Stacking Approach for Lung Cancer EGFR Mutation Status Prediction from CT Scans. - Alexandra Ventura; Tânia Pereira 001; Francisco Silva 002; Cláudia Freitas; António Cunha; Hélder P. Oliveira (BIBM, 2021)

Ensemble Strategies for EGFR Mutation Status Prediction in Lung Cancer. - Mafalda Malafaia; Tânia Pereira 001; Francisco Silva 002; Joana Morgado; António Cunha; Hélder P. Oliveira (EMBC, 2021)

The Impact of Interstitial Diseases Patterns on Lung CT Segmentation. - Francisco Silva 002; Tânia Pereira 001; Joana Morgado; António Cunha; Hélder P. Oliveira (EMBC, 2021)

EGFR Assessment in Lung Cancer CT Images: Analysis of Local and Holistic Regions of Interest Using Deep Unsupervised Transfer Learning. - Francisco Silva 002; Tânia Pereira 001; 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; et al. (IEEE Access, 2021)

Synthesizing 3D Lung CT scans with Generative Adversarial Networks. - Artur Ferreira 002; Tânia Pereira 001; Francisco Silva 002; Ana T. Vilares; Miguel Correia Da Silva; António Cunha; Hélder P. Oliveira (EMBC, 2022)

A Random Forest-based Classifier for MYCN Status Prediction in Neuroblastoma using CT Images. - Tânia Pereira 001; Francisco Silva 002; Pedro Claro; Diogo Costa Carvalho; Sílvia Costa Dias; Helena Torrão; Hélder P. Oliveira (EMBC, 2022)

On the way for the best imaging features from CT images to predict EGFR Mutation Status in Lung Cancer. - Pedro Silva; Tânia Pereira 001; Marco Teixeira; Francisco Silva 002; Hélder P. Oliveira (EMBC, 2022)

Unsupervised Approach for Malignancy Assessment of Lung Nodules in Computed Tomography Scans Using Radiomic Features. - Marco Teixeira; Tânia Pereira 001; Francisco Silva 002; António Cunha; Hélder P. Oliveira (EMBC, 2022)

Differential Gene Expression Analysis of the Most Relevant Genes for Lung Cancer Prediction and Sub-type Classification. - Bernardo Ramos; Tânia Pereira 001; Francisco Silva 002; José Luís Costa; Hélder P. Oliveira (IbPRIA, 2022)

Robustness Analysis of Deep Learning-Based Lung Cancer Classification Using Explainable Methods. - Mafalda Malafaia; Francisco Silva 002; Inês Neves; Tânia Pereira 001; Hélder P. Oliveira (IEEE Access, 2022)

Multiple instance learning for lung pathophysiological findings detection using CT scans. - Julieta Frade; Tânia Pereira 001; Joana Morgado; Francisco Silva 002; Cláudia Freitas; José Mendes; Eduardo Negrão; Beatriz Flor De Lima; Miguel Correia Da Silva; António J. Madureira; Isabel Ramos; José Luís Costa; et al. (Medical Biol. Eng. Comput., 2022)

The Influence of a Coherent Annotation and Synthetic Addition of Lung Nodules for Lung Segmentation in CT Scans. - Joana Sousa; Tânia Pereira 001; Inês Neves; Francisco Silva 002; Hélder P. Oliveira (Sensors, 2022)

Patch-based CNN Models for Bone Marrow Edema Detection Using MRI. - André Gomes; Tânia Pereira 001; Francisco Silva 002; Pedro Franco; Diogo Costa Carvalho; Sílvia Costa Dias; Hélder P. Oliveira (BIBM, 2023)

A Machine Learning Approach for Predicting Microsatellite Instability using RNA-seq. - Miguel Simões; Tânia Pereira 001; Francisco Silva 002; José Manuel F. Machado; Hélder P. Oliveira (BIBM, 2023)

Single Modality vs. Multimodality: What Works Best for Lung Cancer Screening? - Joana Sousa; Pedro Matos; Francisco Silva 002; Pedro Freitas; Hélder P. Oliveira; Tânia Pereira 001 (Sensors, 2023)

Lung CT image synthesis using GANs. - José Mendes; Tânia Pereira 001; Francisco Silva 002; Julieta Frade; Joana Morgado; Cláudia Freitas; Eduardo Negrão; Beatriz Flor De Lima; Miguel Correia Da Silva; António J. Madureira; Isabel Ramos; José Luís Costa; et al. (Expert Syst. Appl., 2023)

Radiological Medical Imaging Annotation and Visualization Tool. - Inês Teiga; Joana Sousa; Francisco Silva 002; Tânia Pereira 001; Hélder P. Oliveira (HCI (15), 2024)

Causal representation learning through higher-level information extraction. - Francisco Silva 002; Hélder P. Oliveira; Tânia Pereira 001 (ACM Comput. Surv., 2025)