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Listar por autor "Colomer Granero, Adrián"

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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 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 ...
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 ...
Análisis de Señales Fisiológicas. Aplicación a la Neuroeconomía

Colomer Granero, Adrián (Universitat Politècnica de València, 2015-01-21)

El presente trabajo fin de máster tiene como objetivo el análisis de señales fisiológicas registradas en un entorno de laboratorio durante la recreación de diferentes situaciones o experiencias. Para llevar a cabo el trabajo ...
Assessment of sparse-based inpainting for retinal vessel removal

Colomer, Adrián; Naranjo Ornedo, Valeriana; Engan, Kjersti; Skretting, Karl (Elsevier, 2017-11)

[EN] Some important eye diseases, like macular degeneration or diabetic retinopathy, can induce changes visible on the retina, for example as lesions. Segmentation of lesions or extraction of textural features from the ...
Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques

Paya-Bosch, Elena; Bori, Lorena; Colomer, Adrián; Meseguer, Marcos; Naranjo Ornedo, Valeriana (Elsevier, 2022-06-01)

[EN] Embryo morphology is a predictive marker for implantation success and ultimately live births. Viability evaluation and quality grading are commonly used to select the embryo with the highest implantation potential. ...
Automatic evaluation of degree of cleanliness in capsule endoscopy based on a novel CNN architecture

Noorda, Reinier; Nevárez, Andrea; Colomer, Adrián; Pons Beltrán, Vicente; Naranjo Ornedo, Valeriana (Nature Publishing Group, 2020-10-19)

[EN] Capsule endoscopy (CE) is a widely used, minimally invasive alternative to traditional endoscopy that allows visualisation of the entire small intestine. Patient preparation can help to obtain a cleaner intestine and ...
Automatic Segmentation of Epidermis and Hair Follicles in Optical Coherence Tomography Images of Normal Skin by Convolutional Neural Networks

del Amor, Rocío; Morales, Sandra; Colomer, Adrián; Mogensen, Mette; Jensen, Mikkel; Israelsen, Niels M.; Bang, Ole; Naranjo Ornedo, Valeriana (Frontiers Media, 2020-06-04)

[EN] Optical coherence tomography (OCT) is a well-established bedside imaging modality that allows analysis of skin structures in a non-invasive way. Automated OCT analysis of skin layers is of great relevance to study ...
Circumpapillary OCT-Focused Hybrid Learning for Glaucoma Grading Using Tailored Prototypical Neural Networks

García-Pardo, José Gabriel; del Amor, Rocío; Colomer, Adrián; Verdú-Monedero, Rafael; Morales-Sanchez, Juan; Naranjo Ornedo, Valeriana (Elsevier, 2021-08)

[EN] Glaucoma is one of the leading causes of blindness worldwide and Optical Coherence Tomography (OCT) is the quintessential imaging technique for its detection. Unlike most of the state-of-the-art studies focused on ...
Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images

Pereira, Joana; Colomer, Adrián; Naranjo Ornedo, Valeriana (Springer, 2018-11-09)

Diabetic Retinopathy (DR) is a severe and widely spread eye disease. Exudates are one of the most prevalent signs during the early stage of DR and an early detection of these lesions is vital to prevent the patient’s ...
COMUNICACIÓN POLÍTICA EN TWITTER: ANÁLISIS DE IMAGEN Y TEXTO INCRUSTADO PARA LA IDENTIFICACIÓN AUTOMÁTICA DE LOS PRINCIPALES LÍDERES POLÍTICOS EN ESPAÑA

Martínez Barbero, Xavier (Universitat Politècnica de València, 2019-10-10)

[ES] Los análisis de la comunicación en redes sociales han estado muy centrados en el tratamiento de los textos. Las técnicas de minería de textos han permitido interpretar grandes volúmenes de datos. Sin embargo, estos ...
Constrained multiple instance learning for ulcerative colitis prediction using histological images

del Amor, Rocío; Meseguer, Pablo; Lorenzo Parigi, Tommaso; Villanacci, Vincenzo; Colomer, Adrián; Launet, Laetitia; Bazarova, Alina; Tontini, Gian Eugenio; Bisschops, Raf; De Hertogh, Gert; Ferraz, Jose G.; Götz, Martin; Gui, Xianyong; Hayee, Bu Hussain; Lazarev, Mark; Naranjo Ornedo, Valeriana (Elsevier, 2022-09)

[EN] Background and Objective: Ulcerative colitis (UC) is an inflammatory bowel disease (IBD) affecting the colon and the rectum characterized by a remitting-relapsing course. To detect mucosal inflammation as-sociated ...
Consumer Neuroscience-Based Metrics Predict Recall, Liking and Viewing Rates in Online Advertising

Guixeres Provinciale, Jaime; Bigné-Alcañiz, Enrique; Ausin-Azofra, Jose Manuel; Alcañiz Raya, Mariano Luis; Colomer, Adrián; Fuentes-Hurtado, Félix José; Naranjo Ornedo, Valeriana (Frontiers Media SA, 2017-10-31)

[EN] The purpose of the present study is to investigate whether the effectiveness of a new ad on digital channels (YouTube) can be predicted by using neural networks and neuroscience-based metrics (brain response, heart ...
Conteo de microcapsulas en tejidos mediante técnicas de aprendizaje profundo

Bertol Gómez, Martín (Universitat Politècnica de València, 2022-10-04)

[ES] La idea en la que se enmarca el siguiente trabajo es el control automático de la densidad de microcapsulas insertadas artificialmente en tejidos mediante análisis de imagen microscópica de alta resolución. El objetivo ...
Deep Learning for Skin Melanocytic Tumors in Whole-Slide Images: A Systematic Review

Mosquera-Zamudio, Andrés; Launet, Laetitia; Tabatabaei, Zahra; Parra-Medina, Rafael; Colomer, Adrián; Oliver Moll, Javier; Monteagudo, Carlos; Janssen, Emiel; Naranjo Ornedo, Valeriana (MDPI AG, 2023-01)

[EN] Simple Summary Deep learning (DL) is expanding into the surgical pathology field and shows promising outcomes in diminishing subjective interpretations, especially in dermatopathology. We aim to show the efforts of ...