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Dr. Abramoff's Clinical Profile | Academic Profile | Researcher ID
Dr. Abramoff's Profile at NARCIS Netherlands Academic Research Network
M.D. Abràmoff, P.J. Magelhaes, S.J. Ram, Image Processing with ImageJ. Biophotonics International, 11(7):36-42, 2004; over 7500 citations!
Messidor-2 dataset as used in Abramoff et al, Automated analysis of retinal images for detection of referable diabetic retinopathy, JAMA Ophthalmol. 2013;131:351-7, and in Abramoff et al, Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning, IOVS, 2016 [in press].
Keynote address presented by Michael Abramoff at SPIE Medical Imaging 2012, Biomedical Optics & Medical Imaging: "Automated
Detection of Retinal Disease: When Moore's Law Meets Baumol's Cost
Disease: The bright future of image based computer (Aided) diagnosis" (alternative video link: YouTube)
The still hard-to-find ultimate review on retinal image analysis: Abràmoff MD, Garvin M, Sonka M., Retinal Imaging and Image Analysis. IEEE Reviews in Biomedical Engineering 3:169-208, 2010
ROC: Retina Online Challenge – Online competition for the best microaneurysm detection algorithm, with a standardized set of 100 de-identified color images and reference standard. (server problems have disabled some functionality. Datasets may be downloaded from links below.)
DRIVE: Digital Retinal Images for Vessel Extraction – Online comparison retinal vessel detection algorithms, with a standardized set of 40 de-identified fovea centered retinal color images and reference standard
RITE: Retinal Images vessel Tree Extraction – A database that enables comparative studies on segmentation or classification of arteries and veins on retinal images, which is established based on the public available DRIVE database (Digital Retinal Images for Vessel Extraction) (Download RITE datasets)
DERIVA: Digital Extraction from Retinal Images of Veins and Arteries – Automated method for identification and artery-venous classification of vessel trees in retinal vessel networks. Vinayak S. Joshi, Joseph M. Reinhardt, Mona K. Garvin, Michael D. Abramoff. PlosONE, Nov 2013
INSPIRE - Iowa Normative Set for Processing Images of the REtina - online set of 30 pairs of de-identified stereo color images of the optic nerve head, with reference standard, based on 3D OCT (INSPIRE DATASETS)
Iowa Reference Algorithm – Analysis and segmentation of retinal and
optic nerve head SD-OCT images is now freely available to researchers in the form of the Iowa Reference Algorithm that we developed. (IMAGE BELOW: Downloads of the OCT Explorer)
Retinal Image Matching – Online set of retinal images for evaluation of retina registration algorithms, with reference standard.
Subvoxel Accurate Graph Search Using Non-Euclidean Graph Space. PLoS ONE, October, 2014
"He makes a point to enforce
with residents that teaching is his first priority and this shows in how he
operates his clinic. He listens to the residents assessments and pushes them to
generate their own clinical plan. He integrates evidence and experience in his
teaching effortlessly. He is one of the most supportive faculty of the
residents, encouraging them to become involved in research and takes time to
mentor them along their career path."
"We are very lucky to have him
as a faculty."
"Great working with Dr.
Abramoff. I learned a lot from his guidance in clinic. He has a very good
systematic approach to retina that I hope to be able to adopt. I look forward
to working with him again next year."
"It is truly an honor to work with and learn from Dr. Abramoff. I have so enjoyed my time at the VA in the Retina Clinic with him. He provides excellent guidance but also pushes residents to develop our own assessments and plans. He has also been a fabulous instructor for me with lasers."
"He clearly is dedicated to furthering the field of ophthalmology through all aspects of medicine - research, teaching, and clinical care. I look forward to continue working with him.”
"We're lucky to have him teaching residents and helping to care for our patients."
"Fun to work with and very knowledgeable."
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