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ORCIDLidia Talavera-Martínez
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2020 – today
- 2024
[c6]Antonio Nadal-Martínez, Lidia Talavera-Martínez, Marc Munar, Manuel González Hidalgo:
Convolutional neural network architectures and aggregation information models for pulmonary X-ray segmentation. CBMS 2024: 350-357- 2023
- [c5]Lidia Talavera-Martínez
, Pedro Bibiloni, Aniza Giacaman, Rosa Taberner, Luis Javier Del Pozo Hernando, Manuel González Hidalgo:
Model Regularisation for Skin Lesion Symmetry Classification: SymDerm v2.0. CAIP (1) 2023: 99-109 - [i2]Lidia Talavera-Martínez, Philipp Tschandl:
Automated dermatoscopic pattern discovery by clustering neural network output for human-computer interaction. CoRR abs/2309.08533 (2023) - 2022
- [j3]Lidia Talavera-Martínez, Pedro Bibiloni, Aniza Giacaman, Rosa Taberner, Luis Javier Del Pozo Hernando, Manuel González Hidalgo:
A novel approach for skin lesion symmetry classification with a deep learning model. Comput. Biol. Medicine 145: 105450 (2022) - 2021
- [j2]Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González Hidalgo:
Hair Segmentation and Removal in Dermoscopic Images Using Deep Learning. IEEE Access 9: 2694-2704 (2021) - [c4]Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González Hidalgo:
A Multitasking Learning Framework for Dermoscopic Image Analysis. CIARP 2021: 34-44 - [c3]Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González Hidalgo:
How Do Different Tasks Influence Each Other's Learning? Case Study In Dermoscopic Images. ISBI 2021: 1755-1759 - 2020
- [c2]Vincent Toureau, Pedro Bibiloni, Lidia Talavera-Martínez, Manuel González Hidalgo:
Automatic Detection of Symmetry in Dermoscopic Images Based on Shape and Texture. IPMU (1) 2020: 625-636 - [i1]Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González Hidalgo:
An Encoder-Decoder CNN for Hair Removal in Dermoscopic Images. CoRR abs/2010.05013 (2020)
2010 – 2019
- 2019
- [j1]Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González Hidalgo:
Computational texture features of dermoscopic images and their link to the descriptive terminology: A survey. Comput. Methods Programs Biomed. 182 (2019) - 2018
- [c1]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:
Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases. APPIS 2018: 280-289
Coauthor Index
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