Stephen M. LaConte, Ph.D.

Biomedical Engineering and Sciences Virginia Tech-Wake Forest University 
"Stephen LaConte"
Mean distance: 20.3 (cluster 40)


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Xiaoping Hu grad student 2002 UMN
 (Optimal basis representations for the analysis of functional magnetic resonance imaging data.)
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White SW, Richey JA, Gracanin D, et al. (2015) The Promise of Neurotechnology in Clinical Translational Science. Clinical Psychological Science : a Journal of the Association For Psychological Science. 3: 797-815
Idelson CR, Vogt WC, King-Casas B, et al. (2015) Effect of mechanical optical clearing on near-infrared spectroscopy. Lasers in Surgery and Medicine. 47: 495-502
Li T, Murphy S, Kiselev B, et al. (2015) A New Interleukin-13 Amino-Coated Gadolinium Metallofullerene Nanoparticle for Targeted MRI Detection of Glioblastoma Tumor Cells. Journal of the American Chemical Society. 137: 7881-8
Zuo XN, Anderson JS, Bellec P, et al. (2014) An open science resource for establishing reliability and reproducibility in functional connectomics. Scientific Data. 1: 140049
Stoeckel LE, Garrison KA, Ghosh S, et al. (2014) Optimizing real time fMRI neurofeedback for therapeutic discovery and development. Neuroimage. Clinical. 5: 245-55
Eierud C, Craddock RC, Fletcher S, et al. (2014) Neuroimaging after mild traumatic brain injury: Review and meta-analysis. Neuroimage. Clinical. 4: 283-94
Eklund A, Dufort P, Villani M, et al. (2014) BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs. Frontiers in Neuroinformatics. 8: 24
Eklund A, Dufort P, Forsberg D, et al. (2013) Medical image processing on the GPU - past, present and future. Medical Image Analysis. 17: 1073-94
Papageorgiou TD, Lisinski JM, McHenry MA, et al. (2013) Brain-computer interfaces increase whole-brain signal to noise. Proceedings of the National Academy of Sciences of the United States of America. 110: 13630-5
Craddock RC, Milham MP, LaConte SM. (2013) Predicting intrinsic brain activity. Neuroimage. 82: 127-36
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