Lee Friedman - researchr alias

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Viewing Publication 1 - 7 from 7

2020

Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification PerformanceLee Friedman, Hal S. Stern, Larry R. Price, Oleg V. Komogortsev. sensors, 20(16):4555, 2020. [doi]

2019

Assessment of the Effectiveness of Seven Biometric Feature Normalization TechniquesLee Friedman, Oleg V. Komogortsev. tifs, 14(10):2528-2536, 2019. [doi]

2008

Chronic smoking and the BOLD response to a visual activation task and a breath hold task in patients with schizophrenia and healthy controlsLee Friedman, Jessica A. Turner, Hal S. Stern, Daniel H. Mathalon, Liv C. Trondsen, Steven G. Potkin. neuroimage, 40(3):1181-1194, 2008. [doi]

2006

Reducing inter-scanner variability of activation in a multicenter fMRI study: Role of smoothness equalizationLee Friedman, Gary H. Glover, Diana Krenz, Vince Magnotta. neuroimage, 32(4):1656-1668, 2006. [doi]

Reducing interscanner variability of activation in a multicenter fMRI study: Controlling for signal-to-fluctuation-noise-ratio (SFNR) differencesLee Friedman, Gary H. Glover, The FBIRN Consortium. neuroimage, 33(2):471-481, 2006. [doi]

Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging StudyVincent Magnotta, Lee Friedman. jdi, 19(2):140-147, 2006. [doi]

1996

Three Dimensional MR-Based Morphometric Comparison of Schizophrenic and Normal Cerebral VentriclesDavid Dean, Peter Buckley, Fred L. Bookstein, Janardhan Kamath, David Kwon, Lee Friedman, Christine Lys. vbc 1996: 363-372

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