Publications by authors named "J A Pedrosa"
Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).
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- * The study focused on 16 slaughtered bulls and found that 81.2% tested positive for leptospirosis, with 75% showing genital infections.
- * The infection was linked to Leptospira interrogans of the Sejroe serogroup, revealing that bulls play a significant role in harboring and potentially spreading this reproductive disease in cattle.
Article Synopsis
- The study discusses a new method for creating ultraporous titanium dioxide thin films using plasma deposition and etching, which can be done at room or mild temperatures.
- These films have over 85% porosity, maintain their structure even after high-temperature annealing, and exhibit unique properties like being antireflective and superhydrophilic under UV light.
- The resulting porous films can be used as electrodes in perovskite solar cells and have potential applications in various fields such as energy storage, photonics, and controlled wetting due to their scalable and solvent-free synthesis process.
Cellulose nanofibrils (CNFs) are particles with a high aspect ratio. Typically, chemically pre-treated CNFs (containing anionic or cationic charged groups) consist of long fibrils (up to 2 μm) with very low thickness (less than 10 nm). Derived from their high aspect ratio, CNFs form strong hydrogels with high elasticity at low concentrations.
View Article and Find Full Text PDFBEAS-Net: a Shape-Prior-Based Deep Convolutional Neural Network for Robust Left Ventricular Segmentation in 2D Echocardiography.
IEEE Trans Ultrason Ferroelectr Freq Control
June 2024
Left ventricle (LV) segmentation of 2D echocardiography images is an essential step in the analysis of cardiac morphology and function and - more generally - diagnosis of cardiovascular diseases. Several deep learning (DL) algorithms have recently been proposed for the automatic segmentation of the LV, showing significant performance improvement over the traditional segmentation algorithms. However, unlike the traditional methods, prior information about the segmentation problem, e.
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