Research Area / Fields

  1. Magnetic resonance imaging.
  2. Medical image analysis and processing.
  3. Deep-learning.
  4. Computed tomography.
  5. Crohn’s disease.
  6. Fetal imaging.
  7. Cardiac imaging.

Short Bio

Moti Freiman is an Assistant Professor in the Faculty of Biomedical Engineering at the Technion – Israel Institute of Technology, the principal investigator and founder of the Technion Computational MRI Lab (TCML), and a Taub fellow.  Dr. Freiman’s research is on building innovative deep-learning algorithms utilizing deep-neural-networks for acquiring and analyzing MRI data to characterize and quantify the physiological and anatomical factors of many human diseases. Dr. Freiman’s research is consistently centered on improving patient diagnostics and outcomes with the development of applications that have real-world significance in the clinical setting. Dr. Freiman has worked on developing deep-learning algorithms for the assessment of diseases, such as heart disease, coronary artery disease, brain malignancies and tumors, and irritable bowel diseases (Crohn’s and Colitis), and fetal development.

Before joining the Technion faculty, Dr. Freiman was a staff research scientist at Philips Healthcare where he developed advanced computer vision and image processing algorithms that leverage machine learning to improve the capacity of medical imaging devices to provide meaningful information.

His research has continually built upon his prior experience as an Instructor in Radiology at Harvard Medical School where he developed advanced algorithms for quantitative analysis of diffusion-weighted MRI data.

Dr Freiman is the recipient of multiple grants and awards including from the Israel Innovation Authority, US-Israel Binational Science Foundation, National Institute of Health, and the Crohn’s and Colitis Foundation of America. He is the author and co-author of more than 40 journal and full-length conference papers and holds several patents and patent applications.