Symplectic Nonlinear Component Analysis. - Lucas C. Parra (NIPS, 1995)

Continuous Boltzmann machine with rotor neurons. - Lucas C. Parra; Gustavo Deco (Neural Networks, 1995)

Unüberwachtes Lernen mit informationstheoretischen Kriterien in konnektionistischen Modellen. - Lucas C. Parra (1995)

Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA. - Barak A. Pearlmutter; Lucas C. Parra (NIPS, 1996)

Statistical Independence and Novelty Detection with Information Preserving Nonlinear Maps. - Lucas C. Parra; Gustavo Deco; Stefan Miesbach (Neural Comput., 1996)

Temporal Models in Blind Source Separation. - Lucas C. Parra (Summer School on Neural Networks, 1997)

Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network. - Gustavo Deco; Lucas C. Parra (Neural Networks, 1997)

List-Mode Likelihood EM Algorithm and Noise Estimation Demonstrated on 2D-PET. - Lucas C. Parra; Harrison H. Barrett (IEEE Trans. Medical Imaging, 1998)

Unmixing Hyperspectral Data. - Lucas C. Parra; Clay Spence; Paul Sajda; Andreas Ziehe; Klaus-Robert Müller (NIPS, 1999)

Hierarchical Image Probability (H1P) Models. - Clay Spence; Lucas C. Parra (NIPS, 1999)

Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. - Paul Sajda; Clay Spence; Lucas C. Parra; Robert M. Nishikawa (AIPR, 2000)

Hierarchical Image Probability (HIP) Models. - Clay Spence; Lucas C. Parra; Paul Sajda (ICIP, 2000)

Mammographic mass detection with a hierarchical image probability (HIP) model. - Clay D. Spence; Lucas C. Parra; Paul Sajda (Image Processing, 2000)

Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. - Lucas C. Parra; Clay Spence; Paul Sajda (NIPS, 2000)

Convolutive blind separation of non-stationary sources. - Lucas C. Parra; Clay Spence (IEEE Trans. Speech Audio Process., 2000)

On-line Convolutive Blind Source Separation of Non-Stationary Signals. - Lucas C. Parra; Clay Spence (J. VLSI Signal Process., 2000)

Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. - Paul Sajda; Clay Spence; Lucas C. Parra (ISBI, 2002)

Linear Spatial Integration for Single-Trial Detection in Encephalography. - Lucas C. Parra; Christopher V. Alvino; Akaysha C. Tang; Barak A. Pearlmutter; Nick Yeung; Allen Osman; Paul Sajda (NeuroImage, 2002)

Geometric source separation: merging convolutive source separation with geometric beamforming. - Lucas C. Parra; Christopher V. Alvino (IEEE Trans. Speech Audio Process., 2002)

Single-trial detection in EEG and MEG: Keeping it linear. - Lucas C. Parra; Christopher V. Alvino; Akaysha C. Tang; Barak A. Pearlmutter; Nick Yeung; Allen Osman; Paul Sajda (Neurocomputing, 2003)

Blind Source Separation via Generalized Eigenvalue Decomposition. - Lucas C. Parra; Paul Sajda (J. Mach. Learn. Res., 2003)

A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis. - Paul Sajda; Clay Spence; Lucas C. Parra (Medical Image Anal., 2003)

Maximising Sensitivity in a Spiking Network. - Anthony J. Bell; Lucas C. Parra (NIPS, 2004)

Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. - Paul Sajda; Shuyan Du; Truman R. Brown; Radka Stoyanova; Dikoma C. Shungu; Xiangling Mao; Lucas C. Parra (IEEE Trans. Medical Imaging, 2004)

Cortical origins of response time variability during rapid discrimination of visual objects. - Adam D. Gerson; Lucas C. Parra; Paul Sajda (NeuroImage, 2005)

Recipes for the linear analysis of EEG. - Lucas C. Parra; Clay D. Spence; Adam D. Gerson; Paul Sajda (NeuroImage, 2005)

Smooth bilinear classification of EEG. - Mads Dyrholm; Lucas C. Parra (EMBC, 2006)

Amplification of small electric fields by neurons; implications for spike timing. - Thomas Radman; Lucas C. Parra; Marom Bikson (EMBC, 2006)

Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. - Akaysha C. Tang; Matthew T. Sutherland; Christopher J. McKinney; Jingyu Liu 001; Yan Wang; Lucas C. Parra; Adam D. Gerson; Paul Sajda (IJCNN, 2006)

Varying complexity in tree-structured image distribution models. - Clay Spence; Lucas C. Parra; Paul Sajda (IEEE Trans. Image Process., 2006)

