| 2024 | MICCAI | Anatomically-Guided Inpainting for Local Synthesis of Normal Chest Radiographs. | Joo Pedrosa, Sofia Cardoso Pereira, Joana Silva, Ana Maria Mendona, Aurlio Campilho |
| 2023 | CBMS | Semi-supervised Multi-structure Segmentation in Chest X-Ray Imaging. | Ricardo Coimbra Brioso, Joo Pedrosa, Ana Maria Mendona, Aurlio Campilho |
| 2023 | CBMS | Lesion-Aware Chest Radiography Abnormality Classification with Object Detection Framework. | Joo Pedrosa, Pedro Sousa, Joana Silva, Ana Maria Mendona, Aurlio Campilho |
| 2023 | CIARP | Leveraging Longitudinal Data for Cardiomegaly and Change Detection in Chest Radiography. | Raquel Belo, Joana Rocha, Joo Pedrosa |
| 2023 | IBPRIA | Automatic Eye-Tracking-Assisted Chest Radiography Pathology Screening. | Rui Santos, Joo Pedrosa, Ana Maria Mendona, Aurlio Campilho |
| 2022 | CBMS | Attention-driven Spatial Transformer Network for Abnormality Detection in Chest X-Ray Images. | Joana Rocha, Sofia Cardoso Pereira, Joo Pedrosa, Aurlio Campilho, Ana Maria Mendona |
| 2022 | IBPRIA | Lesion-Based Chest Radiography Image Retrieval for Explainability in Pathology Detection. | Joo Pedrosa, Pedro Sousa, Joana Silva, Ana Maria Mendona, Aurlio Campilho |
| 2021 | ISVC | Multimodal Multi-tasking for Skin Lesion Classification Using Deep Neural Networks. | Rafaela Carvalho, Joo Pedrosa, Tudor Nedelcu |
| 2021 | MICCAI | Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces. | Helena Williams, Joo Pedrosa, Laura Cattani, Susanne Housmans, Tom Vercauteren, Jan Deprest, Jan D'hooge |