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Association of LDL-cholesterol with prognosis in patients admitted for acutely ...

Brito, Joana; Rin, João; Duarte, Catarina; Couto Pereira, Sara Cristina; Morais, Pedro; Cunha, Nelson; Ferreira, Diogo; Santos, Rafael; Rigueira, Joana

Introduction and objectives: The association of low-density lipoprotein cholesterol (LDL-C) levels and prognosis in patients with heart failure (HF) remains uncertain. This study aimed to evaluate the prognostic significance of LDL-C in patients admitted for acutely decompensated HF and establish a safety cut-off value in this population. Methods: This retrospective, observational study included 167 consecutive...


Geodiversidade da região de Évora

Pereira, M. Francisco; Gama, Cristina; Figueira, Francisco; Morais, Pedro

No centro histórico da cidade de Évora, são relativamente escassos os afloramentos de rocha bem preservados, o que limita as oportunidades de visitantes e residentes de contactarem diretamente a geodiversidade local. Esta situação torna particularmente relevante a identificação e a valorização de outro tipo de informação geológica acessível na cidade. Assim, o objetivo principal deste guia é inventariar e descr...


Movement patterns of the invasive atlantic blue crab in a northeastern atlantic...

Encarnação, João Pedro da Silva; Morais, Pedro; Abecasis, David; Martínez Ramírez, Lucas; Barra, Melissa; Baptista, Vânia; Carere, Claudio

The movement ecology of invasive species discloses critical information to estimate ecological impacts and inform management policies to control their spread. The Atlantic blue crab Callinectes sapidus Rathbun, 1896, has successfully invaded coastal and estuarine ecosystems in southern Europe, making it urgent to understand fundamental aspects of its ecology in the non-native range. Recent studies identified ke...


Reproduction traits and strategies of two Sardinella species off the Southwest ...

Quiatuhanga, Domingas; Morais, Pedro; Krug, Lilian; Teodosio, Maria

Small pelagic fishes such as Sardinella aurita (Valenciennes, 1847) and Sardinella maderensis (R. T. Lowe, 1838) are key intermediate-level components of the marine food web of the southwestern African coast. Their biomass off Angola has shown significant interannual variability, and information about their reproduction is insufficient in the region for adequate stock management. Thus, we aimed to unveil the re...


Trophic interactions of two sympatric small pelagic fishes off the southern coa...

Quiatuhanga, Domingas; Morais, Pedro; Teodosio, Maria

Numerous small pelagic fish species are of great economic importance and link the lower and upper levels of the marine food web. The round sardinella Sardinella aurita and flat sardinella S. maderensis coexist along their distribution range in the southeastern Atlantic Ocean, where we hypothesise that they compete for similar prey. Thus, this study aimed to compare the trophic ecology of these species off the s...


Infant head and brain segmentation from magnetic resonance images using fusion-...

Torres, Helena; Oliveira, Bruno; Morais, Pedro; Fritze, Anne; Hahn, Gabriele; Rudiger, Mario; Fonseca, Jaime; Vilaça, João

Magnetic resonance (MR) imaging is widely used for assessing infant head and brain development and for diagnosing pathologies. The main goal of this work is the development of a segmentation framework to create patient-specific head and brain anatomical models from MR images for clinical evaluation. The proposed strategy consists of a fusion-based Deep Learning (DL) approach that combines the information of dif...


Deep-DM: Deep-driven deformable model for 3D image segmentation using limited data

Torres, Helena; Oliveira, Bruno; Fritze, Anne; Birdir, Cahit; Rudiger, Mario; Fonseca, Jaime; Morais, Pedro; Vilaça, João

Obective - Medical image segmentation is essential for several clinical tasks, including diagnosis, surgical and treatment planning, and image-guided interventions. Deep Learning (DL) methods have become the state-of-the-art for several image segmentation scenarios. However, a large and well-annotated dataset is required to effectively train a DL model, which is usually difficult to obtain in clinical practice,...


The arrival of a non-indigenous ecosystem engineer to a heavily invaded and flo...

Encarnação, João; Teodosio, Maria; Morais, Pedro

Ecosystem engineering bivalves can shape aquatic ecosystems because their high filtration capacity changes water quality and their shells increase the fractal dimension of benthic ecosystems with consequent abiotic and biotic effects. The Asian date mussel Arcuatula senhousia (W. H. Benson, 1842), native to East Asia between the South China Sea and Siberia, is one such bivalve that, despite its small size, can ...


Innate feeding plasticity and animal prey support invasiveness of aquatic speci...

Encarnação, João Pedro da Silva; Dias, Ester; Engelen, Aschwin; Serrao, Ester A.; Morais, Pedro; Teodosio, Maria

Non-indigenous species often rely on trophic plasticity to adjust to available food sources and even to avoid interspecific competition while overcoming environmental constraints during the establishment phase and, eventually, as they become invasive. The Atlantic blue crab Callinectes sapidus Rathbun, 1896 is expanding quickly in southwestern Europe and northwestern Africa, raising concerns about its impacts. ...


Deep learning networks for breast lesion classification in ultrasound images: a...

Ferreira, Margarida R.; Torres, Helena R.; Oliveira, Bruno; Araújo, Augusto R. V. F. de; Morais, Pedro; Novais, Paulo; Vilaça, João L.

Accurate lesion classification as benign or malignant in breast ultrasound (BUS) images is a critical task that requires experienced radiologists and has many challenges, such as poor image quality, artifacts, and high lesion variability. Thus, automatic lesion classification may aid professionals in breast cancer diagnosis. In this scope, computer-aided diagnosis systems have been proposed to assist in medical...


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