Manuel García-Dominguez

Orcid: 0000-0002-1910-5035

According to our database1, Manuel García-Dominguez authored at least 15 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Clinical validation of artificial intelligence algorithms for the detection of different central-involved retinal pathologies and glaucoma from non-mydriatic images.
Frontiers Artif. Intell., 2026

2025
LSEAvatar: An Avatar for Spanish Sign Language.
Proceedings of the Projects and System Demonstration session of the 41th Annual International Conference of the Spanish Association for Natural Language Processing 2025 (SEPLN-PD 2025), 2025

2024
Deep style transfer to deal with the domain shift problem on spheroid segmentation.
Neurocomputing, February, 2024

A Dataset on Human-Cobot Collaboration for Action Recognition in Manufacturing Assembly.
Proceedings of the 10th International Conference on Control, 2024

Multi-class and Multi-label Classification of an Assembly Task in Manufacturing.
Proceedings of the Advances in Artificial Intelligence, 2024

2022
Rating the Severity of Diabetic Retinopathy on a Highly Imbalanced Dataset.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

2021
UFOD: An AutoML framework for the construction, comparison, and combination of object detection models.
Pattern Recognit. Lett., 2021

Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation.
CoRR, 2021

MotilityJ: An open-source tool for the classification and segmentation of bacteria on motility images.
Comput. Biol. Medicine, 2021

Prediction of Epiretinal Membrane from Retinal Fundus Images Using Deep Learning.
Proceedings of the Advances in Artificial Intelligence, 2021

2020
FrImCla: A Framework for Image Classification Using Traditional and Transfer Learning Techniques.
IEEE Access, 2020

2019
CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks.
BMC Bioinform., 2019

Jupyter Notebooks for Simplifying Transfer Learning.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

2018
An On-Going Framework for Easily Experimenting with Deep Learning Models for Bioimaging Analysis.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

2017
DetectionEvaluationJ: A Tool to Evaluate Object Detection Algorithms.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017


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