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Francesco Renna
Francesco Renna received the Laurea Specialistica degree in telecommunication engineering and the Ph.D. degree in information engineering, both from the University of Padova, Padova, Italy, in 2006 and 2011, respectively. Between 2007 and 2019, he held Visiting Researcher and Postdoctoral appointments with Infineon Technology AG, Princeton University, Georgia Institute of Technology (Lorraine Campus), Supelec, University of Porto, Duke University, University College London, and University of Cambridge. From 2019 to 2022, he has been an Assistant Researcher at Instituto de Telecomunicações, Porto. Since 2023, he has been an Assistant Professor at the University of Porto, Portugal. Since 2022, he is a researcher with INESC TEC.
?His research interests include high-dimensional information processing and biomedical signal and image processing. Dr. Renna was the recipient of a Marie Sklodowska-Curie Individual Fellowship from the European Commission and a Research Contract within the Scientific Employment Stimulus program from the Portuguese Foundation for Science and Technology.
Publications
Explainable Multimodal Deep Learning for Heart Sounds and Electrocardiogram Classification
Oliveira, B;Lobo, A;Botelho Costa, CIA;Carvalho, RF;Coimbra, MT;Renna, F;
2024
46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024, Orlando, FL, USA, July 15-19, 2024
Deep learning assessment of cultural ecosystem services from social media images
Cardoso, AS;Renna, F;Moreno-Llorca, R;Alcaraz-Segura, D;Tabik, S;Ladle, RJ;Vaz, AS;
2021
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy
Antonelli, G;Libanio, D;De Groof, AJ;van der Sommen, F;Mascagni, P;Sinonquel, P;Abdelrahim, M;Ahmad, O;Berzin, T;Bhandari, P;Bretthauer, M;Coimbra, M;Dekker, E;Ebigbo, A;Eelbode, T;Frazzoni, L;Gross, SA;Ishihara, R;Kaminski, MF;Messmann, H;Mori, Y;Padoy, N;Parasa, S;Pilonis, ND;Renna, F;Repici, A;Simsek, C;Spadaccini, M;Bisschops, R;Bergman, JJGHM;Hassan, C;Ribeiro, MD;
2025
GUT
Diffusion Model for Generating Synthetic Contrast Enhanced CT from Non-Enhanced Heart Axial CT Images
Ferreira V.R.S.;de Paiva A.C.;Silva A.C.;de Almeida J.D.S.;Junior G.B.;Renna F.;
2024
International Conference on Enterprise Information Systems, ICEIS - Proceedings
Supervised Theses
Medical images analysis using Deep Learning - A skin cancer screening system
José Querubim Rocha Reisinho
M - 2019
UP-FCUP
Deep learning algorithms for anatomical gastric landmark detection
Miguel Lopes Martins
D - 2021
UP-FCUP
