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Housing - Santa Maria de Alcamim, Lisboa. Cohousing - Vila Adentro, Faro

Salema, Sofia; Rocha, João; Freitas, Francisco; Valente, Luís; Oliveira, Bruno; dos Santos, Marlene

O livro resulta da Exposição MAIS DO QUE CASAS realizada no MUDE, Museu do Design, entre 28 de setembro de 2024 e 26 de janeiro de 2025 onde se expôs os trabalhos dos alunos do ensino superior de Arquitetura, de Arquitetura Paisagista e de Belas Artes de Portugal sobre a habitação no âmbito das comemorações dos 50 anos da Revolução de Abril de 1974. Coedição MUDE – Museu do Design e FAUP – Faculdade de Arquitet...


A statistical duality for Random Matching of Agents

Yannacopoulos, Athanasios; Oliveira, Bruno; Ferreira, Miguel; Martins, José; Pinto, Alberto

We propose a statistical duality among the preferences and endowments of the agents. Under this duality, the logarithmic prices of random trades among agents in a decentralized economy converge in expectation to the logarithm of the Walrasian equilibrium price in a centralized economy.


Subtle ecological effects of the invasive signal crayfish (Pacifastacus leniusc...

Oliveira, Bruno; Nogueira, António B.; Teixeira, Amilcar; Sousa, Ronaldo

The introduction of non-native species can disrupt the structure of communities and affect the functioning of freshwater ecosystems, disturbing various taxonomic groups, including fish. This study aimed to assess the ecological effects of the recent introduction of the signal crayfish <jats:italic>Pacifastacus leniusculus</jats:italic> in the fish communities in the Rabaçal and Tuela River basins (Montesinho Na...

Date: 2025   |   Origin: Biblioteca Digital do IPB

General Physicochemical Parameters, Phenolic Composition, and Varietal Aromatic...

Jordão, António; Correia, Ana Cristina; Martins, Bárbara; Oliveira, Bruno

Pico Island is one of the islands of the Azores archipelago located in the North Atlantic Ocean, where there are very specific conditions for vine cultivation. In this context, there is scarce knowledge related to grape ripening under these conditions. Thus, the aim of this study was to evaluate several physicochemical parameters, the phenolic composition, antioxidant capacity, and varietal aromatic potential, ...


Design optimization of medical robotic systems based on task performance metric...

Oliveira, Bruno; Morais, Pedro André Gonçalves; Torres, Helena R.; Fonseca, Jaime C.; Vilaça, João L.

While designing an end-effector tool for a specific task using an already available robotic arm is a common strategy for developing robot-based solutions, it is subject to the designer's subjective biases, especially in the medical robotics field. Consequently, this approach can result in suboptimal solutions that may limit the performance of the robotic arm and the overall system. This work introduces a novel ...


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,...


A digital communication system for occupational safety and health: requirements...

Ferreira, Joana; Barros, Mariana; Constantino, Gonçalo; Cavadas, Rodrigo; Rebelo, José; Oliveira, Bruno; Rodrigues, Matilde

Shifting the communication process in the Occupational Safety and Health (OSH) field to digital can bring advantages to risk management. A digital communication system can help ensure that all workers find it easier to report hazards, accidents, and near misses. Additionally, it can make possible access to several prevention information. Since companies typically lack this type of solution, this work aimed to i...


Dual consistency loss for contour-aware segmentation in medical images

Torres, Helena R.; Oliveira, Bruno; Fonseca, Jaime C.; Morais, Pedro André Gonçalves; Vilaça, João L.

Medical image segmentation is a paramount task for several clinical applications, namely for the diagnosis of pathologies, for treatment planning, and for aiding image-guided surgeries. With the development of deep learning, Convolutional Neural Networks (CNN) have become the state-of-the-art for medical image segmentation. However, issues are still raised concerning the precise object boundary delineation, sin...


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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