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Published/Copyright: May 24, 2014

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"Frontmatter" Bio-Algorithms and Med-Systems, vol. 10, no. 2, 2014, pp. i-iii. https://doi.org/10.1515/bams-2014-frontmatter2

(2014). Frontmatter. Bio-Algorithms and Med-Systems, 10(2), i-iii. https://doi.org/10.1515/bams-2014-frontmatter2

(2014) Frontmatter. Bio-Algorithms and Med-Systems, Vol. 10 (Issue 2), pp. i-iii. https://doi.org/10.1515/bams-2014-frontmatter2

"Frontmatter" Bio-Algorithms and Med-Systems 10, no. 2 (2014): i-iii. https://doi.org/10.1515/bams-2014-frontmatter2

Frontmatter. Bio-Algorithms and Med-Systems. 2014;10(2): i-iii. https://doi.org/10.1515/bams-2014-frontmatter2

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Published Online: 2014-5-24

Published in Print: 2014-6-30

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Frontmatter
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Computing support for advanced medical data analysis and imaging
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Application of WLS strips for position determination in strip PET tomograph based on plastic scintillators
Depth of interaction determination with temperature gradient function in continuous bismuth germanate oxide (BGO) crystal
Simulations of γ quanta scattering in a single module of the J-PET detector
Database and data structure for the novel TOF-PET detector developed for the J-PET project
Determination of the map of efficiency of the Jagiellonian Positron Emission Tomograph (J-PET) detector with the GATE package
Speaker identification based on artificial neural networks. Case study: the Polish vowel (pilot study)

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Frontmatter
Mini Review
Computing support for advanced medical data analysis and imaging
Computer Science Towards Medicines
Application of WLS strips for position determination in strip PET tomograph based on plastic scintillators
Depth of interaction determination with temperature gradient function in continuous bismuth germanate oxide (BGO) crystal
Simulations of γ quanta scattering in a single module of the J-PET detector
Database and data structure for the novel TOF-PET detector developed for the J-PET project
Determination of the map of efficiency of the Jagiellonian Positron Emission Tomograph (J-PET) detector with the GATE package
Speaker identification based on artificial neural networks. Case study: the Polish vowel (pilot study)