Lucas C. Parra

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 16

Top Venues

NeuroImage

CoRR

EMBC

IEEE J. Sel. Top. Signal Process.

Ludwig Maximilian University of Munich, Germany (PHD)

Education History

Ludwig Maximilian University of Munich, Germany

PHD

Publications

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)
Lukas Hirsch, Yu Huang, Hernán A. Makse, Danny F. Martinez, Mary Hughes, Sarah Eskreis-Winkler, Katja Pinker, Elizabeth A. Morris, Lucas C. Parra, Elizabeth J. Sutton
Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detection. CoRR (2023)
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) (2022)
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 (2020)
Lukas Hirsch, Yu Huang, Shaojun Luo, Carolina Rossi Saccarelli, Roberto Lo Gullo, Isaac Daimiel Naranjo, Almir G. V. 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 (2020)
Lukas Hirsch, Yu Huang, Lucas C. Parra
Tissue segmentation with deep 3D networks and spatial priors. CoRR (2019)
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 (2019)
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 (2019)
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) (2018)
Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra
ROAST: An Open-Source, Fully-Automated, Realistic Volumetric-Approach-Based Simulator For TES. EMBC (2018)
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 (2018)
Yu Huang, Chris Thomas, Abhishek Datta, Lucas C. Parra
Optimized tDCS for Targeting Multiple Brain Regions: An Integrated Implementation. EMBC (2018)
Lucas C. Parra, Stefan Haufe, Jacek P. Dmochowski
Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data. CoRR (2018)
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 (2017)
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 (2016)
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 (2016)
Martín Graziano, Lucas C. Parra, Mariano Sigman
Neural Correlates of Perceived Confidence in a Partial Report Paradigm. J. Cogn. Neurosci. 27 (6) (2015)
Andreas Trier Poulsen, Simon Kamronn, Lucas C. Parra, Lars Kai Hansen
Bayesian correlated component analysis for inference of joint EEG activation. PRNI (2014)
Daniel Rosenthal, Paul DeGuzman, Lucas C. Parra, Paul Sajda
Evoked Neural Responses to Events in Video. IEEE J. Sel. Top. Signal Process. 8 (3) (2014)
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 (2014)
Alain de Cheveigné, Lucas C. Parra
Joint decorrelation, a versatile tool for multichannel data analysis. NeuroImage 98 (2014)
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 (2013)
Justin K. Rice, Christopher Rorden, Jessica S. Little, Lucas C. Parra
Subject position affects EEG magnitudes. NeuroImage 64 (2013)
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 (2013)
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)
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)
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)
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)
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)
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)
Davide Reato, Mario Cammarota, Lucas C. Parra, Giorgio Carmignoto
Computational model of neuron-astrocyte interactions during focal seizure generation. Frontiers Comput. Neurosci. 6 (2012)
Christoforos Christoforou, Robert M. Haralick, Paul Sajda, Lucas C. Parra
Second-Order Bilinear Discriminant Analysis. J. Mach. Learn. Res. 11 (2010)
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 (2010)
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) (2010)
Lucas C. Parra, Jeffrey M. Beck, Anthony J. Bell
On the Maximization of Information Flow Between Spiking Neurons. Neural Comput. 21 (11) (2009)
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) (2008)
Jonathan Le Roux, Alain de Cheveigné, Lucas C. Parra
Adaptive Template Matching with Shift-Invariant Semi-NMF. NIPS (2008)
Mads Dyrholm, Christoforos Christoforou, Lucas C. Parra
Bilinear Discriminant Component Analysis. J. Mach. Learn. Res. 8 (2007)
Christoforos Christoforou, Paul Sajda, Lucas C. Parra
Second Order Bilinear Discriminant Analysis for single trial EEG analysis. NIPS (2007)
Mads Dyrholm, Lucas C. Parra
Smooth bilinear classification of EEG. EMBC (2006)
Thomas Radman, Lucas C. Parra, Marom Bikson
Amplification of small electric fields by neurons; implications for spike timing. EMBC (2006)
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)
Clay Spence, Lucas C. Parra, Paul Sajda
Varying complexity in tree-structured image distribution models. IEEE Trans. Image Process. 15 (2) (2006)
Lucas C. Parra, Clay D. Spence, Adam D. Gerson, Paul Sajda
Recipes for the linear analysis of EEG. NeuroImage 28 (2) (2005)
Adam D. Gerson, Lucas C. Parra, Paul Sajda
Cortical origins of response time variability during rapid discrimination of visual objects. NeuroImage 28 (2) (2005)
Anthony J. Bell, Lucas C. Parra
Maximising Sensitivity in a Spiking Network. NIPS (2004)
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) (2004)
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 (2003)
Lucas C. Parra, Paul Sajda
Blind Source Separation via Generalized Eigenvalue Decomposition. J. Mach. Learn. Res. 4 (2003)
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) (2003)
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) (2002)
Paul Sajda, Clay Spence, Lucas C. Parra
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. ISBI (2002)
Lucas C. Parra, Christopher V. Alvino
Geometric source separation: merging convolutive source separation with geometric beamforming. IEEE Trans. Speech Audio Process. 10 (6) (2002)
Lucas C. Parra, Clay Spence
Convolutive blind separation of non-stationary sources. IEEE Trans. Speech Audio Process. 8 (3) (2000)
Clay Spence, Lucas C. Parra, Paul Sajda
Hierarchical Image Probability (HIP) Models. ICIP (2000)
Clay D. Spence, Lucas C. Parra, Paul Sajda
Mammographic mass detection with a hierarchical image probability (HIP) model. Medical Imaging: Image Processing (2000)
Lucas C. Parra, Clay Spence, Paul Sajda
Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. NIPS (2000)
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)
Lucas C. Parra, Clay Spence
On-line Convolutive Blind Source Separation of Non-Stationary Signals. J. VLSI Signal Process. 26 (1-2) (2000)
Clay Spence, Lucas C. Parra
Hierarchical Image Probability (H1P) Models. NIPS (1999)
Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller
Unmixing Hyperspectral Data. NIPS (1999)
Lucas C. Parra, Harrison H. Barrett
List-Mode Likelihood EM Algorithm and Noise Estimation Demonstrated on 2D-PET. IEEE Trans. Medical Imaging 17 (2) (1998)
Lucas C. Parra
Temporal Models in Blind Source Separation. Summer School on Neural Networks (1997)
Gustavo Deco, Lucas C. Parra
Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network. Neural Networks 10 (4) (1997)
Barak A. Pearlmutter, Lucas C. Parra
Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA. NIPS (1996)
Lucas C. Parra, Gustavo Deco, Stefan Miesbach
Statistical Independence and Novelty Detection with Information Preserving Nonlinear Maps. Neural Comput. 8 (2) (1996)
Lucas C. Parra, Gustavo Deco
Continuous Boltzmann machine with rotor neurons. Neural Networks 8 (3) (1995)
Lucas C. Parra
Symplectic Nonlinear Component Analysis. NIPS (1995)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lucas C. Parra