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Titlebook: Biomedical Engineering Systems and Technologies; 12th International J Ana Roque,Arkadiusz Tomczyk,Hugo Gamboa Conference proceedings 2020 S

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1865-0929 ces; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatics..978-3-030-46969-6978-3-030-46970-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
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Metodologie Riabilitative in Logopediag patterns (i.e., ecological processes or sets of processes) in ecosystems. We have validated the method by applying it against a set of models and patterns provided by research projects of ecologists.
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Analysis of Discrete Models for Ecosystem Ecologyg patterns (i.e., ecological processes or sets of processes) in ecosystems. We have validated the method by applying it against a set of models and patterns provided by research projects of ecologists.
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https://doi.org/10.1007/978-2-8178-0002-8engineering tools and professional skills. Besides, understanding that biomedical engineering (BME), may constitute a fundamental resource to achieve global health coverage, biomedical engineers trainees should be made aware of their social responsibility and ethical issues should be always consider
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J.-M. Ovieve,B. Chapin-Bouscaratf these computational methods. To handle some of these challenges, this paper presents a fully automated method for segmenting retinal layers in OCT images using a level set method. The method starts by establishing a specific Region of interest (ROI), which aids in handling over- and under-segmenta
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,Anatomia e funzionalità nasale,algorithm, which searched for the codes showing the minimum average calculated for the set conductance of codon groups. The algorithm found three best codes for various ranges of the weights for the mutations. The average weighted-conductance of the studied genetic codes was the most similar to that
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,Il concetto di “simmetria respiratoria”,ng PCHi-C genome-wide interaction networks for 17 types of haematopoietic cells. From this analysis we propose a concrete set . of network topological features (called metrics) that provide good discriminatory power between cell types. The identified features are clearly defined and simple topologic
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