INESC TEC
INESC TEC
INESC TEC
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Francesco Renna

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

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

Deep learning-based methods for individual recognition in small birds

Ferreira, AC;Silva, LR;Renna, F;Brandl, HB;Renoult, JP;Farine, DR;Covas, R;Doutrelant, C;

2020

METHODS IN ECOLOGY AND EVOLUTION

Evaluation of automatic pericardial segmentation methods in computed tomography images

Pedrosa, J;Silva, R;Santos, C;Nunes, F;Mancio, J;Renna, F;Fontes Carvalho, R;

2023

European Heart Journal - Cardiovascular Imaging

Construction of an Algorithm for Three-Dimensional Bone Segmentation from Images Obtained by Computational Tomography

Barbosa, M;Renna, F;Dourado, N;Costa, R;

2023

Studies in Computational Intelligence

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