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Depósito Digital de Documentos de la UAB Encontrados 31 registros  1 - 10siguientefinal  ir al registro: La búsqueda tardó 0.02 segundos. 
1.
14 p, 625.5 KB Automated Systems for Calculating Arteriovenous Ratio in Retinographies : A Scoping Review / García-Sierra, Rosa (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ; López-Lifante, Victor M. (Institut Universitari d'Investigació en Atenció Primària Jordi Gol) ; Isusquiza Garcia, Erik (ULMA Medical Technologies, S. Coop) ; Heras, Antonio (Institut Universitari d'Investigació en Atenció Primària Jordi Gol) ; Besada, Idoia (ULMA Medical Technologies, S. Coop) ; Verde Lopez, David (Institut Universitari d'Investigació en Atenció Primària Jordi Gol) ; Alzamora, M. Teresa (Institut Universitari d'Investigació en Atenció Primària Jordi Gol) ; Forés Raurell, Rosa (Institut Universitari d'Investigació en Atenció Primària Jordi Gol) ; Montero-Alía, Pilar (Institut Universitari d'Investigació en Atenció Primària Jordi Gol) ; Ugarte Anduaga, Jurgi (ULMA Medical Technologies, S. Coop) ; Torán Montserrat, Pere (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ; Universitat Autònoma de Barcelona
There is evidence of an association between hypertension and retinal arteriolar narrowing. Manual measurement of retinal vessels comes with additional variability, which can be eliminated using automated software. [...]
2022 - 10.3390/diagnostics12112865
Diagnostics, Vol. 12 (november 2022)  
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2.
14 p, 840.3 KB Expressive Color Visual Secret Sharing with Color to Gray & Back and Cosine Transform / Chaturvedi, Ratnesh Naresh (Symbiosis International University. Symbiosis Institute of Technology) ; Thepade, Sudeep D. (Savitribai Phule Pune University. Department of Computer Engineering) ; Ahirrao, Swati (Symbiosis International University. Symbiosis Institute of Technology) ; Kothari, Sonali (Symbiosis International University. Symbiosis Institute of Technology)
Color Visual Secret Sharing (VSS) is an essential form of VSS. It is so because nowadays, most people like to share visual data as a color image. There are color VSS schemes capable of dealing with halftone color images or color images with selected colors, and some dealing with natural color images, which generate low quality of recovered secret. [...]
2023 - 10.5565/rev/elcvia.1405
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 1 (2023) , 1-14 (Regular Issue)  
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3.
11 p, 1.6 MB Divergent connectomic organization delineates genetic evolutionary traits in the human brain / Bueichekú, Elisenda (Gordon Center for Medical Imaging. Department of Radiology. Massachusetts General Hospital. Harvard Medical School) ; González-de-Echávarri, José María (Barcelonaβeta Brain Research Center (BBRC)) ; Ortiz-Teran, L. (Department of Radiology. Division of Nuclear Medicine and Molecular Imaging. Brigham and Women's Hospital. Harvard Medical School) ; Montal, Victor (Institut d'Investigació Biomèdica Sant Pau) ; d'Oleire Uquillas, F. (Princeton Neuroscience Institute. Princeton University) ; De Marcos, L. (Clínica Universidad de Navarra) ; Orwig, W. (Gordon Center for Medical Imaging. Department of Radiology. Massachusetts General Hospital. Harvard Medical School) ; Kim, C.M. (Athinoula A. Martinos Center for Biomedical Imaging. Department of Radiology. Massachusetts General Hospital. Harvard Medical School) ; Ortiz-Teran, E. (Universidad Rey Juan Carlos. Facultad de Ciencias Jurídicas y Sociales) ; Basaia, Silvia (Neuroimaging Research Unit. San Raffaele Scientific Institute. Vita-Salute San Raffaele University) ; Diez, I. (Athinoula A. Martinos Center for Biomedical Imaging. Department of Radiology. Massachusetts General Hospital. Harvard Medical School) ; Sepulcre, J. (Athinoula A. Martinos Center for Biomedical Imaging. Department of Radiology. Massachusetts General Hospital. Harvard Medical School) ; Universitat Autònoma de Barcelona
The relationship between human brain connectomics and genetic evolutionary traits remains elusive due to the inherent challenges in combining complex associations within cerebral tissue. In this study, insights are provided about the relationship between connectomics, gene expression and divergent evolutionary pathways from non-human primates to humans. [...]
2021 - 10.1038/s41598-021-99082-6
Scientific reports, Vol. 11 Núm. 1 (december 2021) , p. 19692  
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4.
