Professors and full members Nuno Matela and Ana Margarida Mota, together with PhD student João Mendes, represented IBEB at the 18th International Workshop on Breast Imaging (IWBI), held in Thessaloniki, Greece. During the event, Ana Margarida Mota presented the work:“Deep Learning for Aggressive Breast Cancer Classification Using Breast Tomosynthesis and Read more
A study developed by researchers from the Institute of Biophysics and Biomedical Engineering (IBEB) and faculty members of the Faculty of Sciences of the University of Lisbon was recently highlighted by the international scientific journal Biomedicines on its official communication platforms, including LinkedIn, Facebook, and X. The recognition focused on Read more
Ana Margarida Mota, researcher at IBEB and Assistant Professor at FCUL, has secured advanced computing resources as principal investigator for the project “Experimental Evaluation of GPU-Based Deep Learning Workflows for Mammography and Digital Breast Tomosynthesis Analysis”, selected under the Advanced Computing Projects (6th edition – A0, Round B) Call by Read more
Ana Margarida Mota, Professor at the Faculty of Sciences of the University of Lisbon and researcher at the Institute of Biophysics and Biomedical Engineering (IBEB), has been awarded the Diagnostics Travel Award 2026, granted by the scientific journal Diagnostics (MDPI). The award supports her participation in the 18th International Workshop Read more
PhD student João Mendes, and full members of IBEB Prof. Ana M. Mota and Prof. Nuno Matela have published new research on using AI to differentiate breast lesions with very similar radiological appearance. A key highlight of this work is the implementation of Explainable AI (XAI), ensuring transparency and providing Read more
🎗️ Breast Cancer Awareness Month | Research that Makes a Difference Breast cancer is not the same for every woman – understanding its differences is essential for more effective treatment.Ana Margarida Mota, IBEB’s professor and researcher, has published a review article in Cancers on the use of artificial intelligence in Read more
The paper “Deep learning in breast cancer risk prediction: a review of recent applications in full-field digital mammography”, recently published in Frontiers in Oncology, reviews state-of-the-art techniques for Breast Cancer Risk Prediction using Deep Learning. This work, developed by IBEB’s PhD student João Mendes and undergraduate students Bernardo Oliveira, Carolina Read more
Professors and PhD students from IBEB participated in the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), which took place from July 14–17 in Copenhagen, Denmark. Professor Sofia Fernandes contributed to the organisation of a symposium dedicated the most up-to-date research on magnetic stimulation Read more
In the last few months, the Department of Physics of the Faculdade de Ciências da Universidade de Lisboa and the Instituto de Biofísica e Engenharia Biomédica (IBEB) have been welcoming high school students who came to learn about our educational offerings — namely the Biomedical Engineering and Biophysics degree — Read more
A new paper has just been published in the Journal of Imaging, as part of the Special Issue “Advances in Medical Imaging and Machine Learning.” The study, “Recovering Image Quality in Low-Dose Pediatric Renal Scintigraphy Using Deep Learning,” explores how AI-driven approaches can enhance image quality while reducing radiation exposure Read more