Brain Activity Quantification for Sport Audiovisual Content Visualization using EEG. - Adrián Colomer; Valery Naranjo; Jaime Guixeres; Juan Carlos Rojas; Javier Coret; Mariano Alcañiz Raya (BIOSIGNALS, 2015)

Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests. - Sandra Morales; Kjersti Engan; Valery Naranjo; Adrián Colomer (ICIP, 2015)

Retinal vessel inpainting using recursive least square dictionary learning algorithm. - Adrián Colomer; Valery Naranjo; Kjersti Engan; Karl Skretting (IPTA, 2015)

Significant point characterization in fundus images. - Sandra Morales; Valery Naranjo; Adrián Colomer; Mariano Alcañiz Raya (IPTA, 2015)

A Comparison of Physiological Signal Analysis Techniques and Classifiers for Automatic Emotional Evaluation of Audiovisual Contents. - Adrián Colomer Granero; Félix Fuentes-Hurtado; Valery Naranjo Ornedo; Jaime Guixeres Provinciale; José M. Ausín; Mariano Alcañiz Raya (Frontiers Comput. Neurosci., 2016)

Colour normalization of fundus images based on geometric transformations applied to their chromatic histogram. - Adrián Colomer; Valery Naranjo; Jesús Angulo (ICIP, 2017)

Assessment of sparse-based inpainting for retinal vessel removal. - Adrián Colomer; Valery Naranjo; Kjersti Engan; Karl Skretting (Signal Process. Image Commun., 2017)

Retinal Disease Screening Through Local Binary Patterns. - Sandra Morales; Kjersti Engan; Valery Naranjo; Adrián Colomer (IEEE J. Biomed. Health Informatics, 2017)

Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes. - Adrián Colomer; Pablo Ruiz 002; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (ICIAR, 2018)

Granulometry-Based Descriptor for Pathological Tissue Discrimination in Histopathological Images. - Ángel E. Esteban; Adrián Colomer; Valery Naranjo; María Á. Sales (ICIP, 2018)

Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models. - Andres Diaz-Pinto; Adrián Colomer; Valery Naranjo; Sandra Morales; Yanwu Xu 001; Alejandro F. Frangi (IDEAL (1), 2018)

Identification of Individual Glandular Regions Using LCWT and Machine Learning Techniques. - José Gabriel García; Adrián Colomer; Valery Naranjo; Francisco Peñaranda; María Á. Sales (IDEAL (1), 2018)

Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images. - Joana Pereira; Adrián Colomer; Valery Naranjo (IDEAL (1), 2018)

Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage. - Cristiana Silva; Adrián Colomer; Valery Naranjo (IDEAL (1), 2018)

Evaluation of fractal dimension effectiveness for damage detection in retinal background. - Adrián Colomer; Valery Naranjo; Thomas Janvier; José Manuel Mossi (J. Comput. Appl. Math., 2018)

Towards Automatic Glaucoma Assessment: An Encoder-decoder CNN for Retinal Layer Segmentation in Rodent OCT images. - Rocío del Amor; Sandra Morales; Adrián Colomer; José Manuel Mossi; David Woldbye; Kristian Klemp; Michael Larsen; Valery Naranjo (EUSIPCO, 2019)

Computer Aid-System to Identify the First Stage of Prostate Cancer Through Deep-Learning Techniques. - José Gabriel García; Adrián Colomer; Fernando López-Mir; José Manuel Mossi; Valery Naranjo (EUSIPCO, 2019)

Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences. - Julio Silva-Rodríguez; Adrián Colomer; Marcos Meseguer; Valery Naranjo (EUSIPCO, 2019)

Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor. - Miguel López-Pérez; Adrián Colomer; María Á. Sales; Rafael Molina 001; Valery Naranjo (IDEAL (1), 2019)

Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images. - Pedro Pons; Reinier Noorda; Andrea Nevárez; Adrián Colomer; Vicente Pons Beltrán; Valery Naranjo (IDEAL (2), 2019)

Automatic Detection of Intestinal Content to Evaluate Visibility in Capsule Endoscopy. - Reinier Noorda; Andrea Nevárez; Adrián Colomer; Valery Naranjo; Vicente Pons Beltrán (ISMICT, 2019)

A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes. - Ángel E. Esteban; Miguel López-Pérez; Adrián Colomer; María Á. Sales; Rafael Molina 001; Valery Naranjo (Comput. Methods Programs Biomed., 2019)

First-Stage Prostate Cancer Identification on Histopathological Images: Hand-Driven versus Automatic Learning. - José Gabriel García; Adrián Colomer; Valery Naranjo (Entropy, 2019)

Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment. - Andres Diaz-Pinto; Adrián Colomer; Valery Naranjo; Sandra Morales; Yanwu Xu 001; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2019)

Glaucoma Detection From Raw Circumpapillary OCT Images Using Fully Convolutional Neural Networks. - Gabriel García 001; Rocío del Amor; Adrián Colomer; Valery Naranjo (ICIP, 2020)

