Ayman El-Baz

Associate Professor, Bioengineering; Acting Dept. Chair


Ayman El-Baz, Ph.D., Associate Professor in the Department of Bioengineering at the University of Louisville, KY. Dr. El-Baz has twelve years of hands-on experience in the fields of bioimaging modeling and computer-assisted diagnostic systems. He has developed new techniques for analyzing 3D medical images. His work has been reported at several prestigious international conferences (e.g., CVPR, ICCV, MICCAI, etc.) and in journals (e.g., IEEE TIP, IEEE TBME, IEEE TITB, Brain, etc.). His work related to novel image analysis techniques for lung cancer and autism diagnosis have earned him multiple awards, including: first place at the annual Research Louisville 2002, 2005, 2006, 2007, 2008, 2010, 2011 and 2012 meetings, and the "Best Paper Award in Medical Image Processing" from the prestigious ICGST International Conference on Graphics, Vision and Image Processing (GVIP-2005). Dr. El-Baz has authored or coauthored more than 300technical articles.

On February 1, 2016, Dr. El-Baz became the acting chair of Bioengineering.

Research Experience

The BioImaging Laboratory (Director: Dr. El-Baz) was established in August 2006 at the University of Louisville and is committed to excellence in research and teaching. The primary focal point of the BioImaging Lab is to develop and implement innovative and ground-breaking techniques for use in image-guided surgeries, and the creation of non-invasive image-based diagnostic systems, which can help to revolutionize the early diagnosis of numerous diseases and brain disorders. The work of the BioImaging lab has achieved worldwide recognition and is helping to pave the way for upcoming cutting-edge medical systems. The current research projects in the BioImaging lab include:

  1. Development of a new image-based technology for the early diagnosis of lung cancer (this technology has been licensed by PulmoCAD, Inc, St. Louis, MO)
  2. Development of techniques for the early diagnosis of Autism, based on using magnetic resonance images to analysis various brain structures (several companies show their interest to license this technology such as Siemens Medical Solution, Malvern, PA, and PulmoCAD, Inc, St. Louis, MO)
  3. Development of a new technology for the early detection of Acute renal rejection, based on using dynamic magnetic resonance images
  4. Development of a new technology for the early diagnosis of prostate cancer using non-invasive diffusion magnetic resonance images
  5. Development of image based systems for the early detection of heart failure using tagged, cine, and late contrast magnetic resonance images