J
Jaime C. Fonseca
Researcher at University of Minho
Publications - 106
Citations - 1320
Jaime C. Fonseca is an academic researcher from University of Minho. The author has contributed to research in topics: Computer science & Pectus excavatum. The author has an hindex of 16, co-authored 95 publications receiving 1042 citations.
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Journal ArticleDOI
Geographic distribution of hepatitis C virus genotypes in Brazil
S. Campiotto,João Renato Rebello Pinho,Flair José Carrilho,L. C. da Silva,Francisco José Dutra Souto,V. Spinelli,Leila Maria Moreira Beltrão Pereira,Henrique Sérgio Moraes Coelho,Antonia Oliveira Silva,Jaime C. Fonseca,Heitor Rosa,Celina Maria Costa Lacet,Antonio Plinio Bernardini +12 more
TL;DR: The present data indicate the need for careful epidemiological surveys throughout Brazil since knowing the frequency and distribution of the genotypes would provide key information for understanding the spread of HCV.
Journal ArticleDOI
Accuracy Comparison of Implant Impression Techniques: A Systematic Review.
António H. J. Moreira,Nuno Rodrigues,Nuno Rodrigues,António C. M. Pinho,Jaime C. Fonseca,João L. Vilaça,João L. Vilaça +6 more
TL;DR: A systematic review of peer-reviewed literature found the most accurate impression technique and factors affecting the impression accuracy was achieved with two configurations: the optical intraoral system with powder and the open technique with splinted squared transfer copings, using polyether as impression material.
Journal ArticleDOI
Adhesive nanostructured multilayer films using a bacterial exopolysaccharide for biomedical applications.
Rui R. Costa,Ana I. Neto,Ilker Calgeris,Clara R. Correia,António C. M. Pinho,Jaime C. Fonseca,Ebru Toksoy Oner,João F. Mano +7 more
TL;DR: N nanostructured coatings consisting of chitosan and the adhesive bacterial exopolysaccharide levan are fabricated using layer-by-layer assembly to establish levan derivatives as bioinspired ingredients for conceiving medical adhesive devices that allow achieving enhanced mechanical and biological performance.
Journal ArticleDOI
Kidney segmentation in ultrasound, magnetic resonance and computed tomography images: A systematic review.
TL;DR: A systematic review of the different methodologies developed for kidney segmentation found three approaches based on distinct image processing classes that can be used to accurately segment the kidney in images of different imaging modalities.
Journal ArticleDOI
Collecting system percutaneous access using real-time tracking sensors: first pig model in vivo experience
Pedro Rodrigues,Pedro Rodrigues,João L. Vilaça,João L. Vilaça,Carlos Oliveira,Antonio Cicione,Jens Rassweiler,Jaime C. Fonseca,Nuno Rodrigues,Nuno Rodrigues,Jorge Correia-Pinto,Estevão Lima +11 more
TL;DR: The proposed electromagnetic tracking solution for renal collecting system puncture proved to be highly accurate, simple and quick and might represent a paradigm shift in percutaneous kidney access techniques.