| Breast cancer histopathology image classification using an ensemble of deep learning models Z Hameed, S Zahia, B Garcia-Zapirain, J Javier Aguirre, A Maria Vanegas Sensors 20 (16), 4373, 2020 | 257 | 2020 |
| Tissue classification and segmentation of pressure injuries using convolutional neural networks S Zahia, D Sierra-Sosa, B Garcia-Zapirain, A Elmaghraby Computer methods and programs in biomedicine 159, 51-58, 2018 | 89 | 2018 |
| Pressure injury image analysis with machine learning techniques: A systematic review on previous and possible future methods S Zahia, MBG Zapirain, X Sevillano, A González, PJ Kim, A Elmaghraby Artificial intelligence in medicine 102, 101742, 2020 | 71 | 2020 |
| Dyslexia detection using 3D convolutional neural networks and functional magnetic resonance imaging S Zahia, B Garcia-Zapirain, I Saralegui, B Fernandez-Ruanova Computer methods and programs in biomedicine 197, 105726, 2020 | 53 | 2020 |
| Integrating 3D model representation for an accurate non-invasive assessment of pressure injuries with deep learning S Zahia, B Garcia-Zapirain, A Elmaghraby Sensors 20 (10), 2933, 2020 | 34 | 2020 |
| Automatic colon polyp classification using convolutional neural network: a case study at basque country A Bour, C Castillo-Olea, B Garcia-Zapirain, S Zahia 2019 IEEE international symposium on signal processing and information …, 2019 | 25 | 2019 |
| Predicting physical exercise adherence in fitness apps using a deep learning approach O Jossa-Bastidas, S Zahia, A Fuente-Vidal, N Sánchez Férez, ... International Journal of Environmental Research and Public Health 18 (20), 10769, 2021 | 23 | 2021 |
| A comparative study between scanning devices for 3D printing of personalized ostomy patches S Zahia, B Garcia-Zapirain, J Anakabe, J Ander, O Jossa Bastidas, ... Sensors 22 (2), 560, 2022 | 15 | 2022 |
| A proposed methodology for subjective evaluation of video and text summarization B Garcia-Zapirain, C Castillo, A Badiola, S Zahia, A Mendez, D Langlois, ... Multimedia and Network Information Systems: Proceedings of the 11th …, 2019 | 6 | 2019 |
| Feature analysis and prediction of complications in ostomy patients based on laboratory analytical data using a machine learning approach OJ Bastidas, B Garcia-Zapirain, AL Totoricagüena, S Zahia, JU Carpio 2021 International Conference BIOMDLORE, 1-8, 2021 | 4 | 2021 |
| Evaluation of a Semi-Automated Wound-Halving Algorithm for Split-Wound Design Studies: A Step towards Enhanced Wound-Healing Assessment PJ Georg, ME Schmid, S Zahia, S Probst, S Cazzaniga, R Hunger, ... Journal of Clinical Medicine 13 (12), 3599, 2024 | | 2024 |
| EP199 INTRA-AND INTERRATER RELIABILITY OF SPLIT-WOUND DESIGN ALGORITHM--AN INNOVATIVE METHOD FOR THE FUTURE OF WOUND STUDIES. P Georg, S Bossart, M Schmid, S Probst, S Zahia Journal of Wound Management 24 (2), 2023 | | 2023 |
| Imparting 3D representations to artificial intelligence for a full assessment of pressure injuries. S Zahia | | 2020 |
| Wound Segmentation with U-Net Using a Dual Attention Mechanism and Transfer Learning R Niri, S Zahia, A Stefanelli, K Sharma, S Probst, S Pichon, G Chanel Available at SSRN 4661641, 0 | | |
| Albu L. OJ Bastidas, R Bikuliciene, YJ Bo, JU Carpio, M Chmura, ... | | |
| Zyta Kuzborska, Liubov Albu JY Bo, HFM Van der Loos, P Piartli, A Rapalis, E Kaniusas, ... | | |
Begoña García-Zapirain Soto (ORCID:...Universidad de DeustoDirección de correo verificada de deusto.es
