3 results match your criteria: "Institute for Systems and Computer Engineering Technology and Science (INESC-TEC)[Affiliation]"
Sci Rep
December 2024
Institute for Systems and Computer Engineering Technology and Science (INESC-TEC), Porto, 4200-465, Portugal.
An automatic system for pathology classification in chest X-ray scans needs more than predictive performance, since providing explanations is deemed essential for fostering end-user trust, improving decision-making, and regulatory compliance. CLARE-XR is a novel methodology that, when presented with an X-ray image, identifies the associated pathologies and provides explanations based on the presentation of similar cases. The diagnosis is achieved using a regression model that maps an image into a 2D latent space containing the reference coordinates of all findings.
View Article and Find Full Text PDFMicromachines (Basel)
October 2016
Instituto de Tecnologia Química e Biológica Antonio Xavier, Universidade Nova de Lisboa, Avenida da Republica, 2780-157 Oeiras, Portugal.
This paper describes the development of a novel microfluidic platform for multifactorial analysis integrating four label-free detection methods: electrical impedance, refractometry, optical absorption and fluorescence. We present the rationale for the design and the details of the microfabrication of this multifactorial hybrid microfluidic chip. The structure of the platform consists of a three-dimensionally patterned polydimethylsiloxane top part attached to a bottom SU-8 epoxy-based negative photoresist part, where microelectrodes and optical fibers are incorporated to enable impedance and optical analysis.
View Article and Find Full Text PDFFront Psychol
October 2014
Department of Psychology, Umeå University Umeå, Sweden.
In order to better understand the musical properties which elicit an increased sensation of wanting to move when listening to music-groove-we investigate the effect of adding syncopation to simple piano melodies, under the hypothesis that syncopation is correlated to groove. Across two experiments we examine listeners' experience of groove to synthesized musical stimuli covering a range of syncopation levels and densities of musical events, according to formal rules implemented by a computer algorithm that shifts musical events from strong to weak metrical positions. Results indicate that moderate levels of syncopation lead to significantly higher groove ratings than melodies without any syncopation or with maximum possible syncopation.
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