Sandro Queirós

     Sandro Queirós is a PhD student in Biomedical Engineering at the University of Minho. He is currently working in his PhD thesis in a collaborative project between BESURG, KU Leuven, ICVS/3B’s and the Algoritmi Center. He received the MSc. degree in Biomedical Engineering from the University of Minho and his main research focus is on medical image processing, particularly in image segmentation, and biomedical applications.

Personal Information

Name: Sandro Filipe Monteiro Queirós
E-mail: sandroqueiros at ecsaude.uminho.pt

Education:

2013: MSc. degree in Biomedical Engineering, University of Minho (Portugal).

Projects

  • 2014: Real-time segmentation and tracking of 3D transesophageal echocardiographic images to improve Transcatheter Aortic Valve Implantation (UMinho and KU Leuven).
  • 2014: Towards Smarter Cardiac Interventional Navigation using MRI-derived Personalized Models for RT 3D Ultrasound Interpretation (UMinho);
  • 2013-2014: QUID Box - Quick User Interface Device;
  • 2013-2014: Hand Tracking Glove;
  • 2012-2013: Fast Fully Automatic Myocardial Segmentation in 4D cine Cardiac Magnetic Resonance datasets (UMinho).
  • 2012-2013: ToothAdventure;
  • 2012: Sistema pectus 3D: modelagem/dobragem automática e personalizada de prótese cirúrgica com fixadores acoplados sem radiação, e simulação virtual do resultado cosmético pós-cirúrgico (UMinho).

Awards

  • QUID Box:
    CES 2014 Innovations Awards: Home AV Components Finalist;
    CES 2014 Innovations Design and Engineering Award Honoree;

Selected Papers

  • S. Queirós, D. Barbosa, J. Engvall, T. Ebbers, E. Nagel, S. I. Sarvari, P. Claus, J. C. Fonseca, J. L. Vilaça, and J. D'hooge, "Multi-center validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets," European Heart Journal - Cardiovascular Imaging, 2015 (in press).
  • S. Queirós, J. L. Vilaça, P. Morais, J. C. Fonseca, J. D’hooge, and D. Barbosa, "Fast left ventricle tracking in CMR images using localized anatomical affine optical flow," in SPIE Medical Imaging, 2015, pp. 941306-941306-7.
  • S. Queirós, D. Barbosa, B. Heyde, P. Morais, J. L. Vilaça, D. Friboulet, O. Bernard, and J. D’hooge, "Fast automatic myocardial segmentation in 4D cine CMR datasets," Medical image analysis, vol. 18, pp. 1115-1131, 2014.
  • S. Queirós, D. Barbosa, B. Heyde, P. Morais, D. Fibroulet, P. Claus, O. Bernard and J. D’hooge, “Fast fully automatic segmentation of the myocardium in 2D cine MR images“, in Functional Imaging and Modeling of the Heart (FIMH2013), 2013, pp. 71-79.
  • P. Morais, B. Heyde, D. Barbosa, S. Queirós, P. Claus, and J. D’hooge, “Cardiac motion and deformation estimation from tagged MRI sequences using a temporal coherent image registration framework”, in Functional Imaging and Modeling of the Heart (FIMH2013), 2013, pp. 316-324.