Lilianne R. Mujica-Parodi

According to our database, Lilianne R. Mujica-Parodi authored at least 17 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2023

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

2022

Fast spatial autocorrelation.

Anar Amgalan, Lilianne R. Mujica-Parodi, Steven S. Skiena

Knowl. Inf. Syst., 2022

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

The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves.

Corey Weistuch, Lilianne R. Mujica-Parodi, Ken Dill

Neural Comput., 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

NeuroPredictome: A Data-Driven Predictome Linking Neuroimaging to Phenotype.

Syed Fahad Sultan, Lilianne R. Mujica-Parodi, Steven Skiena

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Inferring a network from dynamical signals at its nodes.

Corey Weistuch, Luca Agozzino, Lilianne R. Mujica-Parodi, Ken A. Dill

PLoS Comput. Biol., 2020

2018

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

2016

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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2014

Network connectivity modulates power spectrum scale invariance.

Anca Radulescu, 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

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

2012

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

2011

A stand-alone method for anatomical localization of NIRS measurements.

Tomer Fekete, Denis Rubin, Joshua M. Carlson, Lilianne R. Mujica-Parodi

NeuroImage, 2011

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

2010

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