Gleason Grading of Histology Prostate Images Through Semantic Segmentation via Residual U-Net. - Amartya Kalapahar; Julio Silva-Rodríguez; Adrián Colomer; Fernando López-Mir; Valery Naranjo (ICIP, 2020)

Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images. - Gabriel García 001; Adrián Colomer; Valery Naranjo (IDEAL (2), 2020)

Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports. - Néstor Jiménez-Campfens; Adrián Colomer; Javier Núñez; Juan M. Mogollón; Antonio L. Rodríguez; Valery Naranjo (IDEAL (2), 2020)

Prostate Gland Segmentation in Histology Images via Residual and Multi-resolution U-NET. - Julio Silva-Rodríguez; Elena Payá-Bosch; Gabriel García 001; Adrián Colomer; Valery Naranjo (IDEAL (1), 2020)

Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection. - Julio Silva-Rodríguez; Adrián Colomer; María Á. Sales; Rafael Molina 001; Valery Naranjo (Comput. Methods Programs Biomed., 2020)

Glaucoma Detection From Raw Circumapillary OCT Images Using Fully Convolutional Neural Networks. - Gabriel García 001; Rocío del Amor; Adrián Colomer; Valery Naranjo (CoRR, 2020)

Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images. - Adrián Colomer; Jorge Igual; Valery Naranjo (Sensors, 2020)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

A Self-Training Framework for Glaucoma Grading In OCT B-Scans. - Gabriel García 001; Adrián Colomer; Rafael Verdú Monedero; Jose Dolz; Valery Naranjo (EUSIPCO, 2021)

A Deep Embedded Framework for Spitzoid Neoplasm Classification Using DNA Methylation Data. - Rocío del Amor; Adrián Colomer; Carlos Monteagudo; María José Garzón; José Luis García-Giménez; Valery Naranjo (EUSIPCO, 2021)

An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images. - Rocío del Amor; Laëtitia Launet; Adrián Colomer; Anaïs Moscardó; Andrés Mosquera-Zamudio; Carlos Monteagudo; Valery Naranjo (Artif. Intell. Medicine, 2021)

Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks. - Gabriel García 001; Rocío del Amor; Adrián Colomer; Rafael Verdú Monedero; Juan Morales-Sánchez; Valery Naranjo (Artif. Intell. Medicine, 2021)

A novel self-learning framework for bladder cancer grading using histopathological images. - Gabriel García 001; Anna Esteve; Adrián Colomer; David Ramos; Valery Naranjo (Comput. Biol. Medicine, 2021)

WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images. - Julio Silva-Rodríguez; Adrián Colomer; Valery Naranjo (Comput. Medical Imaging Graph., 2021)

Glaucoma Detection from Raw SD-OCT Volumes: A Novel Approach Focused on Spatial Dependencies. - Gabriel García 001; Adrián Colomer; Valery Naranjo (Comput. Methods Programs Biomed., 2021)

Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks. - Sandra Morales; Adrián Colomer; José Manuel Mossi; Rocío del Amor; David Woldbye; Kristian Klemp; Michael Larsen; Valery Naranjo (Comput. Methods Programs Biomed., 2021)

An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI. - Rocío del Amor; Laëtitia Launet; Adrián Colomer; Anaïs Moscardó; Andrés Mosquera-Zamudio; Carlos Monteagudo; Valery Naranjo (CoRR, 2021)

Supervised Domain Adaptation for Automated Semantic Segmentation of the Atrial Cavity. - Marta Saiz-Vivó; Adrián Colomer; Carles Fonfría; Luis Martí-Bonmatí; Valery Naranjo (Entropy, 2021)

Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat. - Basilio Pueo; José J. López; José Manuel Mossi; Adrián Colomer; Jose M. Jimenez-Olmedo (Sensors, 2021)

Self-Learning for Weakly Supervised Gleason Grading of Local Patterns. - Julio Silva-Rodríguez; Adrián Colomer; Jose Dolz; Valery Naranjo (IEEE J. Biomed. Health Informatics, 2021)

A Self-Contrastive Learning Framework for Skin Cancer Detection Using Histological Images. - Rocío del Amor; Adrián Colomer; Sandra Morales; Cristian Pulgarín-Ospina; Liria Terradez; José Aneiros-Fernández; Valery Naranjo (ICIP, 2022)

A Self-Training Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis. - Laëtitia Launet; Adrián Colomer; Andrés Mosquera-Zamudio; Anaïs Moscardó; Carlos Monteagudo; Valery Naranjo (ICIP, 2022)

Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise. - Jesús Cantero; Adrián Colomer; Laëtitia Launet; Alexandre Duchevet; Théo de la Hogue; Jean-Paul Imbert; Valery Naranjo (IDEAL, 2022)

Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis. - Laëtitia Launet; Rocío del Amor; Adrián Colomer; Andrés Mosquera-Zamudio; Anaïs Moscardó; Carlos Monteagudo; Zhiming Zhao; Valery Naranjo (IDEAL, 2022)

