Papademetris, Xenophon

Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity

Finn, E. S., Shen, X., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., Papademetris, X., & Constable, R. T. (2015) · Nature Neuroscience

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 2,747

Testing Predictions From Personality Neuroscience: Brain Structure and the Big Five

DeYoung, C. G., Hirsh, J. B., Shane, M. S., Papademetris, X., Rajeevan, N., & Gray, J. R. (2010) · Psychological Science

Personality Traits and PsychologyNeurotransmitter Receptor Influence on Behavior

Cited by 995

The role of skeletal muscle insulin resistance in the pathogenesis of the metabolic syndrome

Petersen, K. F., Dufour, S., Savage, D. B., Bilz, S., Solomon, G., Yonemitsu, S., Cline, G. W., Befroy, D., Zemany, L., Kahn, B. B., et al. (2007) · Proceedings of the National Academy of Sciences

Diabetes, Cardiovascular Risks, and LipoproteinsDiet, Metabolism, and Disease

Cited by 759

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Zhuang, J., Tang, T., Ding, Y., Tatikonda, S., Dvornek, N., Papademetris, X., & Duncan, J. S. (2020) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 382

Disruption of functional networks in dyslexia: a whole-brain, data-driven analysis of connectivity

Finn, E. S., Shen, X., Holahan, J. M., Scheinost, D., Lacadie, C., Papademetris, X., Shaywitz, S. E., Shaywitz, B. A., & Constable, R. T. (2014) · Biological Psychiatry

Reading and Literacy DevelopmentFunctional Brain Connectivity Studies

Cited by 248

Orbitofrontal cortex neurofeedback produces lasting changes in contamination anxiety and resting-state connectivity

Scheinost, D., Stoica, T., Saksa, J., Papademetris, X., Constable, R. T., Pittenger, C., & Hampson, M. (2013) · Translational Psychiatry

Functional Brain Connectivity StudiesNeural and Behavioral Psychology Studies

Cited by 201

Real-time fMRI links subjective experience with brain activity during focused attention

Garrison, K. A., Scheinost, D., Worhunsky, P. D., Elwafi, H. M., Thornhill, T. A., Thompson, E., Saron, C., Desbordes, G., Kober, H., Hampson, M., et al. (2013) · NeuroImage

Mind wandering and attentionMindfulness and Compassion Interventions

Cited by 154

Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization

Onofrey, J. A., Casetti-Dinescu, D. I., Lauritzen, A. D., Sarkar, S., Venkataraman, R., Fan, R. E., Sonn, G. A., Sprenkle, P. C., Staib, L. H., & Papademetris, X. (2019) · 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 52

Neuroanatomical changes in a mouse model of early life neglect

Duque, A., Coman, D., Carlyle, B. C., Bordner, K. A., George, E. D., Papademetris, X., Hyder, F., & Simen, A. A. (2012) · Brain Structure and Function

Child Abuse and TraumaStress Responses and Cortisol

Cited by 28

A fetal fMRI specific motion correction algorithm using 2nd order edge features

Scheinost, D., Onofrey, J. A., Kwon, S. H., Cross, S. N., Sze, G., Ment, L. R., & Papademetris, X. (2018) · 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

Advanced MRI Techniques and ApplicationsMedical Image Segmentation Techniques

Cited by 19