Francisco Silva

According to our database, Francisco Silva authored at least 18 papers between 2021 and 2025.

Collaborative distances:

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

2025

Causal representation learning through higher-level information extraction.

Francisco Silva, Hélder P. Oliveira, Tânia Pereira

ACM Comput. Surv., February, 2025

2024

Radiological Medical Imaging Annotation and Visualization Tool.

Inês Teiga, Joana Sousa, Francisco Silva, Tânia Pereira, Hélder P. Oliveira

Proceedings of the Universal Access in Human-Computer Interaction, 2024

2023

Lung CT image synthesis using GANs.

José Mendes, Tânia Pereira, Francisco Silva, Julieta Frade, Joana Morgado, Cláudia Freitas, Eduardo Negrão, Beatriz Flor De Lima, Miguel Correia Da Silva, António J. Madureira, Isabel Ramos, José Luís Costa, Venceslau Hespanhol, António Cunha, Hélder P. Oliveira

Expert Syst. Appl., April, 2023

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

Joana Sousa, Pedro Matos, Francisco Silva, Pedro Freitas, Hélder P. Oliveira, Tânia Pereira

Sensors, 2023

A Machine Learning Approach for Predicting Microsatellite Instability using RNA-seq.

Miguel Simões, Tânia Pereira, Francisco Silva, José Manuel F. Machado, Hélder P. Oliveira

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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

André Gomes, Tânia Pereira, Francisco Silva, Pedro Franco, Diogo Costa Carvalho, Sílvia Costa Dias, Hélder P. Oliveira

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.

Joana Sousa, Tânia Pereira, Inês Neves, Francisco Silva, Hélder P. Oliveira

Sensors, 2022

Multiple instance learning for lung pathophysiological findings detection using CT scans.

Julieta Frade, Tânia Pereira, Joana Morgado, Francisco Silva, Cláudia Freitas, José Mendes, Eduardo Negrão, Beatriz Flor De Lima, Miguel Correia Da Silva, António J. Madureira, Isabel Ramos, José Luís Costa, Venceslau Hespanhol, António Cunha, Hélder P. Oliveira

Medical Biol. Eng. Comput., 2022

Robustness Analysis of Deep Learning-Based Lung Cancer Classification Using Explainable Methods.

Mafalda Malafaia, Francisco Silva, Inês Neves, Tânia Pereira, Hélder P. Oliveira

IEEE Access, 2022

Differential Gene Expression Analysis of the Most Relevant Genes for Lung Cancer Prediction and Sub-type Classification.

Bernardo Ramos, Tânia Pereira, Francisco Silva, José Luís Costa, Hélder P. Oliveira

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.

Marco Teixeira, Tânia Pereira, Francisco Silva, António Cunha, Hélder P. Oliveira

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.

Pedro Silva, Tânia Pereira, Marco Teixeira, Francisco Silva, Hélder P. Oliveira

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.

Tânia Pereira, Francisco Silva, Pedro Claro, Diogo Costa Carvalho, Sílvia Costa Dias, Helena Torrão, Hélder P. Oliveira

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.

Artur Ferreira, Tânia Pereira, Francisco Silva, Ana T. Vilares, Miguel Correia Da Silva, António Cunha, Hélder P. Oliveira

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.

Francisco Silva, Tânia Pereira, Joana Morgado, Julieta Frade, José Mendes, Cláudia Freitas, Eduardo Negrão, Beatriz Flor De Lima, Miguel Correia Da Silva, António J. Madureira, Isabel Ramos, Venceslau Hespanhol, José Luís Costa, António Cunha, Hélder P. Oliveira

IEEE Access, 2021

The Impact of Interstitial Diseases Patterns on Lung CT Segmentation.

Francisco Silva, Tânia Pereira, Joana Morgado, António Cunha, Hélder P. Oliveira

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.

Mafalda Malafaia, Tânia Pereira, Francisco Silva, Joana Morgado, António Cunha, Hélder P. Oliveira

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.

Alexandra Ventura, Tânia Pereira, Francisco Silva, Cláudia Freitas, António Cunha, Hélder P. Oliveira

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021