Search Results - "Montseny, Eduard"

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  1. 1

    State of the art survey on MRI brain tumor segmentation by Gordillo, Nelly, Montseny, Eduard, Sobrevilla, Pilar

    Published in Magnetic resonance imaging (01-10-2013)
    “…Abstract Brain tumor segmentation consists of separating the different tumor tissues (solid or active tumor, edema, and necrosis) from normal brain tissues:…”
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    Journal Article Publication
  2. 2

    Fuzzy Texture Unit and Fuzzy Texture Spectrum for texture characterization by Barcelo, Aina, Montseny, Eduard, Sobrevilla, Pilar

    Published in Fuzzy sets and systems (01-02-2007)
    “…An important problem that is necessary to face up to in texture characterization is that while the notion of texture is easy to grasp intuitively, it is…”
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    Journal Article Conference Proceeding
  3. 3
  4. 4

    Variability estimation of hue and saturation components in the HSV space by Romani, Santiago, Sobrevilla, Pilar, Montseny, Eduard

    Published in Color research and application (01-08-2012)
    “…When dealing with hue‐saturation‐value (HSV) components, one must be very careful about nonlinearity and singularities of the HSV space, which can amplify…”
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    Journal Article
  5. 5
  6. 6

    A Deep-Neuro-Fuzzy approach for estimating the interaction forces in Robotic surgery by Aviles, Angelica I., Alsaleh, Samar M., Montseny, Eduard, Sobrevilla, Pilar, Casals, Alicia

    “…Fuzzy theory was motivated by the need to create human-like solutions that allow representing vagueness and uncertainty that exist in the real-world. These…”
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    Conference Proceeding
  7. 7

    Automated detection of parenchymal changes of ischemic stroke in non-contrast computer tomography: A fuzzy approach by Davis, A., Gordillo, N., Montseny, E., Aymerich, F.X., López-Córdova, M., Mej’ia, J., Ortega, L., Mederos, B.

    Published in Biomedical signal processing and control (01-08-2018)
    “…•The method identifies changes in parenchymal density in Non-Contrast Computer Tomography for the detection of early stages of ischemic stroke.•Based on the…”
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    Journal Article Publication
  8. 8

    A new fuzzy approach to brain tumor segmentation by Gordillo, N, Montseny, E, Sobrevilla, P

    Published in International Conference on Fuzzy Systems (01-07-2010)
    “…In this paper we present a fully automatic and unsupervised brain tumor segmentation method which considers human knowledge. The expert knowledge and the…”
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    Conference Proceeding
  9. 9

    THREECOND: An Automated and Unsupervised Three Colour Fuzzy-Based Algorithm for Detecting Nuclei in Cervical Pap Smear Images by Vaschetto, F., Montseny, E., Sobrevilla, P., Lerma, E.

    “…Visual examination and interpretation of microscopic images taken from the cervix are at the core for the detection and prevention of cervical cancer. However…”
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    Conference Proceeding
  10. 10

    A new fuzzy-based system for extracting structural features allowing to capture stripes' image local patterns by Sobrevilla, P., Montseny, E., Grau-Sanchez, M.

    Published in 2009 3rd Annual IEEE Systems Conference (01-03-2009)
    “…This paper presents our ongoing work for analyzing the power of the fuzzy texture spectrum for obtaining the patterns that determine the presence of some kind…”
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    Conference Proceeding
  11. 11

    On the Use of Fuzzy Texture Spectrum for Homogeneous and Textured Images Discrimination by Grau-Sanchez, M., Montseny, E., Sobrevilla, P.

    “…Identifying the perceived qualities and properties of texture in images is an important step for image analysis, however the vague definition of texture has…”
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    Conference Proceeding
  12. 12

    Robustness and Performance Evaluation of the Fuzzy Texture Spectrum encoding by Barcelo, A., Sobrevilla, P., Montseny, E.

    “…In a previous work we introduced the fuzzy texture spectrum (FTS) as a texture spectrum (TS)-based method wherein, for capturing the ambiguity of texture…”
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    Conference Proceeding
  13. 13

    Reliable 3D reconstruction extending pixel-level certainty measures by Casamitjana, M, Pérez, M C, Aranda, J, Montseny, E, Martin, Enric X

    Published in International Conference on Fuzzy Systems (01-07-2010)
    “…A new method for obtaining a three-dimensional volumetric reconstruction from a set of views improving the classical Shape from Silhouette method (SFS) is…”
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    Conference Proceeding
  14. 14

    Fuzzy classification improvement by a pre-perceptual labelled segmentation algorithm by Del Amo, A., Sobrevilla, P., Montseny, E., Montero, J.

    “…The goal of this paper is to present how two different image processing approaches can be enhanced by merging both methodologies. We will see how the results…”
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    Conference Proceeding
  15. 15

    Fuzzy approach toward reducing false positives in the detection of small multiple sclerosis lesions in magnetic resonance images by Aymerich, F. X., Sobrevilla, P., Montseny, E., Rovira, A.

    “…The large number of false positives that result when automatic algorithms are considered for segmenting small multiple sclerosis lesions in magnetic resonance…”
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    Conference Proceeding Journal Article
  16. 16

    FLCSFD - A fuzzy local-based approach for detecting cerebrospinal fluid regions in presence of MS lesions by Aymerich, F.X., Montseny, E., Sobrevilla, P., Rovira, A.

    “…Magnetic Resonance Imaging (MRI) is an important paraclinical tool for diagnosing Multiple Sclerosis (MS) and providing several markers of disease activity and…”
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    Conference Proceeding Publication
  17. 17

    On real time image processing on a network of PCs by Millan, P., Montseny, E.

    “…Many image processing algorithms have a very high execution time if only a processor is used for processing them. Using a SIMD parallel structure for its…”
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    Conference Proceeding Publication