Multi-Resolution Framework For Spitzoid Neoplasm Classification Using Histological Data. - Rocío del Amor; Francisco Javier Curieses; Laëtitia Launet; Adrián Colomer; Anaïs Moscardó; Andrés Mosquera-Zamudio; Carlos Monteagudo; Valery Naranjo (IVMSP, 2022)

Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval. - Zahra Tabatabaei; Adrián Colomer; Kjersti Engan; Javier Oliver 004; Valery Naranjo (IVMSP, 2022)

Constrained multiple instance learning for ulcerative colitis prediction using histological images. - Rocío del Amor; Pablo Meseguer; Tommaso Lorenzo Parigi; Vincenzo Villanacci; Adrián Colomer; Laëtitia Launet; Alina Bazarova; Gian Eugenio Tontini; Raf Bisschops; Gert de Hertogh; Jose G. Ferraz; Martin Götz; et al. (Comput. Methods Programs Biomed., 2022)

Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques. - Elena Payá-Bosch; Lorena Bori; Adrián Colomer; Marcos Meseguer; Valery Naranjo (Comput. Methods Programs Biomed., 2022)

A deep embedded refined clustering approach for breast cancer distinction based on DNA methylation. - Rocío del Amor; Adrián Colomer; Carlos Monteagudo; Valery Naranjo (Neural Comput. Appl., 2022)

Attention to Detail: Inter-Resolution Knowledge Distillation. - Rocío del Amor; Julio Silva-Rodríguez; Adrián Colomer; Valery Naranjo (EUSIPCO, 2023)

Towards the On-Demand Whole Slide Image Generation: Prostate Patch Synthesis Through a Conditional Progressive Growing GAN. - Alejandro Golfe; Rocío del Amor; Adrián Colomer; María Á. Sales; Liria Terradez; Valery Naranjo (EUSIPCO, 2023)

Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading. - Zahra Tabatabaei; Adrián Colomer; Kjersti Engan; Javier Oliver 004; Valery Naranjo (EUSIPCO, 2023)

Unsupervised Defect Detection for Infrastructure Inspection. - Natalia P. García-de-la-Puente; Rocío del Amor; Fernando García-Torres; Adrián Colomer; Valery Naranjo (IDEAL, 2023)

Toward More Transparent and Accurate Cancer Diagnosis With an Unsupervised CAE Approach. - Zahra Tabatabaei; Adrián Colomer; Javier Oliver Moll; Valery Naranjo (IEEE Access, 2023)

WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval. - Zahra Tabatabaei; Yuandou Wang; Adrián Colomer; Javier Oliver Moll; Zhiming Zhao; Valery Naranjo (CoRR, 2023)

Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach. - Zahra Tabatabaei; Adrián Colomer; Javier Oliver Moll; Valery Naranjo (CoRR, 2023)

ProGleason-GAN: Conditional progressive growing GAN for prostatic cancer Gleason grade patch synthesis. - Alejandro Golfe; Rocío del Amor; Adrián Colomer; María Á. Sales; Liria Terradez; Valery Naranjo (Comput. Methods Programs Biomed., 2023)

Leveraging Synthetic Samples for Boosting CBIR Performance in Prostate Cancer Diagnosis. - Alejandro Golfe; Adrián Colomer; José Prades; Valery Naranjo (DSA ISC (2), 2024)

Foundation Models for Slide-Level Cancer Subtyping in Digital Pathology. - Pablo Meseguer; Rocío del Amor; Adrián Colomer; Valery Naranjo (DSA ISC (2), 2024)

Optimizing Deep Learning Models for Edge Computing in Histopathology: Bridging the Gap to Clinical Practice. - Cristian Pulgarín-Ospina; Laëtitia Launet; Adrián Colomer; Valery Naranjo (KES, 2024)

Siamese Content-based Search Engine for a More Transparent Skin and Breast Cancer Diagnosis through Histological Imaging. - Zahra Tabatabaei; Adrián Colomer; Javier Oliver Moll; Valery Naranjo (CoRR, 2024)

Choosing only the best voice imitators: Top-K many-to-many voice conversion with StarGAN. - Claudio Fernandez-Martín; Adrián Colomer; Claudio Panariello; Valery Naranjo (Speech Commun., 2024)

BlastDiffusion: A Latent Diffusion Model for Generating Synthetic Embryo Images to Address Data Scarcity in In Vitro Fertilization. - Alejandro Golfe; Natalia P. García-de-la-Puente; Adrián Colomer; Valery Naranjo (MIUA (1), 2025)

HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration. - Cristian Camilo Pulgarín-Ospina; Rocío del Amor; Julio Silva-Rodríguez; Adrián Colomer; Valery Naranjo (Comput. Methods Programs Biomed., 2025)

Enhancing Image Retrieval Performance With Generative Models in Siamese Networks. - Alejandro Golfe; Adrián Colomer; José Prades; Valery Naranjo (IEEE J. Biomed. Health Informatics, 2025)