Francisco Silva

Orcid: 0000-0003-3069-2282

Affiliations:
  • 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 20 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Learning object representations through amortized inference over probabilistic programs.
Trans. Mach. Learn. Res., 2026

2025
Causal representation learning through higher-level information extraction.
ACM Comput. Surv., February, 2025

MYCN-Amplified Neuroblastoma Detection Radiomics Vs. Trainable Features.
Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

2024
Radiological Medical Imaging Annotation and Visualization Tool.
Proceedings of the Universal Access in Human-Computer Interaction, 2024

2023
Lung CT image synthesis using GANs.
Expert Syst. Appl., April, 2023

Single Modality vs. Multimodality: What Works Best for Lung Cancer Screening?
Sensors, 2023

A Machine Learning Approach for Predicting Microsatellite Instability using RNA-seq.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Patch-based CNN Models for Bone Marrow Edema Detection Using MRI.
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

Synthesizing 3D Lung CT scans with Generative Adversarial Networks.
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

The Impact of Interstitial Diseases Patterns on Lung CT Segmentation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Ensemble Strategies for EGFR Mutation Status Prediction in Lung Cancer.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Stacking Approach for Lung Cancer EGFR Mutation Status Prediction from CT Scans.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021


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