Publications by authors named "Miguel Joaquim"

Micro- and nanoplastics have become increasingly relevant as contaminants to be monitored due to their potential health effects and environmental impact. Nanoplastics, in particular, have been shown to be difficult to detect in drinking water, requiring new capture technologies. In this work, we applied the acoustofluidic seed particle method to capture nanoplastics in an optimized, tilted grid of silica clusters even at the high flow rate of 5 mL/min.

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Article Synopsis
  • The study aims to enhance the Radially Sampled Diffusion Weighted Spin-Echo (Rad-DW-SE) method to create high-quality Apparent Diffusion Coefficient (ADC) maps.
  • A deep learning model using convolutional neural networks (CNNs) and vision transformers was developed to accurately produce ADC maps from accelerated diffusion-weighted imaging (DWI) data, trained on a dataset of 147 mice.
  • Results indicate that this new deep learning approach outperforms existing methods in generating better quality ADC maps in various anatomical regions, such as tumors and muscles, thereby proving effective for accelerated DWI data analysis.
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