Publications by authors named "M Amin Mosleh-Shirazi"

Article Synopsis
  • The study assessed the effectiveness of deep-learning-based auto-contouring in delineating clinical target volumes (CTV) and organs at risk (OARs) for prostate cancer radiotherapy, comparing it to traditional manual methods.
  • It involved analyzing 28 planning CT volumes with three contour types: original, auto-segmented, and expert-defined, examining dosimetric characteristics through various metrics like dose-volume histograms and homogeneity indices.
  • Results showed automated contours had smaller geometric differences from manual contours than variations between different experts, and the automated process also significantly reduced contouring time while maintaining comparable dosimetric accuracy.
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Objective: There has been conflicting evidence in earlier research on the association between parental age and autism risk. To clarify this association, we conducted a comprehensive meta-analysis of observational studies. The primary objective of this study was to determine the association between parents' age and the risk of autism in the offspring.

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Introduction: No study has yet investigated the minimum amount of data required for deep learning-based liver contouring. Therefore, this study aimed to investigate the feasibility of automated liver contouring using limited data.

Methods: Radiotherapy planning Computed tomography (CT) images were subjected to various preprocessing methods, such as denoising and windowing.

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Background: Hypothyroidism is one of the most common endocrine diseases. It is, however, usually challenging for physicians to diagnose due to nonspecific symptoms. The usual procedure for diagnosis of Hypothyroidism is a blood test.

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Cervical cancer is the fourth leading cause of cancer deaths in women globally. Combining gene therapy with chemo- and radiotherapy may improve cervical cancer treatment outcomes. This study evaluated the effects of Annexin A5(ANXA5) overexpression alongside 5-fluorouracil (5-FU) and irradiation on the viability of CaSki cervical squamous cell carcinoma (SCC) cells.

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