Second Order Bilinear Discriminant Analysis for single trial EEG analysis. - Christoforos Christoforou; Paul Sajda; Lucas C. Parra (NIPS, 2007)

Bilinear Discriminant Component Analysis. - Mads Dyrholm; Christoforos Christoforou; Lucas C. Parra (J. Mach. Learn. Res., 2007)

Adaptive Template Matching with Shift-Invariant Semi-NMF. - Jonathan Le Roux; Alain de Cheveigné; Lucas C. Parra (NIPS, 2008)

Spatiotemporal Linear Decoding of Brain State. - Lucas C. Parra; Christoforos Christoforou; Adam C. Gerson; Mads Dyrholm; An Luo; Mark Wagner; Marios G. Philiastides; Paul Sajda (IEEE Signal Process. Mag., 2008)

On the Maximization of Information Flow Between Spiking Neurons. - Lucas C. Parra; Jeffrey M. Beck; Anthony J. Bell (Neural Comput., 2009)

Second-Order Bilinear Discriminant Analysis. - Christoforos Christoforou; Robert M. Haralick; Paul Sajda; Lucas C. Parra (J. Mach. Learn. Res., 2010)

Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds. - Jacek P. Dmochowski; Paul Sajda; Lucas C. Parra (J. Mach. Learn. Res., 2010)

In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision. - Paul Sajda; Eric Pohlmeyer; Jun Wang 006; Lucas C. Parra; Christoforos Christoforou; Jacek Dmochowski; Barbara Hanna; Claus Bahlmann; Maneesh Kumar Singh 001; Shih-Fu Chang (Proc. IEEE, 2010)

Cortically-Coupled Computer Vision. - Paul Sajda; Eric Pohlmeyer; Jun Wang 006; Barbara Hanna; Lucas C. Parra; Shih-Fu Chang (Brain-Computer Interfaces, 2010)

A pilot study on effects of 4×1 High-Definition tDCS on motor cortex excitability. - Egas M. Caparelli-Daquer; Trelawny J. Zimmermann; Eric Mooshagian; Lucas C. Parra; Justin K. Rice; Abhishek Datta; Marom Bikson; Eric M. Wassermann (EMBC, 2012)

On the role of electric field orientation in optimal design of transcranial current stimulation. - Jacek P. Dmochowski; Marom Bikson; Abhishek Datta; Jessica D. Richardson; Julius Fridriksson; Lucas C. Parra (EMBC, 2012)

An automated method for high-definition transcranial direct current stimulation modeling. - Yu Huang 014; Yuzhuo Su; Christopher Rorden; Jacek Dmochowski; Abhishek Datta; Lucas C. Parra (EMBC, 2012)

Simultaneous and proportional control of 2D wrist movements with myoelectric signals. - Janne Mathias Hahne; Hubertus Rehbaum; Felix Bießmann; Frank C. Meinecke; Klaus-Robert Müller; Ning Jiang 001; Dario Farina; Lucas C. Parra (MLSP, 2012)

Computational model of neuron-astrocyte interactions during focal seizure generation. - Davide Reato; Mario Cammarota; Lucas C. Parra; Giorgio Carmignoto (Frontiers Comput. Neurosci., 2012)

Spatial projections of neural arrays: A short guide to classic and new signal analysis techniques. - Lucas C. Parra; Jacek P. Dmochovski; Joao Dias; Alain de Cheveigné (BCI, 2013)

Origins of power-law degree distribution in the heterogeneity of human activity in social networks - Lev Muchnik; Sen Pei; Lucas C. Parra; Saulo D. S. Reis; José S. Andrade Jr.; Shlomo Havlin; Hernán A. Makse (CoRR, 2013)

Targeted transcranial direct current stimulation for rehabilitation after stroke. - Jacek P. Dmochowski; Abhishek Datta; Yu Huang 014; Jessica D. Richardson; Marom Bikson; Julius Fridriksson; Lucas C. Parra (NeuroImage, 2013)

Subject position affects EEG magnitudes. - Justin K. Rice; Christopher Rorden; Jessica S. Little; Lucas C. Parra (NeuroImage, 2013)

Transcranial Electrical Stimulation Accelerates Human Sleep Homeostasis. - Davide Reato; Fernando Gasca; Abhishek Datta; Marom Bikson; Lisa Marshall; Lucas C. Parra (PLoS Comput. Biol., 2013)

Bayesian correlated component analysis for inference of joint EEG activation. - Andreas Trier Poulsen; Simon Kamronn; Lucas C. Parra; Lars Kai Hansen (PRNI, 2014)

Evoked Neural Responses to Events in Video. - Daniel Rosenthal; Paul DeGuzman; Lucas C. Parra; Paul Sajda (IEEE J. Sel. Top. Signal Process., 2014)

