Publications by authors named "A I Papadakis"
Food safety is a key priority for public health. However, consumer demand for cheese products may expose the population to the risk of mycotoxicosis and cancer, among others. Acute mycotoxicosis and cancer are examples of linked disorders.
View Article and Find Full Text PDF: Accurate reconstruction of internal temperature fields from surface temperature data is critical for applications such as non-invasive thermal imaging, particularly in scenarios involving small temperature gradients, like those in the human body. : In this study, we employed 3D convolutional neural networks (CNNs) to predict internal temperature fields. The network's performance was evaluated under both ideal and non-ideal conditions, incorporating noise and background temperature variations.
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- Rbm3 is a stress-responsive gene that helps cells adapt and survive under harmful conditions while sharing structural similarities with proteins involved in mRNA processing.
- Knockout of Rbm3 leads to widespread changes in pre-mRNA splicing, a process that can be restored by reintroducing Rbm3 through a cDNA.
- The research suggests that Rbm3 plays a crucial role in selecting splice sites, particularly via its RNA recognition motif (RRM), highlighting a new function in maintaining the integrity of the transcriptome.
Purpose: The aim of this study was to compare the organ doses assessed through a digital phantom-based and a patient specific-based dosimetric tool in adult routine thorax computed tomography (CT) examinations with reference to physical dose measurements performed in anthropomorphic phantoms.
Methods: Two Monte Carlo based dose calculation tools were used to assess organ doses in routine adult thorax CT examinations. These were a digital phantom-based dosimetry tool (NCICT, National Cancer Institute, USA) and a patient-specific individualized dosimetry tool (ImpactMC, CT Imaging GmbH, Germany).
Egocentric activity recognition is a prominent computer vision task that is based on the use of wearable cameras. Since egocentric videos are captured through the perspective of the person wearing the camera, her/his body motions severely complicate the video content, imposing several challenges. In this work we propose a novel approach for domain-generalized egocentric human activity recognition.
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