Search Results - "Blom, J.A"

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  1. 1

    Movement correction of the kidney in dynamic MRI scans using FFT phase difference movement detection by Giele, E.L.W., de Priester, J.A., Blom, J.A., den Boer, J.A., van Engelshoven, J.M.A., Hasman, A., Geerlings, M.

    Published in Journal of magnetic resonance imaging (01-12-2001)
    “…To measure cortical and medullary MR renograms, regions of interest (ROIs) are placed on the kidney in images acquired using dynamic MRI. Since native kidneys…”
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    Journal Article
  2. 2

    Control aspects of clinical support systems by Blom, J.A., Hoeksel, S.A.A.P.

    “…Standard control theory approaches alone are not sufficient for the design of clinical control systems. Additional medical expertise has to be incorporated in…”
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  3. 3

    Temporal logics and real time expert systems by Blom, J.A.

    “…This paper introduces temporal logics. Due to the eternal compromise between expressive adequacy and reasoning efficiency that must decided upon in any…”
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  4. 4

    GASTON: an architecture for the acquisition and execution of clinical guideline-application tasks by DE CLERCQ, P. A, BLOM, J. A, HASMAN, A, KORSTEN, H. H. M

    “…Recently, studies have shown the benefits of using clinical guidelines in the practice of medicine. There have been numerous efforts to develop clinical…”
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  5. 5

    Reduction of noise in medullary renograms from dynamic MR images by Giele, E.L.W., de Priester, J.A., Blom, J.A., den Boer, J.A., van Engelshoven, J.M.A., Hasman, A.

    Published in Journal of magnetic resonance imaging (01-02-2000)
    “…Dynamic magnetic resonance images of the kidney can be used to acquire separate renograms of the cortex and medulla. A high‐quality cortical renogram can be…”
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  6. 6

    Evaluation of two cortical fraction estimation algorithms for the calculation of dynamic magnetic resonance renograms by Giele, E.L.W, de Priester, J.A, Blom, J.A, den Boer, J.A, van Engelshoven, J.M.A, Hasman, A

    “…With the high resolution of dynamic magnetic resonance imaging (MRI) scans it is possible to measure cortical renograms directly, but due to partial volume…”
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  7. 7

    Evaluation of automatically learned intelligent alarm systems by Müller, B., Hasman, A., Blom, J.A.

    “…In this contribution it is investigated whether a combination of mathematical simulation and inductive machine learning can replace the usual knowledge…”
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  8. 8

    OpenLabs services for ordering laboratory investigations by de Wilde, E.J.L., Pop, P., Hasman, A., Blom, J.A.

    “…An automated system is described that screens requests for laboratory investigations from GPs and delivers feedback with respect to the adequacy of the…”
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  9. 9

    Building intelligent alarm systems by combining mathematical models and inductive machine learning techniques by Müller, Bert, Hasman, A., Blom, J.A.

    “…In this article a technique is described to develop knowledge-based alarm systems for ventilator therapy, using mathematical modeling and machine learning…”
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  10. 10

    Building intelligent alarm systems by combining mathematical models and inductive machine learning techniques Part 2—Sensitivity analysis by Müller, B, Hasman, A., Blom, J.A.

    “…In an earlier study an approach was described to generate intelligent alarm systems for monitoring ventilation of patients via mathematical simulation and…”
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    Journal Article
  11. 11

    Correction of ocular artifacts in EEGs using an autoregressive model to describe the EEG; a pilot study by Van den Berg-Lenssen, M M, Brunia, C H, Blom, J A

    “…The basic idea in eye movement (EM) artifact corrections is that the actual recording is the summation of brain potentials (true EEG) and artifact. Often a…”
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  12. 12

    Prognosis, trend and prediction in patient management by Beneken, J E, Blom, J A, Jorritsma, F F, Nandorff, A, Spierdijk, J

    Published in Journal of biomedical engineering (01-07-1979)
    “…A survey was conducted to get to know the 'state of the art' in trend prediction as a basis for optimal therapy, with emphasis on research being done in the…”
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  13. 13