Imaging artifacts induced by electrical stimulation during conventional fMRI of the brain. - Andrea Antal; Marom Bikson; Abhishek Datta; Belen Lafon; Peter Dechent; Lucas C. Parra; Walter Paulus (NeuroImage, 2014)

Joint decorrelation, a versatile tool for multichannel data analysis. - Alain de Cheveigné; Lucas C. Parra (NeuroImage, 2014)

Neural Correlates of Perceived Confidence in a Partial Report Paradigm. - Martín Graziano; Lucas C. Parra; Mariano Sigman (J. Cogn. Neurosci., 2015)

Measuring engagement in a classroom: Synchronised neural recordings during a video presentation. - Andreas Trier Poulsen; Simon Kamronn; Jacek Dmochowski; Lucas C. Parra; Lars Kai Hansen (CoRR, 2016)

The New York Head - A precise standardized volume conductor model for EEG source localization and tES targeting. - Yu Huang 014; Lucas C. Parra; Stefan Haufe (NeuroImage, 2016)

Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation. - Jacek P. Dmochowski; Laurent Koessler; Anthony M. Norcia; Marom Bikson; Lucas C. Parra (NeuroImage, 2017)

ROAST: An Open-Source, Fully-Automated, Realistic Volumetric-Approach-Based Simulator For TES. - Yu Huang 014; Abhishek Datta; Marom Bikson; Lucas C. Parra (EMBC, 2018)

Optimized tDCS for Targeting Multiple Brain Regions: An Integrated Implementation. - Yu Huang 014; Chris Thomas 001; Abhishek Datta; Lucas C. Parra (EMBC, 2018)

Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data. - Lucas C. Parra; Stefan Haufe; Jacek P. Dmochowski (CoRR, 2018)

Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity. - Jacek P. Dmochowski; Jason J. Ki; Paul DeGuzman; Paul Sajda; Lucas C. Parra (NeuroImage, 2018)

Elucidating relations between fMRI, ECoG, and EEG through a common natural stimulus. - Stefan Haufe; Paul DeGuzman; Simon Henin; Michael Arcaro; Christopher J. Honey; Uri Hasson; Lucas C. Parra (NeuroImage, 2018)

Tissue segmentation with deep 3D networks and spatial priors. - Lukas Hirsch; Yu Huang 014; Lucas C. Parra (CoRR, 2019)

Multiway canonical correlation analysis of brain data. - Alain de Cheveigné; Giovanni M. Di Liberto; Dorothée Arzounian; Daniel D. E. Wong; Jens Hjortkjær; Søren Asp Fuglsang; Lucas C. Parra (NeuroImage, 2019)

Inherent physiological artifacts in EEG during tDCS. - Nigel Gebodh; Zeinab Esmaeilpour; Devin Adair; Kenneth Chelette; Jacek Dmochowski; Adam J. Woods; Emily S. Kappenman; Lucas C. Parra; Marom Bikson (NeuroImage, 2019)

Deep learning achieves radiologist-level performance of tumor segmentation in breast MRI. - Lukas Hirsch; Yu Huang 014; 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; et al. (CoRR, 2020)

Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI. - Maximilian Nentwich; Lei Ai; Jens Madsen; Qawi K. Telesford; Stefan Haufe; Michael P. Milham; Lucas C. Parra (NeuroImage, 2020)

Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment. - Yu Huang 014; 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 (J. Digit. Imaging, 2022)

Architecture of the brain's visual system enhances network stability and performance through layers, delays, and feedback. - Osvaldo Matías Velarde; Hernán A. Makse; Lucas C. Parra (PLoS Comput. Biol., 2023)

The Role of Fibration Symmetries in Geometric Deep Learning. - Osvaldo Matías Velarde; Lucas C. Parra; Paolo Boldi; Hernán A. Makse (CoRR, 2024)

Real-time estimation of overt attention from dynamic features of the face using deep-learning. - Aimar Silvan Ortubay; Lucas C. Parra; Jens Madsen (CoRR, 2024)

Recurrent Joint Embedding Predictive Architecture with Recurrent Forward Propagation Learning. - Osvaldo Matías Velarde; Lucas C. Parra (CoRR, 2024)

Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data Release. - Andrew M. Birnbaum; Adam Buchwald; Peter Turkeltaub; Adam Jacks; Yu Huang 014; Abhishek Datta; Lucas C. Parra; Lukas Hirsch (CoRR, 2025)

Effect of explanation videos on learning: The role of attention and academic performance. - Melanie V. Adler; Jens Madsen; James Hedberg; Richard Steinberg; Lucas C. Parra (Educ. Inf. Technol., 2025)