Bruno Silva

  • Medical Image Processing
  • Deep Learning

Bruno Silva graduated in 2021 with a M.Sc. degree in Industrial Electronics and Computers Engineering by the University of Minho (UM, Portugal). His M.Sc. thesis was related with the automatic quantification of Pectus Excavatum depression using medical images and artificial intelligence (AI), which led to the publication of one article in a peer-reviewed journal (IEEE Journal of Biomedical and Health Informatics). Recently, in 2021, he joined the PhD programme in Health Sciences at the School of Medicine, University of Minho (Portugal). His work is mainly focused on the development of computer-assisted systems based on medical imaging and AI to help clinicians diagnose and treat diseases.

Bruno Silva

  • Medical Image Processing
  • Deep Learning

Bruno Silva graduated in 2021 with a M.Sc. degree in Industrial Electronics and Computers Engineering by the University of Minho (UM, Portugal). His M.Sc. thesis was related with the automatic quantification of Pectus Excavatum depression using medical images and artificial intelligence (AI), which led to the publication of one article in a peer-reviewed journal (IEEE Journal of Biomedical and Health Informatics). Recently, in 2021, he joined the PhD programme in Health Sciences at the School of Medicine, University of Minho (Portugal). His work is mainly focused on the development of computer-assisted systems based on medical imaging and AI to help clinicians diagnose and treat diseases.

Scientific Highlights

– B. Silva, I. Pessanha, J. Correia-Pinto, J. C. Fonseca, S. Queirós, “Automatic assessment of Pectus Excavatum severity from CT images using deep learning”, IEEE Journal of Biomedical Health Informatics, vol. 26, pp. 324-333, 2022. DOI: 10.1109/JBHI.2021.3090966

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