Francisco Silva
Orcid: 0000-0003-3069-2282Affiliations:
- University of Porto, INESC TEC, Institute for Systems and Computer Engineering, Technology and Science, Portugal
- University of Porto, FCUP, Faculty of Science, Portugal
According to our database1,
Francisco Silva
authored at least 17 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the Universal Access in Human-Computer Interaction, 2024
2023
Sensors, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
The Influence of a Coherent Annotation and Synthetic Addition of Lung Nodules for Lung Segmentation in CT Scans.
Sensors, 2022
Multiple instance learning for lung pathophysiological findings detection using CT scans.
Medical Biol. Eng. Comput., 2022
Robustness Analysis of Deep Learning-Based Lung Cancer Classification Using Explainable Methods.
IEEE Access, 2022
Differential Gene Expression Analysis of the Most Relevant Genes for Lung Cancer Prediction and Sub-type Classification.
Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022
Unsupervised Approach for Malignancy Assessment of Lung Nodules in Computed Tomography Scans Using Radiomic Features.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
On the way for the best imaging features from CT images to predict EGFR Mutation Status in Lung Cancer.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Random Forest-based Classifier for MYCN Status Prediction in Neuroblastoma using CT Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
EGFR Assessment in Lung Cancer CT Images: Analysis of Local and Holistic Regions of Interest Using Deep Unsupervised Transfer Learning.
IEEE Access, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021