Adrián Inés

According to our database, Adrián Inés authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Semi-supervised Learning Methods for Semantic Segmentation of Polyps.

Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual

Proceedings of the Advances in Artificial Intelligence, 2024

2023

Semi-Supervised Machine Learning: a Homological Approach.

Adrián Inés, César Domínguez, Jónathan Heras, Gadea Mata, Julio Rubio

CoRR, 2023

2022

Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context.

Adrián Inés, Andrés Diaz-Pinto, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual

CoRR, 2022

A Topological Approach for Semi-Supervised Learning.

Adrián Inés, César Domínguez, Jónathan Heras, Gadea Mata, Julio Rubio

CoRR, 2022

Rating the Severity of Diabetic Retinopathy on a Highly Imbalanced Dataset.

Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata

Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

2021

Biomedical image classification made easier thanks to transfer and semi-supervised learning.

Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual

Comput. Methods Programs Biomed., 2021

MotilityJ: An open-source tool for the classification and segmentation of bacteria on motility images.

Ángela Casado-García, Gabriela Chichón, César Domínguez, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, María López, Eloy J. Mata, Vico Pascual, Yolanda Sáenz

Comput. Biol. Medicine, 2021

Prediction of Epiretinal Membrane from Retinal Fundus Images Using Deep Learning.

Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata

Proceedings of the Advances in Artificial Intelligence, 2021

2019

DeepClas4Bio: Connecting bioimaging tools with deep learning frameworks for image classification.

Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual

Comput. Biol. Medicine, 2019

CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks.

Ángela Casado, César Domínguez, Manuel García-Dominguez, Jónathan Heras, Adrián Inés, Eloy J. Mata, Vico Pascual

BMC Bioinform., 2019

DeepCompareJ: Comparing Image Classification Models.

Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

2018

Towards Integrating ImageJ with Deep Biomedical Models.

Adrián Inés, César Domínguez, Jónathan Heras, Eloy J. Mata, Vico Pascual

Proceedings of the Distributed Computing and Artificial Intelligence, 2018

2017

DetectionEvaluationJ: A Tool to Evaluate Object Detection Algorithms.

César Domínguez, Manuel García-Dominguez, Jónathan Heras, Adrián Inés, Eloy J. Mata, Vico Pascual

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017