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Pilar Sobrevilla
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2010 – 2019
- 2016
- [c32]Samar M. Alsaleh, Angelica I. Avilés, Pilar Sobrevilla, Alicia Casals
, James K. Hahn:
Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images. EMBC 2016: 1196-1199 - [c31]Angelica I. Avilés, Samar M. Alsaleh, Eduard Montseny, Pilar Sobrevilla, Alicia Casals
A Deep-Neuro-Fuzzy approach for estimating the interaction forces in Robotic surgery. FUZZ-IEEE 2016: 1113-1119 - [c30]Francesc Xavier Aymerich, Pilar Sobrevilla, Eduard Montseny, Alex Rovira:
Application of a Mamdani-Type Fuzzy Rule-Based System to Segment Periventricular Cerebral Veins in Susceptibility-Weighted Images. IPMU (1) 2016: 612-623 - [c29]Samar M. Alsaleh, Angelica I. Avilés, Pilar Sobrevilla, Alicia Casals
Towards robust specularity detection and inpainting in cardiac images. Image-Guided Procedures 2016: 97861Q - [c28]Angelica I. Avilés, Samar M. Alsaleh, Pilar Sobrevilla, Alicia Casals
Exploring the effects of dimensionality reduction in deep networks for force estimation in robotic-assisted surgery. Image-Guided Procedures 2016: 97861X - 2015
- [c27]Angelica I. Avilés, Samar M. Alsaleh, Pilar Sobrevilla, Alicia Casals
Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery. EMBC 2015: 1-4 - [c26]Samar M. Alsaleh, Angelica I. Avilés, Pilar Sobrevilla, Alicia Casals
Automatic and robust single-camera specular highlight removal in cardiac images. EMBC 2015: 675-678 - [c25]Angelica I. Avilés, Samar M. Alsaleh, Pilar Sobrevilla, Alicia Casals
Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery. NER 2015: 86-89 - 2014
- [c24]Angelica I. Avilés, Pilar Sobrevilla, Alicia Casals
Unconstrained ℓ1 - regularized minimization with interpolated transformations for heart motion compensation. EMBC 2014: 5109-5112 - [c23]Angelica I. Avilés, Arturo Marbán, Pilar Sobrevilla, Josep Fernández, Alicia Casals
A recurrent neural network approach for 3D vision-based force estimation. IPTA 2014: 111-116 - 2011
- [j6]Pilar Sobrevilla:
2010 IEEE World Congress on Computational Intelligence (2010 IEEE WCCI) [Conference Report]. IEEE Comput. Intell. Mag. 6(1): 17-19 (2011) - [j5]Francesc Xavier Aymerich, J. Alonso, M. E. Cabañas, Manuel Comabella
Decision tree based fuzzy classifier of 1H magnetic resonance spectra from cerebrospinal fluid samples. Fuzzy Sets Syst. 170(1): 43-63 (2011) - [c22]Francesc Xavier Aymerich, Pilar Sobrevilla, Eduard Montseny, Alex Rovira:
Fuzzy approach toward reducing false positives in the detection of small multiple sclerosis lesions in magnetic resonance images. EMBC 2011: 5694-5697 - [c21]Francesc Xavier Aymerich, Pilar Sobrevilla, Eduard Montseny, Alex Rovira:
Detection of hyperintense regions on MR brain images using a Mamdani type Fuzzy Rule-Based System: Application to the detection of small multiple sclerosis lesions. FUZZ-IEEE 2011: 751-758 - 2010
- [j4]Pilar Sobrevilla, Eduard Montseny, Fabio Vaschetto, Enrique Lerma:
Fuzzy-Based Analysis of Microscopic Color Cervical Pap Smear Images: Nuclei Detection. Int. J. Comput. Intell. Appl. 9(3): 187-206 (2010) - [c20]Francesc Xavier Aymerich, Pilar Sobrevilla, Eduard Montseny, Alex Rovira:
Filtering false detections of small multiple sclerosis lesions using fuzzy regional analysis. FUZZ-IEEE 2010: 1-8 - [c19]Nelly Gordillo Castillo
A new fuzzy approach to brain tumor segmentation. FUZZ-IEEE 2010: 1-8 - [c18]Francesc Xavier Aymerich, Eduard Montseny, Pilar Sobrevilla, Alex Rovira:
A Fuzzy Regional-Based Approach for Detecting Cerebrospinal Fluid Regions in Presence of Multiple Sclerosis Lesions. IPMU (2) 2010: 552-561 - [c17]Santiago Romaní
