Mehul Pravin Sampat

age ~45

from Santa Clara, CA

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Also known as:

Mehul P Sampat
Mehul Sampad

Phone and address:: 680 Catala Ct, Santa Clara, CA 95050

Connected to:

Mehul Sampat Phones & Addresses

680 Catala Ct, Santa Clara, CA 95050
Sunnyvale, CA
Boston, MA
109 39Th St, Austin, TX 78751

Work

Company:

Synarc
Sep 2012
Address:

Newark, CA
Position:

Senior software engineer

Education

School / High School:

The University of Texas at Austin- Austin, TX
Aug 2006
Specialities:

Ph.D. in Biomedical Engineering

Skills

Image Processing • Image Analysis • Machine Learning • Pattern Recognition • Medical Imaging • Matlab • Algorithms • Biomedical Engineering • Computer Vision • Image Segmentation • Mri • Neuroimaging • Python • Signal Processing • Digital Imaging • C • R • Mathematical Modeling • Digital Image Processing • Data Mining • Bioinformatics • Labview • R&D • Latex • Statistics • Physics • Neuroscience • Wavelets • Object Recognition • Logistic Regression • Decision Trees • Linear Regression • Neurodegenerative Diseases • Neurodegeneration • Deep Learning • Artificial Intelligence • Feature Selection • Image Registration • Algorithm Development • Pipelines

Ranks

Certificate:

Edx

Industries

Computer Software

Us Patents

Method And Apparatus For Detecting Spiculated Masses In Mammography
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US Patent:

20100104148, Apr 29, 2010
Filed:

Apr 30, 2009
Appl. No.:

12/433883
Inventors:

Alan C. Bovik - Austin TX, US
Mia K. Markey - Austin TX, US
Mehul Sampat - Sunnyvale CA, US
Assignee:

BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM - Austin TX
International Classification:

G06K 9/40
US Classification:

382128, 382264
Abstract:

A method and apparatus detects one or more spiculated masses in an image using a processor. The image is received in the processor. The received image is filtered using one or more Gaussian filters to detect one or more central mass regions. The received image is also filtered using one or more spiculated lesion filters to detect where the one or more spiculated masses converge. In addition, the received image is filtered using one or more Difference-of-Gaussian filters to suppress one or more linear structures. An enhanced image showing the detected spiculated masses is created by combining an output from all of the filtering steps. The enhanced image is then provided to an output of the processor.

Resumes

Principal Architect

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Location:

Sunnyvale, CA

Industry:

Computer Software

Work:

SYNARC - Newark, CA since Sep 2012
Senior Software Engineer
Department of Neurology, Yale School of Medicine - San Francisco Bay Area/New-Haven Jan 2011 - Aug 2012
Instructor ( Research Faculty)
UCSF Jul 2009 - Dec 2010
Associate Specialist
Brigham and Women's Hospital, Harvard Medical Scho ol Jan 2007 - Jun 2009
Postdoctoral Research Fellow
Advanced Digital Imaging Research Apr 2001 - Jan 2002
Research Engineer

Education:

The University of Texas at Austin 2002 - 2006
PhD, Biomedical Engineering The University of Texas at Austin 2000 - 2002
MS, Biomedical Engineering University of Mumbai 1996 - 2000
BE, Biomedical Engineering

Skills:

Image Processing
Image Analysis
Machine Learning
Pattern Recognition
Medical Imaging
Matlab
Algorithms
Biomedical Engineering
Computer Vision
Image Segmentation
Mri
Neuroimaging
Python
Signal Processing
Digital Imaging
C
R
Mathematical Modeling
Digital Image Processing
Data Mining
Bioinformatics
Labview
R&D
Latex
Statistics
Physics
Neuroscience
Wavelets
Object Recognition
Logistic Regression
Decision Trees
Linear Regression
Neurodegenerative Diseases
Neurodegeneration
Deep Learning
Artificial Intelligence
Feature Selection
Image Registration
Algorithm Development
Pipelines

Certifications:

Edx
Edx Honor Code Certificate For Learning From Data (Introductory Machine Learning Course)

Mehul Sampat Sunnyvale, CA

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Education:

The University of Texas at Austin
Austin, TX
Aug 2006
Ph.D. in Biomedical Engineering The University of Texas at Austin
Austin, TX
May 2002
Ph.D. in Biomedical Engineering D. J. Sanghvi College of Engineering, Mumbai University
Houston, TX
May 2000
B.E. in Biomedical Engineering