DR. MICHAEL D ABRAMOFF, MD
Medical Practice at Hawkins Dr, Iowa City, IA

License number
Iowa SP165
Category
Medical Practice
Type
Ophthalmology
Address
Address
200 Hawkins Dr, Iowa City, IA 52242
Phone
(319) 356-3938
(319) 353-7699 (Fax)

Professional information

Michael Abramoff Photo 1

Professor At University Of Iowa

Position:
President at IDx LLC, Professor of Ophthalmology at University of Iowa Hospitals and Clinics, Professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Iowa
Location:
Iowa City, Iowa Area
Industry:
Hospital & Health Care
Work:
IDx LLC - Iowa City, Iowa Area since 2011 - President University of Iowa Hospitals and Clinics since Jul 2007 - Professor of Ophthalmology the University of Iowa since 2004 - Professor of Electrical and Computer Engineering and Biomedical Engineering University of Iowa Hospitals and Clinics Jul 2004 - Jun 2007 - Assistant Professor of Ophthalmology UU 1999 - 2001 - Promovendus
Education:
University of Utrecht 1999 - 2001
PhD, Medical Imaging
Universitair Medisch Centrum Utrecht 1995 - 1999
Residency, Ophthalmology
Universiteit van Amsterdam 1993 - 1994
MD, Medical Doctor
Honor & Awards:
2011 Innovation Award, American Telemedicine Association 2009 Visiting professor, Moran Eye Center, University of Utah 2009 Visiting Professor, Fraunhofer Institute, Germany 2008 Annual Medical Education Award, University of Iowa 2004 P.J. Leinfelder Award, “Functional imaging of the retina,” University of Iowa 2003 Binkhorst Award, “Objective Measurement of Motion in the Orbit,” Highest research merit from the Netherlands Ophthalmologic Society. 2002 3M-Jonkers Award, “Rectus extraocular muscle paths and decompression surgery for Graves orbitopathy: mechanism of motility disturbances,” Best scientific publication over preceding 3 years. Sponsored by 3M-Jonkers Foundation. 1990 Peter Reichertz Memorial Prize, “Simulation of Stuttering with Neural Networks,” best young researcher. Sponsored by European Federation for Medical Informatics (EFMI). 1989 Science and Technology Agency (STA) Postdoctoral Fellowship Award, Sponsored by Ministry of Education, Tokyo, Japan
Languages:
English, Nederlands, Francais, Deutsch, Hebrew
Awards:
Young Investigator Award
Macula Society


Michael Abramoff Photo 2

Optimal Registration Of Multiple Deformed Images Using A Physical Model Of The Imaging Distortion

US Patent:
8194936, Jun 5, 2012
Filed:
Apr 27, 2009
Appl. No.:
12/387071
Inventors:
Michael Abramoff - University Heights IA, US
Meindert Niemeijer - Utrecht, NL
Sangyeol Lee - Fishers IN, US
Joseph Reinhardt - University Heights IA, US
Assignee:
University of Iowa Research Foundation - Iowa City IA
International Classification:
G06K 9/00
US Classification:
382117, 382275, 351211
Abstract:
Methods and systems for image registration implementing a feature-based strategy that uses a retinal vessel network to identify features, uses an affine registration model estimated using feature correspondences, and corrects radial distortion to minimize the overall registration error. Also provided are methods and systems for retinal atlas generation. Further provided are methods and systems for testing registration methods.


Michael D Abramoff Photo 3

Dr. Michael D Abramoff, Iowa City IA - MD (Doctor of Medicine)

Specialties:
Ophthalmology
Address:
200 Hawkins Dr, Iowa City 52242
UNIVERSITY OF IOWA ANETHESIA
200 Hawkins Dr, Iowa City 52242
(319) 356-1749 (Phone), (319) 356-4505 (Fax)
Languages:
English
Hospitals:
200 Hawkins Dr, Iowa City 52242
UNIVERSITY OF IOWA ANETHESIA
200 Hawkins Dr, Iowa City 52242
University of Iowa Hospital and Clinics
200 Hawkins Dr, Iowa City 52242


Michael David Abramoff Photo 4

Michael David Abramoff, Iowa City IA

Specialties:
Ophthalmologist
Address:
200 Hawkins Dr, Iowa City, IA 52242


Michael Abramoff Photo 5

Optimal, User-Friendly, Object Background Separation

US Patent:
2013030, Nov 14, 2013
Filed:
Dec 6, 2011
Appl. No.:
13/992552
Inventors:
Michael Abramoff - Iowa City IA, US
Gwenole Quellec - Brest, FR
Assignee:
UNIVERSITY OF IOWA RESEARCH FOUNDATION - Iowa City IA
International Classification:
G06T 7/00
US Classification:
382128
Abstract:
A method of identifying an object of interest can comprise obtaining first samples of an intensity distribution of one or more object of interest, obtaining second samples of an intensity distribution of confounder objects, transforming the first and second samples into an appropriate first space, performing dimension reduction on the transformed first and second samples, whereby the dimension reduction of the transformed first and second samples generates an object detector, transforming one or more of the digital images into the first space, performing dimension reduction on the transformed digital images, whereby the dimension reduction of the transformed digital images generates one or more reduced images, classifying one or more pixels of the one or more reduced images based on a comparison with the object detector, and identifying one ore more objects of interest from the classified pixels.


