Power spectrum scale invariance quantifies limbic dysregulation in trait anxious adults using fMRI: Adapting methods optimized for characterizing autonomic dysregulation to neural dynamic time series. - Denis Tolkunov; Denis Rubin; Lilianne R. Mujica-Parodi (NeuroImage, 2010)

Ventral striatal and medial prefrontal BOLD activation is correlated with reward-related electrocortical activity: A combined ERP and fMRI study. - Joshua M. Carlson; Dan Foti; Lilianne R. Mujica-Parodi; Eddie Harmon-Jones; Greg Hajcak (NeuroImage, 2011)

A stand-alone method for anatomical localization of NIRS measurements. - Tomer Fekete; Denis Rubin; Joshua M. Carlson; Lilianne R. Mujica-Parodi (NeuroImage, 2011)

Nonconscious attention bias to threat is correlated with anterior cingulate cortex gray matter volume: A voxel-based morphometry result and replication. - Joshua M. Carlson; Felix Beacher; Karen S. Reinke; Reza Habib; Eddie Harmon-Jones; Lilianne R. Mujica-Parodi; Greg Hajcak (NeuroImage, 2012)

Small-world network properties in prefrontal cortex correlate with predictors of psychopathology risk in young children: A NIRS study. - Tomer Fekete; Felix D. C. C. Beacher; Jiook Cha; Denis Rubin; Lilianne R. Mujica-Parodi (NeuroImage, 2014)

The fine line between 'brave' and 'reckless': Amygdala reactivity and regulation predict recognition of risk. - Lilianne R. Mujica-Parodi; Joshua M. Carlson; Jiook Cha; Denis Rubin (NeuroImage, 2014)

Network connectivity modulates power spectrum scale invariance. - Anca Radulescu 001; Lilianne R. Mujica-Parodi (NeuroImage, 2014)

Edge Detection Robust to Intensity Inhomogeneity: A 7T MRI Case Study. - Fabio A. M. Cappabianco; Lucas Santana Lellis; Paulo A. V. Miranda; Jaime S. Ide; Lilianne R. Mujica-Parodi (CIARP, 2016)

Oxytocin attenuates trust as a subset of more general reinforcement learning, with altered reward circuit functional connectivity in males. - Jaime S. Ide; Sanja Nedic; Kin F. Wong; Shmuel L. Strey; Elizabeth A. Lawson; Bradford C. Dickerson; Lawrence L. Wald; Giancarlo La Camera; Lilianne R. Mujica-Parodi (NeuroImage, 2018)

Inferring a network from dynamical signals at its nodes. - Corey Weistuch; Luca Agozzino; Lilianne R. Mujica-Parodi; Ken A. Dill (PLoS Comput. Biol., 2020)

NeuroPredictome: A Data-Driven Predictome Linking Neuroimaging to Phenotype. - Syed Fahad Sultan; Lilianne R. Mujica-Parodi; Steven Skiena (BIBM, 2021)

Machine Learning Predicts Outcomes of Phase III Clinical Trials for Prostate Cancer. - Felix D. C. C. Beacher; Lilianne R. Mujica-Parodi; Shreyash Gupta; Leonardo A. Ancora (Algorithms, 2021)

The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves. - Corey Weistuch; Lilianne R. Mujica-Parodi; Ken Dill (Neural Comput., 2021)

Ground-truth "resting-state" signal provides data-driven estimation and correction for scanner distortion of fMRI time-series dynamics. - Rajat Kumar; Liang Tan; Alan Kriegstein; Andrew Lithen; Jonathan R. Polimeni; Lilianne R. Mujica-Parodi; Helmut H. Strey (NeuroImage, 2021)

Fast spatial autocorrelation. - Anar Amgalan; Lilianne R. Mujica-Parodi; Steven S. Skiena (Knowl. Inf. Syst., 2022)

FixFit: using parameter-compression to solve the inverse problem in overdetermined models. - Botond B. Antal; Anthony G. Chesebro; Helmut H. Strey; Lilianne R. Mujica-Parodi; Corey Weistuch (CoRR, 2023)

Achieving Occam's razor: Deep learning for optimal model reduction. - Botond B. Antal; Anthony G. Chesebro; Helmut H. Strey; Lilianne R. Mujica-Parodi; Corey Weistuch (PLoS Comput. Biol., 2024)

Scientific Machine Learning of Chaotic Systems Discovers Governing Equations for Neural Populations. - Anthony G. Chesebro; David Hofmann; Vaibhav Dixit; Earl K. Miller; Richard H. Granger; Alan Edelman; Christopher Vincent Rackauckas; Lilianne R. Mujica-Parodi; Helmut H. Strey (CoRR, 2025)