Rostam Niakan Kalhori, Sharareh
Associate Professor, Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran; Research Fellow at Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig–Institute of Technology and Hannover Medical School, Braunschweig, Germany
[ 1 ] - Classification of Chest Radiology Images in Order to Identify Patients with COVID-19 Using Deep Learning Techniques
Background and Aim: Due to the important role of radiological images for identifying patients with COVID-19, creating a model based on deep learning methods was the main objective of this study. Materials and Methods: 15,153 available chest images of normal, COVID-19, and pneumonia individuals which were in the Kaggle data repository was used as dataset of this research. Data preprocessing inc...
[ 2 ] - Determining the progression stages of liver fibrosis in patients with chronic hepatitis B
Introduction: Chronic hepatitis B (CHB) leads to liver fibrosis, its failure, and death in the long term. The stage of fibrosis in CHB patients can also be detected based on the biochemical markers. The aim of this study was to predict the state of liver fibrosis in CHB patients and determine the possibility of patients shifting from a given state to another one. Materials and Methods: This stu...
نویسندگان همکار