Michael Abramoff Photo 6

System And Methods For Image Segmentation In N-Dimensional Space

US Patent:
8358819, Jan 22, 2013
Filed:
Dec 7, 2007
Appl. No.:
12/001066
Inventors:
Xiaodong Wu - Coralville IA, US
Mona Garvin - Iowa City IA, US
Michael David Abramoff - University Heights IA, US
Milan Sonka - Coralville IA, US
Assignee:
University of Iowa Research Foundation - Iowa City IA
International Classification:
G06K 9/00, G06K 9/34, G06K 9/62
US Classification:
382128, 382173, 382224
Abstract:
A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations. The graph search applications use objective functions that incorporate non-uniform cost terms such as “on-surface” costs as well as “in-region” costs.


Michael Abramoff Photo 7

Automated Determination Of Arteriovenous Ratio In Images Of Blood Vessels

US Patent:
2012023, Sep 20, 2012
Filed:
Jan 20, 2012
Appl. No.:
13/355386
Inventors:
Michael D. Abramoff - University Heights IA, US
Melndert Niemeijer - Iowa City IA, US
Xiayu Xu - Iowa City IA, US
Milan Sonka - Coralville IA, US
International Classification:
A61B 3/14
US Classification:
351206, 351246
Abstract:
The methods and systems provided can automatically determine an Arteriolar-to-Venular diameter Ratio, AVR, in blood vessels, such as retinal blood vessels and other blood vessels in vertebrates. The AVR is an important predictor of increases in the risk for stroke, cerebral atrophy, cognitive decline, and myocardial infarct.


Michael Abramoff Photo 8

Automatic Detection Of Red Lesions In Digital Color Fundus Photographs

US Patent:
2006025, Nov 16, 2006
Filed:
Mar 29, 2006
Appl. No.:
11/392268
Inventors:
Michael Abramoff - University Heights IA, US
Bram Ginneken - Utrecht, NL
Meindert Niemeijer - Utrecht, NL
International Classification:
G06K 9/62, G06K 9/00
US Classification:
382224000, 382128000
Abstract:
Disclosed is an automated method which can detect images containing red lesions. First, each image is preprocessed; next, candidate objects that may represent red-lesions are extracted; and in the final stage the probability for each candidate to represent a red-lesion is estimated using a classifier and a large set of specifically designed features.


Michael Abramoff Photo 9

Methods And Systems For Optic Nerve Head Segmentation

US Patent:
2007023, Oct 4, 2007
Filed:
Apr 3, 2007
Appl. No.:
11/695779
Inventors:
Michael D. Abramoff - Iowa City IA, US
Young Kwon - Iowa City IA, US
International Classification:
G06K 9/46
US Classification:
382190
Abstract:
A method of classifying an optic nerve cup and rim of an eye from a retinal image comprising receiving a retinal image, determining a feature vector for a candidate pixel in the retinal image, and classifying the candidate pixel as a cup pixel or a rim pixel based on the feature vector using a trained classifier. The retinal image can be a stereo pair, the retinal image can be color or monochrome. The method disclosed can further comprise identifying an optic nerve, identifying an optic nerve cup and optic nerve rim, and determining a cup-to-disc ratio.


Michael Abramoff Photo 10

Systems And Methods For Generating A Three-Dimensional Shape From Stereo Color Images

US Patent:
2014003, Feb 6, 2014
Filed:
Jan 20, 2012
Appl. No.:
13/980804
Inventors:
Michael Abramoff - University Heights IA, US
Li Tang - Iowa City IA, US
Assignee:
UNIVERSITY OF IOWA RESEARCH FOUNDATION - IOWA CITY IA
International Classification:
G06T 15/00
US Classification:
345419
Abstract:
This disclosure presents systems and methods for determining the three-dimensional shape of an object. A first image and a second image are transformed into scale space. A disparity map is generated from the first and second images at a coarse scale. The first and second images are then transformed into a finer scale, and the former disparity map is upgraded into a next finer scale. The three-dimensional shape of the object is determined from the evolution of disparity maps in scale space.