Lidia Talavera-Martínez

According to our database, Lidia Talavera-Martínez authored at least 10 papers between 2018 and 2023.

Collaborative distances:

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

2023

Automated dermatoscopic pattern discovery by clustering neural network output for human-computer interaction.

Lidia Talavera-Martínez, Philipp Tschandl

CoRR, 2023

Model Regularisation for Skin Lesion Symmetry Classification: SymDerm v2.0.

Lidia Talavera-Martínez, Pedro Bibiloni, Aniza Giacaman, Rosa Taberner, Luis Javier Del Pozo Hernando, Manuel González Hidalgo

Proceedings of the Computer Analysis of Images and Patterns, 2023

2022

A novel approach for skin lesion symmetry classification with a deep learning model.

Lidia Talavera-Martínez, Pedro Bibiloni, Aniza Giacaman, Rosa Taberner, Luis Javier Del Pozo Hernando, Manuel González Hidalgo

Comput. Biol. Medicine, 2022

2021

Hair Segmentation and Removal in Dermoscopic Images Using Deep Learning.

Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González Hidalgo

IEEE Access, 2021

How Do Different Tasks Influence Each Other's Learning? Case Study In Dermoscopic Images.

Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González Hidalgo

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Multitasking Learning Framework for Dermoscopic Image Analysis.

Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González Hidalgo

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2020

An Encoder-Decoder CNN for Hair Removal in Dermoscopic Images.

Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González Hidalgo

CoRR, 2020

Automatic Detection of Symmetry in Dermoscopic Images Based on Shape and Texture.

Vincent Toureau, Pedro Bibiloni, Lidia Talavera-Martínez, Manuel González Hidalgo

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019

Computational texture features of dermoscopic images and their link to the descriptive terminology: A survey.

Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González Hidalgo

Comput. Methods Programs Biomed., 2019

2018

Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases.

Rick van Veen, Lidia Talavera-Martínez, Rosalie V. Kogan, Sanne K. Meles, Deborah Mudali, Jos B. T. M. Roerdink, Federico Massa, M. Grazzini, Jose A. Obeso, Maria C. Rodriguez-Oroz, Klaus Leonard Leenders, Remco J. Renken, J. J. G. de Vries, Michael Biehl

Proceedings of the Applications of Intelligent Systems, 2018