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Homayoun Bagherinia

from Oakland, CA
Age ~58
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Also known as:
Homayoun A, Homayoun Bagherina
Phone and address:
4255 Howe St, Oakland, CA 94611
Related to:
Maryam Bagherinia, 62
Connected to:
Abraham H Bagherjeiran, 40Akbar Bagheri, 42Ashkan Bagheri, 37Bahram R Bagheri, 66Behnaz S Bagheri, 55Desiree A Bagheri, 35Kaveh K Bagheri, 61Mansour M Bagheri, 80Naghmeh Bagheri, 44Reza R Bagherian, 44

Homayoun Bagherinia Phones & Addresses

  • 4255 Howe St, Oakland, CA 94611
  • Alameda, CA
  • 250 King St, San Francisco, CA 94107
  • 545 Fulton St, Palo Alto, CA 94301
  • Moraga, CA
  • San Ramon, CA
  • Fremont, CA
  • 5924 Broadway, Oakland, CA 94618

Work

Company: Carl zeiss meditec, inc. Jan 2012 Position: Sr. staff scientist - algorithm development

Education

Degree: PhD School / High School: University of California, Santa Cruz 2013 Specialities: Electrical Engineering, Digital Image Processing and Computer Vision Research

Skills

Computer Vision • Scientific Computing • Machine Learning • Image Processing • Algorithms • Medical Imaging • Image Analysis • Signal Processing • Pattern Recognition • Imaging • Matlab • Digital Image Processing • Video Processing • Machine Vision • Statistical Signal Processing • Algorithm Design • C++ • Digital Imaging • Biomedical Engineering

Languages

German • English

Industries

Medical Devices

Resumes

Resumes

Homayoun Bagherinia Photo 1

Principal Scientist

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Location:
6468 Oakwood Dr, Oakland, CA 94611
Industry:
Medical Devices
Work:
Carl Zeiss Meditec, Inc. since Jan 2012
Sr. Staff Scientist - Algorithm Development
Carl Zeiss Meditec, Inc. May 2005 - Dec 2011
Sr. Staff Engineer - Algorithm Development
Applied Imaging 2004 - 2005
Sr. Engineer, Algorithm Development
Education:
University of California, Santa Cruz 2013
PhD, Electrical Engineering, Digital Image Processing and Computer Vision Research University of Applied Sciences, Hannover, Germany
BS, Electrical Engineering, Signal Processing and Communications University of Bremen, Germany
MS, Electrical Engineering, Signal/Image Processing and Communications
Skills:
Computer Vision
Scientific Computing
Machine Learning
Image Processing
Algorithms
Medical Imaging
Image Analysis
Signal Processing
Pattern Recognition
Imaging
Matlab
Digital Image Processing
Video Processing
Machine Vision
Statistical Signal Processing
Algorithm Design
C++
Digital Imaging
Biomedical Engineering
Languages:
German
English

Publications

Us Patents

Method For Finding The Lateral Position Of The Fovea In An Sdoct Image Volume

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US Patent:
8251511, Aug 28, 2012
Filed:
Nov 18, 2011
Appl. No.:
13/299962
Inventors:
Paul F. Stetson - Piedmont CA, US
Homayoun Bagherinia - San Francisco CA, US
Assignee:
Carl Zeiss Meditec, Inc. - Dublin CA
International Classification:
A61B 3/00
A61B 3/10
US Classification:
351246, 351205
Abstract:
Embodiments of the present invention provide methods for finding the lateral position of the fovea in an OCT image volume. In one instance, a cost function is developed whose minimum is located at or near the foveal center. This cost function includes one or more measures of retinal layer thickness and/or measures of distance from blood vessels or a priori locations.

Method For Finding The Lateral Position Of The Fovea In An Sdoct Image Volume

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US Patent:
20090268162, Oct 29, 2009
Filed:
Mar 31, 2009
Appl. No.:
12/415976
Inventors:
Paul F. STETSON - Piedmont CA, US
Homayoun BAGHERINIA - San Francisco CA, US
Assignee:
Carl Zeiss Meditec, Inc. - Dublin CA
International Classification:
A61B 3/14
US Classification:
351246
Abstract:
Embodiments of the present invention provide methods for finding the lateral position of the fovea in an OCT image volume. In one instance, a cost function is developed whose minimum is located at or near the foveal center. This cost function includes one or more measures of retinal layer thickness and/or measures of distance from blood vessels or a priori locations.

Segmentation And Enhanced Visualization Techniques For Full-Range Fourier Domain Optical Coherence Tomography

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US Patent:
20130208240, Aug 15, 2013
Filed:
Feb 7, 2013
Appl. No.:
13/761404
Inventors:
Homayoun BAGHERINIA - Oakland CA, US
Assignee:
Carl Zeiss Meditec, Inc. - Dublin CA
International Classification:
A61B 3/10
G01B 9/02
US Classification:
351206, 356479, 351246
Abstract:
Presented here are new processing techniques for optical coherence tomography (OCT) data that allow for improved visualization and use of full-range OCT images. These techniques minimize the central line artifact and the complex conjugate artifact without requiring additional system hardware or significantly increasing post-processing time. The central line artifact is minimized by normalizing each A-scan to account for ripples at the zero-delay position. The complex conjugate artifact is minimized by segmentation of a layer or layers that cross the zero-delay position, and in some embodiments by further segmentation of other surfaces based on the segmentation of the initial layer or layers. The segmentation information is then used to selectively attenuate the complex conjugate image. It may also be used for other purposes, such as dewarping.

Method For Finding The Lateral Position Of The Fovea In An Sdoct Image Volume

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US Patent:
20130229621, Sep 5, 2013
Filed:
Aug 20, 2012
Appl. No.:
13/590073
Inventors:
Paul F. Stetson - Piedmont CA, US
Homayoun Bagherinia - Oakland CA, US
Assignee:
Carl Zeiss Meditec, Inc. - Dublin CA
International Classification:
A61B 3/14
US Classification:
351206
Abstract:
Embodiments of the present invention provide methods for finding the lateral position of the fovea in an OCT image volume. In one instance, a cost function is developed whose minimum is located at or near the foveal center. This cost function includes one or more measures of retinal layer thickness and/or measures of distance from blood vessels or a priori locations.

Differential Geometric Metrics Characterizing Optical Coherence Tomography Data

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US Patent:
20140029820, Jan 30, 2014
Filed:
Jan 18, 2013
Appl. No.:
13/744911
Inventors:
Homayoun BAGHERINIA - Oakland CA, US
Assignee:
CARL ZEISS MEDITEC, INC. - Dublin CA
International Classification:
A61B 3/10
US Classification:
382131
Abstract:
A method is disclosed for analyzing 3D image data generated from optical coherence tomography (OCT) systems. The first step in the method is to identify one or more surfaces within the 3D data set. The surfaces are then characterized using geometric primitives. Geometric primitives such as concavities, convexities, planar parts, saddles, and crevices can be used. In a preferred embodiment, the primitives are combined. Various pathological conditions of the eye can be evaluated based on any analysis of the primitives.
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Homayoun Bagherinia from Oakland, CA, age ~58 Get Report