Search

Jayaram K Udupa

age ~71

from Philadelphia, PA

Also known as:
  • Jayaram Udupa
  • Depa E Jayaram
635 Dupont St #K, Philadelphia, PA 19128

Jayaram Udupa Phones & Addresses

  • 635 Dupont St #K, Philadelphia, PA 19128
  • 4024 Redwing Ln, Audubon, PA 19403 • 6106304871 • 6106301691 • 6106316450
  • 801 Evans Rd, Springfield, PA 19064
  • 810 Evans Rd, Springfield, PA 19064
  • Magnolia, TX
  • 4024 Redwing Ln, Eagleville, PA 19403 • 6107615252

Work

  • Position:
    Financial Professional

Education

  • Degree:
    Associate degree or higher

Awards

Fellow IEEE, Fellow American Institue of Medical and Biological Engineering, about 20 poster, paper, and software awards, 21 research grant awards as Principal Investigator, 260 invited lectures delivered worldwide. Over 160 peer reviewed journal publications, over 170 full conference paper publications, 2 books.

Interests

Image Processig, Computer Vision, Visual...

Emails

Industries

Higher Education

Us Patents

  • Segmentation Method Using An Oriented Active Shape Model

    view source
  • US Patent:
    8050473, Nov 1, 2011
  • Filed:
    Feb 13, 2008
  • Appl. No.:
    12/030443
  • Inventors:
    Jayaram K. Udupa - Audubon PA,
    Jaimin Liu - Rockville MD,
  • Assignee:
    The Trustees Of The University Of Pennsylvania - Philadelphia PA
  • International Classification:
    G06K 9/00
    G06K 9/34
    G06K 9/32
    G01N 23/00
  • US Classification:
    382128, 382131, 382173, 382294, 378 20
  • Abstract:
    An improved method of segmenting medical images includes aspects of live wire and active shape models to determine the most likely segmentation given a shape distribution that satisfies boundary location constrains on an item of interest. The method includes a supervised learning portion to train and learn new types of shape instances and a segmentation portion to use the learned model to segment new target images containing instances of the shape. The segmentation portion includes an automated search for an appropriate shape and deformation of the shape to establish a best oriented boundary for the object of interest on a medical image.
  • Image Slice Segmentation Using Midpoints Of Contour Anchor Points

    view source
  • US Patent:
    8270696, Sep 18, 2012
  • Filed:
    Feb 8, 2008
  • Appl. No.:
    12/028332
  • Inventors:
    Jayaram K. Udupa - Audubon PA,
    Andre Souza - Webster NY,
    George Grevera - Collegeville PA,
    Dewey Odhner - Horsham PA,
  • Assignee:
    The Trustees Of The University Of Pennsylvania - Philadelphia PA
  • International Classification:
    G06K 9/00
    G06K 9/34
  • US Classification:
    382131, 382130, 382132, 382173, 382181
  • Abstract:
    Methods for the improved interactive segmentation of medical image slice data using a computer include the novel combination of the well-known live wire and snakes methods. The improved techniques automatically insert new anchor points for each medical image slice that is processed. The improved methods called iterative live wire and live snakes result in a segmentation process that is faster, more accurate, and requires less operator interaction than the previous methods while still allowing an operator to make adjustments to the segmentation as the process moves from one image slice to the next.
  • Extraction Of Fuzzy Object Information In Multidimensional Images For Quantifying Ms Lesions Of The Brain

    view source
  • US Patent:
    5812691, Sep 22, 1998
  • Filed:
    Feb 24, 1995
  • Appl. No.:
    8/394231
  • Inventors:
    Jayaram K. Udupa - Audubon PA
    Supun Samarasekera - Philadelphia PA
  • International Classification:
    G06K 946
  • US Classification:
    382128
  • Abstract:
    A technique for object information extraction from images which retains fuzziness as realistically as possible. The technique is used for image segmentation of fuzzy objects for n-dimensional digital spaces based on the notion of "hanging togetherness" of image elements specified by their fuzzy connectedness. A specified fuzzy object is extracted and all fuzzy objects present in the image data are identified by segmenting the image using the notion of "hanging togetherness" of image elements specified by their fuzzy connectedness as defined herein. The technique is used in a preferred embodiment to quantify MS lesions of the brain via magnetic resonance imaging.

Isbn (Books And Publications)

  • 3D Imaging In Medicine

    view source
  • Author:
    Jayaram K. Udupa
  • ISBN #:
    0849342945

Resumes

Jayaram Udupa Photo 1

Professor, Chief - Medical Imaging Section, Department Of Radiology, University Of Pennsylvania

view source
Location:
Philadelphia, Pennsylvania
Industry:
Higher Education
Interests:
Image Processig, Computer Vision, Visualization, Basic Theories for Image Processing, Medical Imaging, Medical Applications (surgery planning, neuro, orthopedic, vascular, thoracic, spinal, craniofacial, mammographic, etc.), Digital Geometry, Fuzzy Set Theories and Applications, Other: yoga, music (theories,practice, styles, composing), whistle singing, Kannada literature, vegetarian cooking.
Honor & Awards:
Fellow IEEE, Fellow American Institue of Medical and Biological Engineering, about 20 poster, paper, and software awards, 21 research grant awards as Principal Investigator, 260 invited lectures delivered worldwide. Over 160 peer reviewed journal publications, over 170 full conference paper publications, 2 books.
Name / Title
Company / Classification
Phones & Addresses
Jayaram Udupa
Principal
Trustees of The University of Pennsylvania
College/University · Medical Doctor's Office College/University · Medical Laboratory College/University
423 Guardian Dr, Philadelphia, PA 19104
2158988005, 2156622819, 2156626780

Googleplus

Jayaram Udupa Photo 2

Jayaram Udupa


Get Report for Jayaram K Udupa from Philadelphia, PA, age ~71
Control profile