Adrián Colomer

Orcid: 0000-0002-7616-6029

According to our database1, Adrián Colomer authored at least 65 papers between 2015 and 2024.

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Bibliography

2024
Choosing only the best voice imitators: Top-K many-to-many voice conversion with StarGAN.
Speech Commun., January, 2024

Siamese Content-based Search Engine for a More Transparent Skin and Breast Cancer Diagnosis through Histological Imaging.
CoRR, 2024

2023
ProGleason-GAN: Conditional progressive growing GAN for prostatic cancer Gleason grade patch synthesis.
Comput. Methods Programs Biomed., October, 2023

HistoColAi: An Open-Source Web Platform for Collaborative Digital Histology Image Annotation with AI-Driven Predictive Integration.
CoRR, 2023

Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach.
CoRR, 2023

WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval.
CoRR, 2023

Toward More Transparent and Accurate Cancer Diagnosis With an Unsupervised CAE Approach.
IEEE Access, 2023

Unsupervised Defect Detection for Infrastructure Inspection.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading.
Proceedings of the 31st European Signal Processing Conference, 2023

Towards the On-Demand Whole Slide Image Generation: Prostate Patch Synthesis Through a Conditional Progressive Growing GAN.
Proceedings of the 31st European Signal Processing Conference, 2023

Attention to Detail: Inter-Resolution Knowledge Distillation.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
A deep embedded refined clustering approach for breast cancer distinction based on DNA methylation.
Neural Comput. Appl., 2022

Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques.
Comput. Methods Programs Biomed., 2022

Constrained multiple instance learning for ulcerative colitis prediction using histological images.
Comput. Methods Programs Biomed., 2022

Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Multi-Resolution Framework For Spitzoid Neoplasm Classification Using Histological Data.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

A Self-Training Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Self-Contrastive Learning Framework for Skin Cancer Detection Using Histological Images.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Self-Learning for Weakly Supervised Gleason Grading of Local Patterns.
IEEE J. Biomed. Health Informatics, 2021

Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat.
Sensors, 2021

Supervised Domain Adaptation for Automated Semantic Segmentation of the Atrial Cavity.
Entropy, 2021

An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI.
CoRR, 2021

Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks.
Comput. Methods Programs Biomed., 2021

Glaucoma Detection from Raw SD-OCT Volumes: A Novel Approach Focused on Spatial Dependencies.
Comput. Methods Programs Biomed., 2021

WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images.
Comput. Medical Imaging Graph., 2021

A novel self-learning framework for bladder cancer grading using histopathological images.
Comput. Biol. Medicine, 2021

Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks.
Artif. Intell. Medicine, 2021

An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images.
Artif. Intell. Medicine, 2021

A Deep Embedded Framework for Spitzoid Neoplasm Classification Using DNA Methylation Data.
Proceedings of the 29th European Signal Processing Conference, 2021

A Self-Training Framework for Glaucoma Grading In OCT B-Scans.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 2020

Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images.
Sensors, 2020

Glaucoma Detection From Raw Circumapillary OCT Images Using Fully Convolutional Neural Networks.
CoRR, 2020

Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection.
Comput. Methods Programs Biomed., 2020

Prostate Gland Segmentation in Histology Images via Residual and Multi-resolution U-NET.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Gleason Grading of Histology Prostate Images Through Semantic Segmentation via Residual U-Net.
Proceedings of the IEEE International Conference on Image Processing, 2020

Glaucoma Detection From Raw Circumpapillary OCT Images Using Fully Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment.
IEEE Trans. Medical Imaging, 2019

First-Stage Prostate Cancer Identification on Histopathological Images: Hand-Driven versus Automatic Learning.
Entropy, 2019

A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes.
Comput. Methods Programs Biomed., 2019

Automatic Detection of Intestinal Content to Evaluate Visibility in Capsule Endoscopy.
Proceedings of the 13th International Symposium on Medical Information and Communication Technology, 2019

Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences.
Proceedings of the 27th European Signal Processing Conference, 2019

Computer Aid-System to Identify the First Stage of Prostate Cancer Through Deep-Learning Techniques.
Proceedings of the 27th European Signal Processing Conference, 2019

Towards Automatic Glaucoma Assessment: An Encoder-decoder CNN for Retinal Layer Segmentation in Rodent OCT images.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Evaluation of fractal dimension effectiveness for damage detection in retinal background.
J. Comput. Appl. Math., 2018

Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Identification of Individual Glandular Regions Using LCWT and Machine Learning Techniques.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Granulometry-Based Descriptor for Pathological Tissue Discrimination in Histopathological Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017
Retinal Disease Screening Through Local Binary Patterns.
IEEE J. Biomed. Health Informatics, 2017

Assessment of sparse-based inpainting for retinal vessel removal.
Signal Process. Image Commun., 2017

Colour normalization of fundus images based on geometric transformations applied to their chromatic histogram.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
A Comparison of Physiological Signal Analysis Techniques and Classifiers for Automatic Emotional Evaluation of Audiovisual Contents.
Frontiers Comput. Neurosci., 2016

2015
Significant point characterization in fundus images.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Retinal vessel inpainting using recursive least square dictionary learning algorithm.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Detection of diabetic retinopathy and age-related macular degeneration from fundus images through local binary patterns and random forests.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Brain Activity Quantification for Sport Audiovisual Content Visualization using EEG.
Proceedings of the BIOSIGNALS 2015, 2015


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