27 p, 5.4 MB Analysis of Parainflammation in Chronic Glaucoma Using Vitreous-OCT Imaging / Rodrigo Sanjuan, María Jesús (Instituto de Salud Carlos III) ; Subías, Manuel (Instituto de Investigación Sanitaria de Aragón) ; Montolío, Alberto (Universidad de Zaragoza. Departamento de Ingeniería Mecánica) ; Méndez-Martínez, Silvia (Instituto de Investigación Sanitaria de Aragón) ; Martínez-Rincón, Teresa (Instituto de Investigación Sanitaria de Aragón) ; Arias, Lorena (Instituto de Investigación Sanitaria de Aragón) ; Garcia-Herranz, David (Universidad Complutense de Madrid. Facultad de Farmacia) ; Bravo-Osuna, Irene (Universidad Complutense de Madrid. Facultad de Farmacia) ; García-Feijoo, Julián (Hospital Clínico San Carlos (Madrid)) ; Pablo, Luis E (Instituto de Salud Carlos III) ; Cegoñino, José (Universidad de Zaragoza. Departamento de Ingeniería Mecánica) ; Herrero-Vanrell, Rocío (Universidad Complutense de Madrid. Facultad de Farmacia) ; Carretero i Romay, Ana (Universitat Autònoma de Barcelona. Departament de Sanitat i d'Anatomia Animals) ; Ruberte, Jesús (Universitat Autònoma de Barcelona. Departament de Sanitat i d'Anatomia Animals) ; Garcia-Martin, Elena (Instituto de Salud Carlos III) ; Pérez del Palomar, Amaya (Universidad de Zaragoza. Departamento de Ingeniería Mecánica)
Glaucoma causes blindness due to the progressive death of retinal ganglion cells. The immune response chronically and subclinically mediates a homeostatic role. In current clinical practice, it is impossible to analyse neuroinflammation non-invasively. [...]
2021 - 10.3390/biomedicines9121792
Biomedicines, Vol. 9 (november 2021)  
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5.
10 p, 2.2 MB Feature selection based on discriminative power under uncertainty for computer vision applications / Chakroun, Marwa (University of Sfax. Control and Energy Management Lab) ; Bouhamed, Sonda Ammar (University of Sfax. Control and Energy Management Lab) ; Kallel, Imene Khanfir (University of Sfax. Control and Energy Management Lab) ; Solaiman, Basel (IMT Atlantique (Brest, França)) ; Derbel, Houda (University of Sfax. Control and Energy Management Lab)
Feature selection is a prolific research field, which has been widely studied in the last decades and has been successfully applied to numerous computer vision systems. It mainly aims to reduce the dimensionality and thus the system complexity. [...]
2022 - 10.5565/rev/elcvia.1361
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 21 Núm. 1 (2022) , p. 111-120 (Regular Issue)  
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6.
18 p, 2.9 MB A Multi-staged Feature-Attentive Network for Fashion Clothing Classification and Attribute Prediction / Shajini, Majuran (University of Jaffna) ; Ramanan, Amirthalingam (University of Jaffna)
In the visual fashion clothing analysis, many researchers are attracted with the success of deep learning concepts. In this work, we introduce a multi-staged feature-attentive network to attain clothing category classification and attribute prediction. [...]
2021 - 10.5565/rev/elcvia.1409
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 2 (2021) , p. 83-100 (Regular Issue)  
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7.
13 p, 11.4 MB Underwater Acoustic Image Denoising Using Stationary Wavelet Transform and Various Shrinkage Functions / Ravisankar, Priyadharsini (Sri Sivasubramanya Nadar College of Engineering)
Underwater acoustic images are captured by sonar technology which uses sound as a source. The noise in the acoustic images may occur only during acquisition. These noises may be multiplicative in nature and cause serious effects on the images affecting their visual quality. [...]
2021 - 10.5565/rev/elcvia.1360
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 2 (2021) , p. 38-50 (Regular Issue)  
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8.
15 p, 1.2 MB Accuracy improvement of the inSAR quality-guided phase unwrapping based on a modified PDV map / Bentahar, Tarek (Larbi Tebessi University. Laboratory of electrical engineering-telecommunications-LABGET)
In this paper, an accuracy improvement of the quality-guided phase unwrapping algorithm is proposed. Our proposal is based on a modified phase derivative variance which provides more details on local variations especially for important patterns such as fringes and edges, hence distorted regions may be re-unwrapped according to this new reliable PDV. [...]
2021 - 10.5565/rev/elcvia.1220
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 2 (2021) , p. 22-37 (Regular Issue)  
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9.
14 p, 1.1 MB Edge detection algorithm for omnidirectional images, based on superposition laws on Blach's sphere and quantum entropy / Ezzaki, Ayoub (Mohammed V University in Rabat. Physics Department) ; Benkhedra, Dirar (Mohammed V University in Rabat. Mathematic Department) ; El Ansari, Mohamed (My Ismail University in Meknes (Marroc). Computer Science Department) ; Masmoudi, Lhoussaine (Mohammed V University in Rabat. Physics Department)
This paper presents an edge detection algorithm for omnidirectional images based on superposition law onBloch's sphere and quantum local entropy. Omnidirectional vision system has become an essential tool incomputer vision, duo to its large field of view. [...]
2021 - 10.5565/rev/elcvia.1338
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 70-83 (Regular Issue)  
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10.
15 p, 1.4 MB Recognition of Devanagari Scene Text Using Autoencoder CNN / Shiravale, Sankirti S. (Marathwada Mitra Mandal's College of Engineering (Índia). Department of Computer Engineering) ; Jayadevan, R. (Army Institute of Technology (Pune, Índia). Department of Computer Engineering) ; Sannakki, Sanjeev S. (Gogte Institute of Technology (Belagavi, Índia). Department of Computer Science and Engineering)
Scene text recognition is a well-rooted research domain covering a diverse application area. Recognition of scene text is challenging due to the complex nature of scene images. Various structural characteristics of the script also influence the recognition process. [...]
2021 - 10.5565/rev/elcvia.1344
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 55-69 (Regular Issue)  
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Depósito Digital de Documentos de la UAB : Encontrados 31 registros   1 - 10siguientefinal  ir al registro:
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