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Stephen G Odaibo

from Houston, TX
Age ~45
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Related to:
Robert C Wiese, 73James M Odaibo, 42Laura D Lopez, 44Mosekagule E Odaibo, 47Yolanda B Wiese, 74Lisa M Odaibo, 39Amanda R Wiese, 42Lisa M Odaibo, 39Heather Odaibo, 37
Connected to:
Jacqueline Odain, 48Soares Odair, 42Abigail H Odam, 81Lilah J Odam, 42Charity K Odama, 46Robert M Odama, 54Maxwell M Odame, 65Prince Odame, 49Benjamin A Odamtten, 47Esther B Odamtten, 63

Stephen Odaibo Phones & Addresses

  • Houston, TX
  • Arlington, VA
  • Chapel Hill, NC
  • 325 Bridgefield Pl, Durham, NC 27705 (919) 383-6017
  • Birmingham, AL
  • Asbury, IA
  • Ann Arbor, MI

Work

Company: Md anderson cancer center Jun 2019 Position: Faculty member

Education

School / High School: Duke University 2006

Skills

Leadership • Research • Strategic Planning • Public Speaking • Retina Lasers • Advanced Mathematics • Scientific Computing • Retinal Disease Diagnosis and Management • Physics • Computer Science • Ophthalmology • Healthcare Management • Medicine • Public Health • Internal Medicine • Science • Healthcare • Physicians • Clinical Research • Medical Education • Working With Physicians • Advanced Physics • Machine Learning • Deep Learning • Artificial Intelligence • Python • Medical Imaging

Languages

English

Ranks

Certificate: Board-Certified, Ophthalmology

Industries

Hospital & Health Care

Specialities

Ophthalmology

Professional Records

License Records

Stephen G. Odaibo

License #:
MTL001011 - Expired
Category:
MEDICINE
Issued Date:
Sep 27, 2012
Expiration Date:
Jul 31, 2014
Type:
MEDICAL TRAINING LICENSE I(A)

Medicine Doctors

Stephen Odaibo Photo 1

Stephen G Odaibo, Washington DC

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Specialties:
Ophthalmology
Age:
44
Address:
2041 Georgia Ave Nw Suite 2100, Washington, DC 20060
(202) 865-4259 (Phone), (202) 865-4256 (Fax)

Duke University, Durham, NC 27710
(919) 684-8111 (Phone)
Languages:
English
Education:
Medical School
Duke University
Graduated: 2006

Resumes

Resumes

Stephen Odaibo Photo 2

Faculty Member

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Location:
801 15Th St, Arlington, VA 22202
Industry:
Hospital & Health Care
Work:
Md Anderson Cancer Center
Faculty Member
Ai Expo Africa
Advisory Board Member
Data Science Nigeria
Advisory Board Member
Retina-Ai
Chief Software Architect
Medical Associates Clinic & Health Plans Sep 2015 - Jan 2018
Retina Specialist
Education:
University of Michigan 2014 - 2015
Howard University 2011 - 2014
Duke University Hospital 2010 - 2011
Doctor of Medicine, Doctorates, Medicine Duke University School of Medicine 2002 - 2010
Doctor of Medicine, Doctorates, Medicine Duke University Graduate School 2006 - 2009
Masters, Computer Science University of Alabama at Birmingham 2000 - 2002
Masters, Mathematics University of Alabama at Birmingham 1998 - 2001
Bachelors, Mathematics Fgc Ilorin, Nigeria (Secondary School) 1991 - 1997
Skills:
Leadership
Research
Strategic Planning
Public Speaking
Retina Lasers
Advanced Mathematics
Scientific Computing
Retinal Disease Diagnosis and Management
Physics
Computer Science
Ophthalmology
Healthcare Management
Medicine
Public Health
Internal Medicine
Science
Healthcare
Physicians
Clinical Research
Medical Education
Working With Physicians
Advanced Physics
Machine Learning
Deep Learning
Artificial Intelligence
Python
Medical Imaging
Languages:
English
Yoruba
Certifications:
Board-Certified, Ophthalmology
Fellowship In Medical Retina, Uveitis, and Ocular Oncology
American Board of Ophthalmology

Business Records

Name / Title
Company / Classification
Phones & Addresses
Stephen Odaibo
Chief Executive Officer
Quantum Lucid Research Laboratories LLC
Commercial Physical Research, Nsk
801 15 St S, Arlington, VA 22202
PO Box 2173, Arlington, VA 22202
402 Kellogg St, Ann Arbor, MI 48105

Publications

Us Patents

Systems And Methods Using Weighted-Ensemble Supervised-Learning For Automatic Detection Of Retinal Disease From Tomograms

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US Patent:
20190043193, Feb 7, 2019
Filed:
Aug 1, 2017
Appl. No.:
15/666455
Inventors:
David Gbodi Odaibo - Birmingham AL, US
Stephen Gbejule Odaibo - Asbury IA, US
Assignee:
RETINA-AI LLC - Asbury IA
International Classification:
G06T 7/00
G06N 3/08
G06N 3/04
G06K 9/00
Abstract:
Disclosed herein are systems, methods, and devices for classifying retinal tomograms according to disease type, state, and stage. The disclosed invention details systems, methods, and devices to perform the aforementioned classification based on weighted-linkage of an ensemble of machine learning models. In some parts, each model is trained on a training data set and tested on a test dataset. In other parts, the models are ranked based on classification performance, and model weights are assigned based on model rank. To classify a tomogram, that tomogram is presented to each model of the ensemble for classification, yielding a probabilistic classification score—of each model. Using the model weights, a weighted-average of the individual model-generated probabilistic scores is computed and used for the classification.
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Stephen G Odaibo from Houston, TX, age ~45 Get Report