Dr. Pål Erik Goa Profile

Dr. Pål Erik Goa

at St Olavs Hospital

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Author

Publications (4)

SPIE Journal Paper | 1 May 2010 Open Access

Characterization of tumor microvascular structure and permeability: comparison between magnetic resonance imaging and intravital confocal imaging

Nina Reitan, Marte Thuen, Pål Erik Goa, Catharina de Lange Davies

JBO, Vol. 15, Issue 03, 036004, (May 2010) https://doi.org/10.1117/12.10.1117/1.3431095

KEYWORDS: Tumors, Tissues, Magnetic resonance imaging, Blood vessels, Fractal analysis, Luminescence, Plasma, Confocal microscopy, Signal detection, Blood

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Proceedings Article | 5 October 2006 Paper

A compact combined hyperspectral and polarimetric imager

Torbjørn Skauli, Pål Erik Goa, Ivar Baarstad, Trond Løke

Proceedings Volume 6395, 639505 (2006) https://doi.org/10.1117/12.693484

KEYWORDS: Cameras, Polarimetry, Polarization, Sensors, Imaging systems, Hyperspectral imaging, Remote sensing, Detector arrays, Diffraction gratings, Signal detection

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Proceedings Article | 6 December 2004 Paper

Target detection in hyperspectral images based on multicomponent statistical models for representation of background clutter

Ingebjorg Kasen, Pal Erik Goa, Torbjorn Skauli

Proceedings Volume 5612, (2004) https://doi.org/10.1117/12.578782

KEYWORDS: Target detection, Hyperspectral target detection, Hyperspectral imaging, Statistical analysis, Scanning electron microscopy, Performance modeling, Detection and tracking algorithms, Electro optical modeling, Statistical modeling, Expectation maximization algorithms

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Proceedings Article | 10 November 2004 Paper

Physical subspace models for invariant material identification: subspace composition and detection performance

Pal Erik Goa, Torbjorn Skauli, Ingebjorg Kasen, Trym Vegard Haavardsholm, Anders Rodningsby

Proceedings Volume 5573, (2004) https://doi.org/10.1117/12.565612

KEYWORDS: Target detection, Atmospheric modeling, Performance modeling, Detection and tracking algorithms, RGB color model, Sensors, Signal to noise ratio, Hyperspectral imaging, Reflectivity, Data modeling

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