Cervical Cancer Detection and Classification in Cytology Images Using a Hybrid Approach. - Eduardo L. Silva; Ana Filipa Sampaio; Luís F. Teixeira 001; Maria João M. Vasconcelos (ISVC (2), 2021)

Towards the Mobile Detection of Cervical Lesions: A Region-Based Approach for the Analysis of Microscopic Images. - Ana Filipa Sampaio; Luís Rosado; Maria João M. Vasconcelos (IEEE Access, 2021)

AI-powered image acquisition and characterisation of dressings for patient-centred wound management. - Pedro Alves; Ana Filipa Sampaio; Nuno Cardoso; Paulo Alves; Pedro Salgado; Maria João M. Vasconcelos (CBMS, 2023)

Leveraging Deep Neural Networks for Automatic and Standardised Wound Image Acquisition. - Ana Filipa Sampaio; Pedro Alves; Nuno Cardoso; Paulo Alves; Raquel Marques; Pedro Salgado; Maria João M. Vasconcelos (ICT4AWE, 2023)

Designing XAI-based Computer-aided Diagnostic Systems: Operationalising User Research Methods 25-36. - Elsa Oliveira; Cristiana Braga; Ana Sampaio; Tiago Oliveira 004; Filipe Soares; Luís Rosado (IUI Workshops, 2023)

Exploring CNN and Transformer-Based Architectures to Improve Image Segmentation for Chronic Wound Measurement. - Rafaela Carvalho; Ana C. Morgado; Ana Filipa Sampaio; Maria João M. Vasconcelos (AMAI@MICCAI, 2024)

Automating Tissue Segmentation and Quantification for Wound Healing Assessment. - Rafaela Carvalho; Ana Filipa Sampaio; Maria João M. Vasconcelos (CBMS, 2025)

Deep Learning-Driven Pipeline for Automated Wound Measurement of Chronic Wounds. - Ana Filipa Sampaio; Rafaela Carvalho; Maria João M. Vasconcelos (MIUA (2), 2025)

pyMDMA: Multimodal data metrics for auditing real and synthetic datasets. - Ivo S. Façoco; Joana Rebelo; Pedro Matias 002; Nuno Bento; Ana C. Morgado; Ana Sampaio; Luís Rosado; Marília Barandas (SoftwareX, 2025)