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Listar por autor "Naranjo Ornedo, Valeriana"

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A Comparison of Physiological Signal Analysis Techniques and Classifiers for Automatic Emotional Evaluation of Audiovisual Contents

Colomer Granero, Adrián; Fuentes-Hurtado, Félix José; Naranjo Ornedo, Valeriana; Guixeres Provinciale, Jaime; Ausin-Azofra, Jose Manuel; Alcañiz Raya, Mariano Luis (Frontiers Media, 2016-07-15)

This work focuses on finding the most discriminatory or representative features that allow to classify commercials according to negative, neutral and positive effectiveness based on the Ace Score index. For this purpose, ...
A Deep Embedded Framework for Spitzoid Neoplasm Classification Using DNA Methylation Data

del Amor, Rocío; Colomer, Adrián; Monteagudo, Carlos; Garzón, María José; García-Giménez, José Luis; Naranjo Ornedo, Valeriana (IEEE, 2021-08-27)

[EN] Spitzoid melanocytic tumors (SMT) are a group of neoplasms that represent a formidable diagnostic challenge for dermatopathologists. DNA methylation (DNAm) is a welldefined epigenetic factor that has an important role ...
A deep embedded refined clustering approach for breast cancer distinction based on DNA methylation

del Amor, Rocío; Colomer, Adrián; Monteagudo, Carlos; Naranjo Ornedo, Valeriana (Springer-Verlag, 2021-07-31)

[EN] Epigenetic alterations have an important role in the development of several types of cancer. Epigenetic studies generate a large amount of data, which makes it essential to develop novel models capable of dealing with ...
A hybrid method for accurate iris segmentation on at-a-distance visible-wavelength images

Fuentes-Hurtado, Félix José; Naranjo Ornedo, Valeriana; Diego-Mas, Jose Antonio; Alcañiz Raya, Mariano Luis (Springer (Biomed Central Ltd.), 2019-08-15)

[EN] This work describes a new hybrid method for accurate iris segmentation from full-face images independently of the ethnicity of the subject. It is based on a combination of three methods: facial key-point detection, ...
A Method for Liver Segmentation on Computed Tomography Images in Venous Phase Suitable for Real Environments

López-Mir, Fernando; González Pérez, Pablo; Naranjo Ornedo, Valeriana; Pareja, Eugenia; Morales, Sandra; Solaz-Minguez, Jaime (American Scientific Publishers, 2015-10)

Nowadays, different methods are being published for the segmentation of the liver but, in general, most of them are not suitable for clinical practice due to several inconveniences as high computational cost, excessive ...
A New Optical Density Granulometry-Based Descriptor for the Classification of Prostate Histological Images Using Shallow and Deep Gaussian Processes

Esteban, A. E.; López-Pérez, Miguel; Colomer, Adrián; Sales, Maria A.; Molina, Rafael; Naranjo Ornedo, Valeriana (Elsevier, 2019-09)

[EN] Background and objective Prostate cancer is one of the most common male tumors. The increasing use of whole slide digital scanners has led to an enormous interest in the application of machine learning techniques to ...
A novel self-learning framework for bladder cancer grading using histopathological images

García-Pardo, José Gabriel; Esteve, Anna; Colomer, Adrián; Ramos, David; Naranjo Ornedo, Valeriana (Elsevier, 2021-11)

[EN] In recent times, bladder cancer has increased significantly in terms of incidence and mortality. Currently, two subtypes are known based on tumour growth: non-muscle invasive (NMIBC) and muscle-invasive bladder cancer ...
A Self-Training Framework for Glaucoma Grading In OCT B-Scans

García-Pardo, José Gabriel; Colomer, Adrián; Verdú-Monedero, Rafael; Dolz, Jose; Naranjo Ornedo, Valeriana (IEEE, 2021-08-27)

[EN] In this paper, we present a self-training-based framework for glaucoma grading using OCT B-scans under the presence of domain shift. Particularly, the proposed two-step learning methodology resorts to pseudo-labels ...
A Software For Surgical And Radiotherapy Planning Through Multimodal Brain Image Registration And Fusion

Naranjo Ornedo, Valeriana; Morales, Sandra; Legaz-Aparicio, A.; Larrey-Ruiz, J.; Bernabeu, A.; Fuentes-Hurtado, F. (Springer Verlag (Germany), 2015-06)
A system for modeling social traits in realistic faces with artificial intelligence

Fuentes Hurtado, Félix José (Universitat Politècnica de València, 2018-05-14)

Los seres humanos han desarrollado especialmente su capacidad perceptiva para procesar caras y extraer información de las características faciales. Usando nuestra capacidad conductual para percibir rostros, hacemos ...
A TV-based image processing framework for blind color deconvolution and classification of histological images

