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J Appl Physiol, Vol. 82, No. 5. (1 May 1997), pp. 1542-1558.
Abstract
De Lorenzo, A., A. Andreoli, J. Matthie, and P. Withers. Predicting body cell mass with bioimpedance by using theoretical methods: a technological review. J. Appl. Physiol. 82(5): 1542-1558, 1997.[---]The body cell mass (BCM), defined as intracellular water (ICW), was estimated in 73 healthy men and women by total body potassium (TBK) and by bioimpedance spectroscopy (BIS). In 14 other subjects, extracellular water (ECW) and total body water (TBW) were measured by bromide dilution and deuterium oxide dilution, respectively. For all subjects, ...
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Image Processing. 2002. Proceedings. 2002 International Conference on In Image Processing. 2002. Proceedings. 2002 International Conference on, Vol. 3 (2002), pp. 929-932 vol.3.
Abstract
We adopt a local Fourier transform as a texture representation scheme and derive eight characteristic maps for describing different aspects of cooccurrence relations of image pixels in each channel of the (SVcosH, SVsinH, V) color space. Then we calculate the first and second moments of these maps as a representation of the natural color image pixel distribution, resulting in a 48-dimensional feature vector. The novel low-level feature is named color texture moments (CTM), which can also be regarded as a certain ...
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Medical Imaging, IEEE Transactions on In Medical Imaging, IEEE Transactions on, Vol. 16, No. 1. (1997), pp. 78-86.
Abstract
An accurate diagnosis of burns and pressure ulcers in the early stages can be made by computerized image processing. This study describes a critical assessment of potential methodologies for noninvasive wound evaluation using a color imaging system. The authors also developed a method for quantifying histological readings and applied these techniques to a porcine animal model of wound formation. Differences in calibrated hue between injured and noninjured skin provided a repeatable differentiation of wound severity for situations when the time of ...
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Conc. Magn. Res., Vol. 16A, No. 1. (2003), pp. 50-62.
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Machine Learning and Applications, 2005. Proceedings. Fourth International Conference on In Machine Learning and Applications, 2005. Proceedings. Fourth International Conference on (2005), 6 pp..
Abstract
Machine learning techniques are widely used in the analysis of biomedical datasets. Modern devices tend to produce voluminous, high-dimensional datasets for which medical practitioners require high-performance, user-friendly programs and researchers need effective algorithm development and testing platforms. Interactive development systems, such as MATIAB, provide for rapid prototyping of algorithms and visualization but at the cost of computational efficiency. We present Scopira, a C++, open source programming framework for the development of biomedical data analysis applications. ...
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In OOPSLA '05: Companion to the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications (2005), pp. 138-139.
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IEEE Eng Med Biol Mag, Vol. 26, No. 1. (b 2007), pp. 16-19.
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Engineering in Medicine and Biology Magazine, IEEE, Vol. 26, No. 2. (2007), pp. 82-85.
Abstract
Pattern recognition techniques are widely used in the biomedical domain, solving problems ranging from the prediction of cancers to the detection of neural activations in the human brain. Modern biomedical techniques, such as magnetic resonance spectroscopy (MRS) or imaging (MRI), produce voluminous, high-dimensional datasets, whose reliable analysis by medical practitioners requires high-performance, user-friendly programs. Furthermore, researchers who develop such programs need effective algorithm development environments. Scopira facilitates the development of high-performance applications by providing many useful subsystems, flexible and efficient data ...
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IEEE Eng Med Biol Mag, Vol. 26, No. 2. (r 2007), pp. 56-63.
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