340 citations · 464 across the 4 of their papers we have counts for
4 papers
Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation
Guillermo Iglesias, Gema Bello-Orgaz, María Navas-Loro +3
The scarcity of high-quality annotated medical data, particularly in mental health, poses a significant bottleneck for training robust machine learning models. Privacy regulations…
Artificial Intelligence Model for Tumoral Clinical Decision Support Systems
Guillermo Iglesias, Edgar Talavera, Jesús Troya Garcìa +2
Comparative diagnostic in brain tumor evaluation makes possible to use the available information of a medical center to compare similar cases when a new patient is evaluated. By le…
Data Augmentation techniques in time series domain: A survey and taxonomy
Guillermo Iglesias, Edgar Talavera, Ángel González-Prieto +2
With the latest advances in Deep Learning-based generative models, it has not taken long to take advantage of their remarkable performance in the area of time series. Deep neural n…
A survey on GANs for computer vision: Recent research, analysis and taxonomy
Guillermo Iglesias, Edgar Talavera, Alberto Díaz-Álvarez
In the last few years, there have been several revolutions in the field of deep learning, mainly headlined by the large impact of Generative Adversarial Networks (GANs). GANs not o…