Dr. Mustafa Elattar

Assistant Professor


Dr. Mustafa Elattar is an assistant Professor at Nile University. He obtained his bachelor’s degree in systems and Biomedical Engineering. Afterwards, Mustafa joined the Medical Imaging and Image Processing (MIIP) lab at Nile University as a research assistant. In 2010, he obtained his master’s degree in Communication and Information Technology after finishing his thesis “Segmentation of Cardiac MRI Images”. He is interested in medical image analysis, software engineering, and other related topics. He participated in the development of Retinal Image Processing Toolkit with Clinical Networking. he joined Diagnosoft Inc. as a research and development engineer. He implemented various novel techniques and multiple existing algorithms for analyzing and segmenting different cardiac MRI sequences data. In 2012, he started his PhD research at the Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands. He developed segmentation techniques to detect the aortic root landmarks for the purpose of preoperative planning of transcatheter aortic valve implantation. He developed a novel fully automated algorithm to find the optimal incision location for minimally invasive aortic valve replacement surgeries. Mustafa spent six months as a research and development Engineer at 3mensio, the Netherlands, to implement his mini-AVR planning tool idea, which has been validated and supplied to the AMC Cardiothoracic Department at a production level. From July 2016, Mustafa started to work as postdoctoral fellow to conduct research for image guided radiotherapy at the Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, the Netherlands. In August 2017, Mustafa joined Nile University as an assistant professor in the Communication and Information Technology school and started a research group working on multiple research topics e.g. artificial intelligence, deep neural networks, medical image processing, and medical imaging. He also joined Myocardial Solutions as the head of research of deep learning and big data solutions. Mustafa has over 20 publications in journals, conferences, and book chapters.


Research Tracks:

  • Artificial intelligence
  • Deep neural networks
  • Medical image processing
  • Medical imaging
  • Deep learning
  • Big data solutions