Artificial Intelligence in Medical Imaging, 1st ed. 2019 Opportunities, Applications and Risks
Coordonnateurs : Ranschaert Erik R., Morozov Sergey, Algra Paul R.
Dr Erik R. Ranschaert, MD, PhD, is currently radiologist at the ETZ Hospital in Tilburg, the Netherlands, and vice-president of the European Society of Medical Imaging Informatics (EuSoMII). Dr. Ranschaert was trained in radiology at KU Leuven University Hospital in Belgium and graduated in 1994. On July 14th 2016 he was awarded a PhD in Medical Sciences at the University of Antwerp, with a thesis titled: “The Impact of Information Technology on Radiology Services”. He is certified as Imaging Informatics Professional by the ABII in 2017. He was chairman of the ECR Computer Applications Subcommittee in 2008 and member of the ESR eHealth and informatics subcommittee in 2014 - 2016. He is the first author or co-author of more than 20 peer-reviewed articles and he gave more than 40 lectures on invitation, most topics related to his thesis and imaging informatics.
Sergey Morozov, MD, MPH, PhD is Professor of Radiology and CEO of Radiology Research and Practice Center in Moscow, Russia. Dr. Morozov was trained in clinical imaging at Sechenov Moscow Medical University and clinical effectiveness at Harvard School of Public Health in 2002-2006. He became Chief of Radiology at the Central Clinical Hospital in Moscow in 2007-2012 and then at the European Medical Center in 2013-2015. He is Executive Director of Russian Society of Radiology, President of European Society of Medical Imaging Informatics, past chairman of Imaging Informatics subcommittee of ECR, member of ECR 2019 Program planning committee, RSNA Education Exhibits Awards Committee. He is certified as Imaging Informatics Professional by ABII in 2017. Prof. Dr. Morozov is a renowned expert in clinical imaging, healthcare management and informatics and is the co-author of more than 100 journal articles and 15 book chapters.
Dr Paul Algra MD PhD, Northwest Hospital Group, Alkmaar, The Netherlands, is trained as radiologist in Leiden Uni
Date de parution : 02-2019
Ouvrage de 373 p.
17.8x25.4 cm
Thèmes d’Artificial Intelligence in Medical Imaging :
Mots-clés :
Artificial Intelligence in Medical Imaging; Deep Learning in Medical Imaging; Machine Learning in Medical Imaging; Techniques for AI in Medical Imaging; Big Data in Radiology; Artificial Intelligence in Radiology; Medical Imaging Informatics; Imaging Biomarkers; Medical Imaging Computing; Data Mining in Radiology; Image Biobanks