Index
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last updated on 2024-10-18 19:28 CEST by the dblp team
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