Ara es mostren els items 1-19 de 19

  • A Fuzzy Regional-Based Approach for Detecting Cerebrospinal Fluid Regions in presence of Multiple Sclerosis Lesions 

    Aymerich Martínez, Francisco Javier; Montseny Masip, Eduard; Sobrevilla Frisón, Pilar; Rovira, Àlex (Springer-Verlag, Berlin, Heidelberg,, 2010)
    Text en actes de congrés
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  • A recurrent neural network approach for 3d vision-based force estimation 

    Avilés Rivero, Angélica Ivone; Marbán González, Arturo; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia; Fernández Ruzafa, José (Institute of Electrical and Electronics Engineers (IEEE), 2014)
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    Robotic-assisted minimally invasive surgery has demonstrated its benefits in comparison with traditional procedures. However, one of the major drawbacks of current robotic system approaches is the lack of force feedback. ...
  • Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images 

    Alsaleh, Samar M.; Avilés Rivero, Angélica; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia; Hahn, James K. (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Comunicació de congrés
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    Minimally invasive surgical and diagnostic systems rely on endoscopic images of internal organs to assist medical tasks. Specular highlights are common on those images due to the strong reflectivity of the mucus layer on ...
  • An approach for physiological motion compensation in robotic-assisted cardiac surgery 

    Avilés Rivero, Angélica Ivone; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia (2014-11-14)
    Article
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    The lack of physiological motion compensation is a major problem in robotic-assisted cardiac surgery. Since the heart is beating while the surgeon carried out the procedure, dexterity of the surgeon’s and precision are ...
  • Application of a Mamdani-type fuzzy rule-based system to segment periventricular cerebral veins in susceptibility-weighted images 

    Aymerich Martínez, Francisco Javier; Sobrevilla Frisón, Pilar; Montseny Masip, Eduard; Rovira, Alex (Springer, 2016)
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    This paper presents an algorithm designed to segment veins in the periventricular region of the brain in susceptibility-weighted magnetic resonance images. The proposed algorithm is based on a Mamdani-type fuzzy rule-based ...
  • Application of fuzzy techniques to the design of algorithms in computer vision 

    Montseny Masip, Eduard; Sobrevilla Frisón, Pilar (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1998)
    Article
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    In this paper a method for the design of algorithms is presented which use fuzzy techniques in order to achieve a better vagueness treatment. A base of rules will be developed in order to design the algorithms. Data ...
  • Automatic and robust single-camera specular highlight removal in cardiac images 

    Alsaleh, Samar M.; Avilés Rivero, Angélica; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia; Hahn, James K. (Institute of Electrical and Electronics Engineers (IEEE), 2015)
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    In computer-assisted beating heart surgeries, accurate tracking of the heart’s motion is of huge importance and there is a continuous need to eliminate any source of error that might disturb the tracking process. One source ...
  • Editorial [6th. and 7th. Conferences of the Spanish Society for Fuzzy Logics: selection of papers] 

    Gil Álvarez, Pedro Angel; Montseny Masip, Eduard; Sobrevilla Frisón, Pilar (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1998)
    Ressenya
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  • Editorial [Joint EUSFLAT-LFA 2005 Conference] 

    Sobrevilla Frisón, Pilar; Montseny Masip, Eduard (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2006)
    Ressenya
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  • Estudi de la transformació de l'espai de color RGB a l'espai de color HSV 

    Grau Gotés, Mª Ángela; Grau Sánchez, Miguel; Montseny Masip, Eduard; Sobrevilla Frisón, Pilar (2008-09-26)
    Report de recerca
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    S’apliquen les tècniques clàssiques de propagació de l’error a la transformació de l’espai de color RGB en l’espai de color HSV a un conjunt de 1098 imatges test. El conjunt d’imatges test són 183 paletes de color i sis ...
  • Filtering False Detections of Small Multiple Sclerosis Lesions using Fuzzy Regional Analysis 

    Aymerich Martínez, Francisco Javier; Sobrevilla Frisón, Pilar; Montseny Masip, Eduard; Rovira, Àlex (2010)
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    This paper introduces a method to filter false detections of small multiple sclerosis lesions in magnetic resonance images based on the analysis of regional features. The proposed method considers as starting point the ...
  • FLCSFD - A fuzzy local-based approach for detecting cerebrospinal fluid regions in presence of MS lesions 

    Aymerich Martínez, Francisco Javier; Montseny Masip, Eduard; Sobrevilla Frisón, Pilar; Rovira, Àlex (2009-04)
    Comunicació de congrés
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    Magnetic Resonance Imaging (MRI) is an important paraclinical tool for diagnosing Multiple Sclerosis (MS) and providing several markers of disease activity and evolution. Traditionally, hypointense lesions on ...
  • Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery 

    Avilés Rivero, Angélica; Alsaleh, Samar M.; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia (Institute of Electrical and Electronics Engineers (IEEE), 2015)
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    The lack of force feedback is considered one of the major limitations in Robot Assisted Minimally Invasive Surgeries. Since add-on sensors are not a practical solution for clinical environments, in this paper we present a ...
  • Fuzzy approach toward reducing false positives in the detection of small multiple sclerosis lesions in magnetic resonance images 

    Aymerich Martínez, Francisco Javier; Sobrevilla Frisón, Pilar; Montseny Masip, Eduard; Rovira Cañellas, Alex (2011)
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  • Fuzzy sets in computer vision: an overview 

    Sobrevilla Frisón, Pilar; Montseny Masip, Eduard (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2003)
    Article
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    Every computer vision level crawl with uncertainty, what makes its management a significant problem to be considered and solved when trying for automated systems for scene analysis and interpretation. This is why fuzzy set ...
  • Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery 

    Avilés Rivero, Angélica Ivone; Alsaleh, Samar M.; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Comunicació de congrés
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    This paper addresses the issue of lack of force feedback in robotic-assisted minimally invasive surgeries. Force is an important measure for surgeons in order to prevent intra-operative complications and tissue damage. ...
  • State of the art survey on MRI brain tumor segmentation 

    Gordillo Castillo, Nelly; Montseny Masip, Eduard; Sobrevilla Frisón, Pilar (2013-06-20)
    Article
    Accés restringit per política de l'editorial
    Brain tumor segmentation consists of separating the different tumor tissues (solid or active tumor, edema,and necrosis) from normal brain tissues: gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). In ...
  • Unconstrained L1-regularized minimization with interpolated transformations for heart motion compensation 

    Avilés Rivero, Angélica Ivone; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia (2014)
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    Motion compensation constitutes a challenging issue in minimally invasive beating heart surgery. Since the zone to be repaired has a dynamic behaviour, precision and surgeon's dexterity decrease. In order to solve this ...
  • Use of fuzzy techniques for detection of multiple sclerosis small lesions 

    Aymerich Martínez, Francisco Javier; Sobrevilla Frisón, Pilar; Gili Planas, Jaume; Montseny Masip, Eduard (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1998)
    Article
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