Michael Abràmoff, MD, PhD

Specialty: Ophthalmic Imaging Research

Associate Professor of Ophthalmology

Campus Address

11180-Q PFP
(319) 356-1951

Education

• MD, University of Amsterdam, Netherlands
• MS, Biomedical Computer Science, University of Amsterdam
• PhD, Imaging, University of Utrecht, Utrecht, Netherlands

Post Graduate Education

• Resident (Ophthalmology), University Hospital of Utrecht, Utrecht, Netherlands
• Fellowship (Retina), Vrije Universiteit University Hospital, Amsterdam, Netherlands

Certification

• USMLE
• Iowa Board of Medical Examiners
• Netherlands Ophthalmologic Society

Professional Affiliations

• Member, Macula Society, 2007-
• Member, Biomedical Engineering Committee, IASTED (International Association of Science and Technology for Development), 2006-
• Editor, Head and Face Journal, 2004-
• American Telemedicine Association
• Committee on Medical Information Technology of the American Academy of Ophthalmology, 2004-
• European Society of Ophthalmic and Plastic Reconstructive Surgery, 2002-
• Digital Imaging and Communications in Medicine, working group 9 (ophthalmology), 2000-
• American Academy of Ophthalmology, 1998-
• Institute of Electrical and Electronics Engineers, 1997-
• Association for Research in Vision and Ophthalmology, 1996-
• Nederlands Oogheelkundig Gezelschap (Dutch Board of Ophthalmology), 1995-

Research Interest

• Massive, large-scale detection and diagnosis of retinal disease and glaucoma

 

Current Projects

• Computer aided diagnosis of retinal disease and glaucoma
• Fundus appearance phenotype-genotype associations
• Image Analysis of photos, SLO, OCT
• Large scale retinal imaging for early diagnosis
• Functional imaging of the retina
• Clinical effectiveness of retinal imaging

Related Web sites

WebScreen

 

EyeCheck - online diagnosis of diabetic retinopathy

Bio-medical Imaging in Java Central

DRIVE: Digital Retinal Images for Vessel Extraction - The performance of most exisiting retinal vessel detection algorithms, and a standardized set of 40 color images:  

NEW: The challenge for the best microaneurysm detection algorithm, and a standardized set of 100 color images