Fatima A. Saiz

According to our database, Fatima A. Saiz authored at least 7 papers between 2018 and 2024.

Collaborative distances:

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

2024

Latent Diffusion Models to Enhance the Performance of Visual Defect Segmentation Networks in Steel Surface Inspection.

Jon Leiñena, Fatima A. Saiz, Iñigo Barandiaran

Sensors, September, 2024

2022

Photometric Stereo-Based Defect Detection System for Steel Components Manufacturing Using a Deep Segmentation Network.

Fatima A. Saiz, Iñigo Barandiaran, Ander Arbelaiz, Manuel Graña

Sensors, 2022

A Fast Deep Learning Based Approach for Unsupervised Anomaly Detection in 3D Data.

Sergio Presa, Fatima A. Saiz, Iñigo Barandiaran

Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022

2021

An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble Learning.

Fatima A. Saiz, Garazi Alfaro, Iñigo Barandiaran

Inf., 2021

Synthetic Data Set Generation for the Evaluation of Image Acquisition Strategies Applied to Deep Learning Based Industrial Component Inspection Systems.

Fatima A. Saiz, Garazi Alfaro, Iñigo Barandiaran, Sara García, María del Puy Carretero, Manuel Graña

Proceedings of the XXX Spanish Computer Graphics Conference, 2021

2020

COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach.

Fatima A. Saiz, Iñigo Barandiaran

Int. J. Interact. Multim. Artif. Intell., 2020

2018

A Robust and Fast Deep Learning-Based Method for Defect Classification in Steel Surfaces.

Fatima A. Saiz, Ismael Serrano, Iñigo Barandiaran, Jairo R. Sánchez

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018