Pérez-Bueno, Fernando; López-Pérez, Miguel; Vega, Miguel; Mateos, Javier; Naranjo Ornedo, Valeriana; Molina, Rafael; Katsaggelos, Aggelos K. (Elsevier, 2020-06)

[EN] In digital histopathological image analysis, two conflicting objectives are often pursued: closeness to the original tissue and high classification performance. The former objective tries to recover images (stains) ...
A Virtual Chromoendoscopy Artificial Intelligence system to detect endoscopic and histologic activity/remission and predict clinical outcomes in Ulcerative Colitis

Iacucci, Marietta; Cannatelli, Rosanna; Parigi, Tommaso L.; Nardone, Olga M.; Tontini, Gian Eugenio; Labarile, Nunzia; Buda, Andrea; Rimondi, Alessandro; Bazarova, Alina; Bisschops, Raf; del Amor, Rocío; Meseguer Esbrí, Pablo; Naranjo Ornedo, Valeriana; Ghosh, Subrata; Grisan, Enrico (Georg Thieme Verlag KG, 2023)

[EN] Background Endoscopic and histological remission (ER, HR) are therapeutic targets in ulcerative colitis (UC). Virtual chromoendoscopy (VCE) improves endoscopic assessment and the prediction of histology; however, ...
Advanced techniques in medical image segmentation of the liver

López Mir, Fernando (Universitat Politècnica de València, 2016-01-07)

[EN] Image segmentation is, along with multimodal and monomodal registration, the operation with the greatest applicability in medical image processing. There are many operations and filters, as much as applications and ...
Advancing Content-Based Histopathological Image Retrieval Pre-Processing: A Comparative Analysis of the Effects of Color Normalization Techniques

Tabatabaei, Zahra; Pérez Bueno, Fernando; Colomer, Adrián; Oliver Moll, Javier; Molina, Rafael; Naranjo Ornedo, Valeriana (MDPI AG, 2024-03)

[EN] Content-Based Histopathological Image Retrieval (CBHIR) is a search technique based on the visual content and histopathological features of whole-slide images (WSIs). CBHIR tools assist pathologists to obtain a faster ...
An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images

del Amor, Rocío; Launet, Laetitia; Colomer, Adrián; Moscardó, Anaïs; Mosquera-Zamudio, Andrés; Monteagudo, Carlos; Naranjo Ornedo, Valeriana (Elsevier, 2021-11)

[EN] Melanoma is an aggressive neoplasm responsible for the majority of deaths from skin cancer. Specifically, spitzoid melanocytic tumors are one of the most challenging melanocytic lesions due to their ambiguous morphological ...
Analisis de un sistema de biomarcadores en un dispositivo polimérico imprimido en 3D

Güell Lombart, Alberto (Universitat Politècnica de València, 2020-04-24)

[ES] Un dispositivo 3D polimérico funcional se produce en un proceso de impresión de un solo paso utilizando una impresora 3D basada en estereolitografía. La formulación fotocurable se desarrolla para introducir una cantidad ...
Análisis de imagen endoscópica de vejiga para la predicción de reapariciones tumorales

Giménez Colás, Sonia (Universitat Politècnica de València, 2013-03-13)

[ES] La presencia de tumor vesical está asociada a un proceso de neo-angiogénesis en áreas de la vejiga que son visibles macroscópicamente durante la cistoscopia, y cuyo análisis debe posibilitar su cuantificación morfométrica ...
Análisis de imágenes de resonancia magnética cerebrales para la detección de tumores

San Andrés Marco, Marta María (Universitat Politècnica de València, 2016-07-12)

[ES] En este TFG se ha llevado a cabo un algoritmo en MATLAB® cuya finalidad es la segmentación semiautomática de tumores cerebrales en imágenes de Resonancia Magnética. Es decir, un algoritmo que sea capaz de diferenciar ...
Análisis de la actividad ocular y la dilatación pupilar durante el reconocimiento de expresiones faciales en una muestra de sujetos sanos y con ictus

Maza Pino, Anny Michelle (Universitat Politècnica de València, 2018-10-08)

[ES] Los seres humanos poseemos una capacidad innata de detectar y analizar información facial. A nivel evolutivo, esta capacidad ha permitido, por una parte, identificar unívocamente a congéneres y, por otra parte, detectar ...
Análisis de la actividad ocular y la dilatación pupilar durante estimulación emocional en una muestra de sujetos sanos

Profili, Alessandro (Universitat Politècnica de València, 2022-09-08)

[ES] El reconocimiento de emociones es un campo de investigación de gran interés para áreas como la sanidad y la psicología. En las últimas décadas se han desarrollado muchos modelos y algoritmos de reconocimiento de ...