Publications by authors named "Mohammadreza Ghasemian"
Article Synopsis
- * 36 participants aged 60-69 were divided into three groups: a control group doing daily activities, a group using Neurolight for cognitive-motor training, and a group using a computer-based cognitive program.
- * Results indicated that those using Neurolight significantly enhanced their working memory, inhibitory control, and balance, suggesting that combined cognitive and physical exercises are beneficial for the elderly.
Article Synopsis
- - The study explored the use of a deep learning model to predict COVID-19 patient outcomes based on chest CT images, aiming to improve its clinical application through deep privacy-preserving federated learning (DPFL).
- - A total of 3,055 patients from 19 medical centers were analyzed, with the data being divided for training, validation, and testing to evaluate model performance using metrics like accuracy and sensitivity.
- - The results showed that the centralized model achieved an accuracy of 76% and the DPFL model had an accuracy of 75%, with both models demonstrating similar specificity and comparable area under the curve (AUC) values, suggesting no significant statistical differences between the two approaches.
Purpose: Extracting water equivalent diameter (DW), as a good descriptor of patient size, from the CT localizer before the spiral scan not only minimizes truncation errors due to the limited scan field-of-view but also enables prior size-specific dose estimation as well as scan protocol optimization. This study proposed a unified methodology to measure patient size, shape, and attenuation parameters from a 2D anterior-posterior localizer image using deep learning algorithms without the need for labor-intensive vendor-specific calibration procedures.
Methods: 3D CT chest images and 2D localizers were collected for 4005 patients.
Background: We aimed to analyze the prognostic power of CT-based radiomics models using data of 14,339 COVID-19 patients.
Methods: Whole lung segmentations were performed automatically using a deep learning-based model to extract 107 intensity and texture radiomics features. We used four feature selection algorithms and seven classifiers.
Introduction: Intra-abdominal adhesions are typically found after the most surgical procedures. Normally, most adhesions are asymptomatic; however, few individuals experience postoperative adhesion-related problems such as small bowel obstruction, pelvic pain, infertility, or other complications. We aimed to evaluate the preventive effect of the ascites fluid for postoperative peritoneal adhesions in rat models.
View Article and Find Full Text PDFThe present study examined how motor skill acquisition affects electroencephalography patterns and compared short- and long-term electroencephalography variations. For this purpose, 17 volunteers with no history of disease, aged 18 to 22 years, attended seven training sessions every other day to practice a pursuit tracking motor skill. Electroencephalography brainwaves were recorded and analyzed on the first and last days within pre- and post-training intervals.
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