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Xenophon Papademetris
Xenophon Papademetris
Professor Biomedical Informatics & Data Science, and Radiology & Biomedical Imaging, Yale University
Verified email at yale.edu - Homepage
Title
Cited by
Cited by
Year
Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
ES Finn, X Shen, D Scheinost, MD Rosenberg, J Huang, MM Chun, ...
Nature neuroscience 18 (11), 1664-1671, 2015
26922015
Testing predictions from personality neuroscience: Brain structure and the big five
CG DeYoung, JB Hirsh, MS Shane, X Papademetris, N Rajeevan, ...
Psychological science 21 (6), 820-828, 2010
14562010
Groupwise whole-brain parcellation from resting-state fMRI data for network node identification
X Shen, F Tokoglu, X Papademetris, RT Constable
Neuroimage 82, 403-415, 2013
10342013
A neuromarker of sustained attention from whole-brain functional connectivity
MD Rosenberg, ES Finn, D Scheinost, X Papademetris, X Shen, ...
Nature neuroscience 19 (1), 165-171, 2016
10122016
The role of skeletal muscle insulin resistance in the pathogenesis of the metabolic syndrome
KF Petersen, S Dufour, DB Savage, S Bilz, G Solomon, S Yonemitsu, ...
Proceedings of the National Academy of Sciences 104 (31), 12587-12594, 2007
9212007
Using connectome-based predictive modeling to predict individual behavior from brain connectivity
X Shen, ES Finn, D Scheinost, MD Rosenberg, MM Chun, ...
nature protocols 12 (3), 506-518, 2017
8982017
Adabelief optimizer: Adapting stepsizes by the belief in observed gradients
J Zhuang, T Tang, Y Ding, SC Tatikonda, N Dvornek, X Papademetris, ...
Advances in neural information processing systems 33, 18795-18806, 2020
6372020
Alanine aminotransferase levels and fatty liver in childhood obesity: associations with insulin resistance, adiponectin, and visceral fat
TS Burgert, SE Taksali, J Dziura, TR Goodman, CW Yeckel, ...
The Journal of Clinical Endocrinology & Metabolism 91 (11), 4287-4294, 2006
4602006
High visceral and low abdominal subcutaneous fat stores in the obese adolescent: a determinant of an adverse metabolic phenotype
SE Taksali, S Caprio, J Dziura, S Dufour, AMG Cali, TR Goodman, ...
Diabetes 57 (2), 367-371, 2008
4302008
OpenIGTLink: an open network protocol for image‐guided therapy environment
J Tokuda, GS Fischer, X Papademetris, Z Yaniv, L Ibanez, P Cheng, H Liu, ...
The International Journal of Medical Robotics and Computer Assisted Surgery …, 2009
4112009
More accurate Talairach coordinates for neuroimaging using non-linear registration
CM Lacadie, RK Fulbright, N Rajeevan, RT Constable, X Papademetris
Neuroimage 42 (2), 717-725, 2008
3892008
Can brain state be manipulated to emphasize individual differences in functional connectivity?
ES Finn, D Scheinost, DM Finn, X Shen, X Papademetris, RT Constable
NeuroImage 160, 140-151, 2017
3552017
BioImage Suite: An integrated medical image analysis suite: An update
X Papademetris, MP Jackowski, N Rajeevan, M DiStasio, H Okuda, ...
The insight journal 2006, 209, 2006
3452006
Disruption of functional networks in dyslexia: a whole-brain, data-driven analysis of connectivity
ES Finn, X Shen, JM Holahan, D Scheinost, C Lacadie, X Papademetris, ...
Biological psychiatry 76 (5), 397-404, 2014
3382014
Estimation of 3-D left ventricular deformation from medical images using biomechanical models
X Papademetris, AJ Sinusas, DP Dione, RT Constable, JS Duncan
IEEE transactions on medical imaging 21 (7), 786-800, 2002
2962002
Estimation of 3D left ventricular deformation from echocardiography
X Papademetris, AJ Sinusas, DP Dione, JS Duncan
Medical image analysis 5 (1), 17-28, 2001
2622001
Effects of working memory load on oscillatory power in human intracranial EEG
JA Meltzer, HP Zaveri, II Goncharova, MM Distasio, X Papademetris, ...
Cerebral Cortex 18 (8), 1843-1855, 2008
2592008
Orbitofrontal cortex neurofeedback produces lasting changes in contamination anxiety and resting-state connectivity
D Scheinost, T Stoica, J Saksa, X Papademetris, RT Constable, ...
Translational psychiatry 3 (4), e250-e250, 2013
2262013
Unified framework for development, deployment and robust testing of neuroimaging algorithms
A Joshi, D Scheinost, H Okuda, D Belhachemi, I Murphy, LH Staib, ...
Neuroinformatics 9, 69-84, 2011
2212011
The “obese insulin-sensitive” adolescent: importance of adiponectin and lipid partitioning
R Weiss, SE Taksali, S Dufour, CW Yeckel, X Papademetris, G Cline, ...
The Journal of Clinical Endocrinology & Metabolism 90 (6), 3731-3737, 2005
2162005
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