Cytoplasm Contour Approximation Based on Color Fuzzy Sets and Color Gradient. IPMU 2010: 645-654
2000 – 2009
- 2009
- [c16]Belén Prados-Suárez, Pilar Sobrevilla, Eduard Montseny, Santiago Romaní:
On the Reliability of the Color Gradient Vector Argument Approach. IFSA/EUSFLAT Conf. 2009: 1863-1868 - [c15]Francesc Tinena, Pilar Sobrevilla, Eduard Montseny:
On quality assessment of corneal endothelium and its possibility to be used for surgical corneal transplantation. FUZZ-IEEE 2009: 1326-1331 - [c14]Fabio Vaschetto, Eduard Montseny, Pilar Sobrevilla, Enrique Lerma:
THREECOND: An Automated and Unsupervised Three Colour Fuzzy-Based Algorithm for Detecting Nuclei in Cervical Pap Smear Images. ISDA 2009: 1359-1364 - 2008
- [p1]Pilar Sobrevilla, Eduard Montseny, Enrique Lerma:
A Fuzzy-based Automated Cells Detection System for Color Pap Smear Tests --FACSDS-. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 657-674 - 2007
- [j3]Pilar Sobrevilla, Eduard Montseny:
Editorial. Fuzzy Sets Syst. 158(3): 213-214 (2007) - [j2]Aina Barcelo
Fuzzy Texture Unit and Fuzzy Texture Spectrum for texture characterization. Fuzzy Sets Syst. 158(3): 239-252 (2007) - [c13]Miquel Grau-Sánchez, Eduard Montseny, Pilar Sobrevilla:
On the Use of Fuzzy Texture Spectrum for Homogeneous and Textured Images Discrimination. FUZZ-IEEE 2007: 1-6 - 2006
- [j1]Santiago Romaní
An approach to manage Hue and Saturation uncertainty addressed to colour segmentation algorithms. Int. J. Intell. Syst. Technol. Appl. 1(3/4): 393-408 (2006) - [c12]Aina Barcelo
Robustness and Performance Evaluation of the Fuzzy Texture Spectrum encoding. FUZZ-IEEE 2006: 1279-1286 - 2005
- [c11]Aina Barcelo, Eduard Montseny, Pilar Sobrevilla:
On the Fuzzy Texture Spectrum for Natural Microtextures Characterization. EUSFLAT Conf. 2005: 685-690 - [c10]Eduard Montseny, Belén Prados-Suárez, Pilar Sobrevilla, Santiago Romaní:
An approach to Color Gradient Vector Argument considering Data Uncertainty. EUSFLAT Conf. 2005: 705-708 - [c9]Santiago Romaní
On the Reliability Degree of Hue and Saturation Values of a Pixel for Color Image Classification. FUZZ-IEEE 2005: 306-311 - [e1]Eduard Montseny, Pilar Sobrevilla:
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, Barcelona, Spain, September 7-9, 2005. Universidad Polytecnica de Catalunya 2005, ISBN 84-7653-872-3 [contents] - 2004
- [c8]Eduard Montseny, Pilar Sobrevilla, Santiago Romaní
A fuzzy approach to white blood cells segmentation in color bone marrow images. FUZZ-IEEE 2004: 173-178 - [c7]Pilar Sobrevilla, Eduard Montseny:
On Fuzzy Labelled Image Segmentation Based on Perceptual Features. ICAISC 2004: 754-759 - 2003
- [c6]Eduard Montseny, Pilar Sobrevilla, Pere Marès Martí:
Edge orientation-based fuzzy Hough transform (EOFHT). EUSFLAT Conf. 2003: 683-688 - [c5]Santiago Romaní, Pilar Sobrevilla, Eduard Montseny:
Obtaining the relevant colors of an image through stability-based fuzzy color histograms. FUZZ-IEEE 2003: 914-919 - 2002
- [c4]Eduard Montseny, Pilar Sobrevilla:
On the use of image data information for getting a brightness' perceptual fuzzy model. FUZZ-IEEE 2002: 1086-1091 - 2001
- [c3]Eduard Montseny, Pilar Sobrevilla:
On fuzzy rule-based algorithms for image segmentation using gray-level histogram analysis. EUSFLAT Conf. 2001: 59-62 - [c2]Pilar Sobrevilla, Eduard Montseny:
Generation of Brightness Membership Functions for Labeled Image Segmentation. FUZZ-IEEE 2001: 687-691
1990 – 1999
- 1992
- [c1]Eduard Montseny, Gabriel Oliver-Codina, Pilar Sobrevilla:
Multi-processor system for polygonal object recognition by means of fuzzy algorithms. ICPR (4) 1992: 170-172
Coauthor Index
aka: Angelica I. Avilés
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