Office: Laboratório de Interfaces Eletrónicas
Keywords: Biomedical Engineering; Cardiac Imaging; Image Segmentation; Medical Image processing.
Daniel Barbosa received the M.Sc. degree in Biomedical Engineering from the University of Minho and a double PhD degree from KU Leuven and INSA Lyon. His main research focus is biomedical signal and image processing and is currently developing automated strategies to quantify cardiac morphology and function from four-dimensional echocardiographic and MRI data. His other research interests include wavelet analysis and computer-aided diagnosis.
2013 : Double PhD degree in Biomedical Sciences and Electrical Engineering, KU Leuven (Belgium) and INSA-Lyon (France)
2009 : MSc. degree in Biomedical Engineering, University of Minho (Portugal)
2014 : Towards Smarter Cardiac Interventional Navigation using MRI-derived Personalized Models for RT 3D Ultrasound Interpretation (UMinho)
2009/2013 : “Automated assessment of cardiac morphology and function: An integrated B-spline framework for real-time segmentation and tracking of the left ventricle”, Medical Imaging Research Center (KU Leuven) and CREATIS (INSA-Lyon)
2008/2009 : “3D Cardiac strain estimation based on non-rigid registration: optimization for in-vivo application”, Medical Imaging Research Center (KU Leuven)
2007/2008 : “Automated detection of tumoral tissue in wireless endoscopy videos”
D. Barbosa, B. Heyde, M. Cikes, T. Dietenbeck, P. Claus, D. Friboulet, O. Bernard, J. D’hooge, “Interactive 3D Real-Time Segmentation of Echocardiographic Data Through User-based Deformation of B-Spline Explicit Active Surfaces”, In Computerized Medical Imaging and Graphics, 2013. [IF2012: 1.664]
D. Barbosa, T. Dietenbeck, B. Heyde, H. Houle, D. Friboulet, J. D’hooge, O. Bernard, “Fast and Fully Automatic 3D Echocardiographic Segmentation Using B-Spline Explicit Active Surfaces: Feasibility Study and Validation in a Clinical Setting”, In Ultrasound in Medicine and Biology, vol. 39, no. 1, pp. 89-101, 2013. [IF2012: 2.455]
D. Barbosa, B. Heyde, T. Dietenbeck, H. Houle, D. Friboulet, O. Bernard, J. D’hooge, “Quantification of Left Ventricular Volume and Global Function using a Fast Automated Segmentation Tool: Validation in a Clinical Setting”, In The International Journal of Cardiovascular Imaging, vol. 29, no. 2, pp. 309-316, 2013. [IF2012: 2.648]
D. Barbosa, T. Dietenbeck, J. Schaerer, J. D’hooge, D. Friboulet, O. Bernard, “B-Spline Explicit Active Surfaces: An efficient framework for real-time 3D region-based segmentation”, In IEEE Transactions on Image Processing, vol. 21, no. 1, pp. 241-251, 2012. [IF2012: 3.199]
D. Barbosa, D. Roupar, J. Ramos, A. Tavares, C. Lima, “Automatic Small Bowel Tumor Diagnosis by Using Multi-scale Wavelet-Based Analysis in Wireless Capsule Endoscopy Images”, In Biomedical Engineering Online, vol. 11, no. 3, pp. 3, 2012. [IF2012: 1.61]