Publications by authors named "M L Calisto"

In computed tomography (CT) imaging, optimizing the balance between radiation dose and image quality is crucial due to the potentially harmful effects of radiation on patients. Although subjective assessments by radiologists are considered the gold standard in medical imaging, these evaluations can be time-consuming and costly. Thus, objective methods, such as the peak signal-to-noise ratio and structural similarity index measure, are often employed as alternatives.

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Article Synopsis
  • Domain Adaptation (DA) is gaining traction in medical imaging, particularly for image segmentation, but most techniques have been tested on limited datasets, often focusing on single-class challenges.
  • The Cross-Modality Domain Adaptation (crossMoDA) challenge, part of the MICCAI 2021 conference, introduced the first comprehensive benchmark for unsupervised cross-modality DA aimed at segmenting brain structures critical for vestibular schwannoma treatment planning.
  • Using a dataset of 105 annotated contrast-enhanced T1 (ceT) MR scans and non-annotated high-resolution T2 (hrT) scans, the challenge involved 55 teams globally, achieving impressive segmentation accuracy closely resembling fully supervised methods.
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Background: The transmission dynamics of human metapneumovirus (HMPV) in tropical countries remain unclear. Further understanding of the genetic diversity of the virus could aid in HMPV vaccine design and improve our understanding of respiratory virus transmission dynamics in low- and middle-income countries.

Materials & Methods: We examined the evolution of HMPV in Peru through phylogenetic analysis of 61 full genome HMPV sequences collected in three ecologically diverse regions of Peru (Lima, Piura, and Iquitos) during 2008-2012, comprising the largest data set of HMPV whole genomes sequenced from any tropical country to date.

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The management of healthcare professionals exposed to biological material which may potentially be contaminated with HIV HBVand HCV viruses, is of vital importance in acquiring precise epidemiological data regarding the type and means of exposure, and the efficacy or failure to apply recommended preventive measures. This will make it possible to assess over time which measures need to be implemented or improved. For these reasons we decided to analyze cases of occupational exposure to biological risk occurring in the University Hospital in Messina between 1998 and 2002.

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