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  <titleInfo>
    <title>Biomedical signal analysis</title>
    <subTitle>contemporary methods and applications</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Theis, Fabian J.</namePart>
    <namePart type="date">2009</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <name type="personal">
    <namePart>Meyer-Bäse, Anke.</namePart>
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    <place>
      <placeTerm type="text">Cambridge, Mass</placeTerm>
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    <publisher>MIT Press</publisher>
    <dateIssued>2009</dateIssued>
    <dateIssued encoding="marc">2010</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xiii, 415 p., [8] p. of plates : ill. (some col.) ; 24 cm.</extent>
  </physicalDescription>
  <tableOfContents>Foundations of medical imaging and signal recording -- Spectral transformations -- Information theory and principal component analysis -- Independent component analysis and blind source separation -- Dependent component analysis -- Pattern recognition techniques -- Fuzzy clustering and genetic algorithms -- Exploratory data analysis methods for fMRI -- Low-frequency functional connectivity in fMRI -- Classification of dynamic breast MR image data -- Dynamic cerebral contrast-enhanced perfusion MRI -- Skin lesion classification -- Microscopic slice image processing and automatic labeling -- NMR water artifact removal.</tableOfContents>
  <note type="statement of responsibility">Fabian J. Theis and Anke Meyer-Bäse.</note>
  <note>Includes bibliographical references and index.</note>
  <subject>
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      <namePart/>
    </name>
  </subject>
  <subject authority="lcsh">
    <topic>Magnetic resonance imaging</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Image processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Diagnostic imaging</topic>
  </subject>
  <classification authority="lcc">RC78.7.N83T445 2009</classification>
  <classification authority="ddc" edition="22">616.07/54</classification>
  <identifier type="isbn">9780262013284 (hardcover : alk. paper)</identifier>
  <identifier type="isbn">0262013282 (hardcover : alk. paper)</identifier>
  <identifier type="lccn">2008055768</identifier>
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