Sofia Zahia
Sofia Zahia
PhD. Artificial Intelligence Engineer at imito AG
Verified email at
Cited by
Cited by
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
Breast cancer histopathology image classification using an ensemble of deep learning models
Z Hameed, S Zahia, B Garcia-Zapirain, J Javier Aguirre, A María Vanegas
Sensors 20 (16), 4373, 2020
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
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
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
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
A proposed methodology for subjective evaluation of video and text summarization
B Garcia-Zapirain, C Castillo, A Badiola, S Zahia, A Mendez, D Langlois, ...
International Conference on Multimedia and Network Information System, 396-404, 2018
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
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
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
Imparting 3D representations to artificial intelligence for a full assessment of pressure injuries.
S Zahia
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, ...
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