Browsing by Author "Montseny Masip, Eduard"
Now showing items 1-16 of 16
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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)
Conference report
Open Access -
AIRSUB-PORT: Inspection of habours with a ROV
Monferrer de la Peña, Alexandre; Ordás Jiménez, Santiago; Montseny Masip, Eduard (SARTI (Technological Development Centre of Remote Acquisition and Data processing Systems. Technical University of Catalonia (UPC)., 2005-10-01)
Article
Open Access -
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)
Conference report
Open AccessThis 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
Open AccessIn 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 ... -
Automated detection of parenchymal changes of ischemic stroke in non-contrast computer tomography: a fuzzy approach
Davis, Alberto; Gordillo Castillo, Nelly; Montseny Masip, Eduard; Aymerich Martínez, Francisco Javier; López Córdova, M.; Mejía Muñoz, J.; Ortega, L.; Mederos, B. (2018-08-01)
Article
Open AccessThe detection of ischemic changes is a primary task in the interpretation of brain Computer Tomography (CT) of patients suffering from neurological disorders. Although CT can easily show these lesions, their interpretation ... -
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)
Review
Open Access -
Editorial [Joint EUSFLAT-LFA 2005 Conference]
Sobrevilla Frisón, Pilar; Montseny Masip, Eduard (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2006)
Review
Open Access -
Estudi de la transformació de l'espai de color RGB a l'espai de color HSV
Grau Gotés, Maria Àngela; Grau Sánchez, Miguel; Montseny Masip, Eduard; Sobrevilla Frisón, Pilar (2008-09-26)
Research report
Open AccessS’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)
Conference report
Open AccessThis 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)
Conference lecture
Restricted access - publisher's policyMagnetic 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 ... -
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)
Conference report
Restricted access - publisher's policy -
Fuzzy sets in computer vision: an overview
Sobrevilla Frisón, Pilar; Montseny Masip, Eduard (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2003)
Article
Open AccessEvery 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 ... -
On real time image processing on a network of PCs
Millán, Pere; Montseny Masip, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2005)
Conference report
Open AccessMany 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 execution could reduce this time. This is particularly important in ... -
State of the art survey on MRI brain tumor segmentation
Gordillo Castillo, Nelly; Montseny Masip, Eduard; Sobrevilla Frisón, Pilar (2013-06-20)
Article
Restricted access - publisher's policyBrain 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 ... -
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
Open Access -
V-ANFIS for Dealing with Visual Uncertainty for Force Estimation in Robotic Surgery
Avilés Rivero, Angélica Ivone; Alsaleh, Samar M.; Montseny Masip, Eduard; Casals Gelpi, Alicia (Atlantis Press, 2015)
Conference report
Open AccessAccurate and robust estimation of applied forces in Robotic-Assisted Minimally Invasive Surgery is a very challenging task. Many vision-based solutions attempt to estimate the force by measuring the surface deformation ...