26 documents found, page 1 of 3
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, JoãoMagnetic 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, JoãoObective - 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,...
Impacto Económico da Área Ardida nos Municípios Portugueses no Período de 2015 ...
Carvalho, Catarina; Peres, Cândido; Fonseca, JaimeAbstractPurpose: In Portugal, the most accentuated natural risk occurs at the level of fires, mainly rural, making the correct planning of forest areas essential. The present work proposes to focus on a sample of 30 affected municipalities, draw conclusions regarding the performance of the latter in combating, preventing, and recovering territories, through the analysis of municipal budgets and respective expen...
Path generation, control, and monitoring
Faria, Carlos; Martins, Daniela A.L.; Matos, Marina A.; Pinho, Diana; Ramos, Bruna; Bicho, Estela; Costa, Lino; Espirito Santo, Isabel; Fonseca, JaimeA critical issue in additive manufacturing (AM) is the control of the printer actuators such that the deposition of material (or a few different materials) takes place in an organized way. Typically, the actuators are connected with a low-level controller that can receive computer numerical control (CNC) instruction. A 3D printer controller is, usually, expected to receive a set of CNC instructions in a format ...
Assessment of electromagnetic tracking systems in a surgical environment using ...
Fonseca, João; Veloso, Fernando; Queirós, Sandro; Morais, Pedro; Pinho, António; Fonseca, Jaime; Pinto, Jorge; Lima, Estevão; Vilaça, JoãoPurpose: Electromagnetic tracking systems (EMTSs) have been proposed to assist the percutaneous renal access (PRA) during minimally invasive interventions to the renal system. However, the influence of other surgical instruments widely used during PRA (like ureteroscopy and ultrasound equipment) in the EMTS performance is not completely known. This work performs this assessment for two EMTSs (Aurora® Planar Fie...
Top-Down Human Pose Estimation with Depth Images and Domain Adaptation
Rodrigues, Nélson; Torres, Helena; Oliveira, Bruno; Borges, João; Queirós, Sandro; Mendes, José; Fonseca, Jaime; Coelho, Victor; Brito, Jsé HenriqueIn this paper, a method for estimation of human pose is proposed, making use of ToF (Time of Flight) cameras. For this, a YOLO based object detection method was used, to develop a top-down method. In the first stage, a network was developed to detect people in the image. In the second stage, a network was developed to estimate the joints of each person, using the image result from the first stage. We show that ...
Real-Time Human Body Pose Estimation for In-Car Depth Images
Torres, Helena R.; Olivreira, Bruno; Fonseca, Jaime; Queirós, Sandro; Rodrigues, Nélson; Coelho, Victor; Pallauf, Johannes; Brito, José HenriqueOver the next years, the number of autonomous vehicles is expected to increase. This new paradigm will change the role of the driver inside the car, and so, for safety purposes, the continuous monitoring of the driver/passengers becomes essential. This monitoring can be achieved by detecting the human body pose inside the car to understand the driver/passenger’s activity. In this paper, a method to accurately d...
Kidney segmentation in ultrasound, magnetic resonance and computed tomography i...
Torres, Helena; Queirós, Sandro; Morais, Pedro; Oliveira, Bruno; Fonseca, Jaime; Vilaça, JoãoBackground and objective: Segmentation is an essential step in computer-aided diagnosis and treatment planning of kidney diseases. In recent years, several researchers proposed multiple techniques to segment the kidney in medical images from distinct imaging acquisition systems, namely ultrasound, magnetic resonance, and computed tomography. This article aims to present a systematic review of the different meth...
Validation of a Novel Software Tool for Automatic Aortic Annular Sizing in Thre...
Queirós, Sandro; Morais, Pedro; Dubois, Christophe; Voigt, Jens-Uwe; Fehske, Wolfgang; Kuhn, Andreas; Achenbach, Tobias; Fonseca, Jaime; Vilaça, JoãoBackground: Accurate aortic annulus (AoA) sizing is crucial for transcatheter aortic valve implantation planning. Three-dimensional (3D) transesophageal echocardiography (TEE) is a viable alternative to the standard multidetector row computed tomography (MDCT) for such assessment, with few automatic software solutions available. The aim of this study was to present and evaluate a novel software tool for automat...
MITT: Medical Image Tracking Toolbox
Queirós, Sandro; Morais, Pedro; Barbosa, Daniel; Fonseca, Jaime; Vilaça, João; D'hooge, JanOver the years, medical image tracking has gained considerable attention from both medical and research communities due to its widespread utility in a multitude of clinical applications, from functional assessment during diagnosis and therapy planning to structure tracking or image fusion during image-guided interventions. Despite the ever-increasing number of image tracking methods available, most still consis...