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Arkadiusz Sitek

from Ashland, MA
Age ~56
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Also known as:
Arek Sitek, Arkadiusz Siter
Phone and address:
117 Winter St, Ashland, MA 01721
(508) 881-3063
Related to:
Sylwia Zofia Legowik, 48
Connected to:
Christopher M Sitek, 50Joshua D Sitek, 36Milena G Sitek, 42Ryszard J Sitek, 73Tina Sitek, 55Olivia C Siteman, 34Tricia Sitemere, 39Nicole Siter, 47Phoebe A Siter, 43Taylor D Sitera, 42

Arkadiusz Sitek Phones & Addresses

  • 117 Winter St, Ashland, MA 01721 (508) 881-3063
  • 293 America Blvd, Ashland, MA 01721
  • 293 America Blvd #293, Ashland, MA 01721
  • 851 Coventry Ln, Norwood, MA 02062
  • Walnut Creek, CA
  • 1640 Worcester Rd, Framingham, MA 01702
  • 1640 Worcester Rd #527D, Framingham, MA 01702
  • 77 Fairmount Ave, Oakland, CA 94611
  • Piedmont, CA
  • Salt Lake City, UT

Work

Company: Massachusetts general hospital - Boston, MA 2006 Position: Research associate

Education

School / High School: University of British Columbia- Vancouver, BC 1998 Specialities: Ph.D. in Physics

Skills

Medical Imaging • Physics • Image Processing • Medical Physics • Image Analysis • Algorithms • Digital Imaging • Biomedical Engineering • Computed Tomography • OpenGL • Pattern Recognition • Molecular Imaging • Radiology • Signal Processing • Mathematical Modeling

Languages

Polish

Industries

Research

Resumes

Resumes

Arkadiusz Sitek Photo 1

Arkadiusz Sitek Ashland, MA

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Work:
Massachusetts General Hospital
Boston, MA
2006 to 2012
Research Associate
Silodor Open Pairs Tournament

2011 to 2011
Harvard Medical School

2004 to 2006
Scientist
Berkeley, CA
Boston, MA
2001 to 2004
Associate Physicist
Olympics

1987 to 1987
Competitive bridge expert
Education:
University of British Columbia
Vancouver, BC
1998
Ph.D. in Physics
Arkadiusz Sitek Photo 2

Associate Physicist At The Massachusetts General Hospital

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Position:
Associate Physicist at Massachusetts General Hospital
Location:
Greater Boston Area
Industry:
Research
Work:
Massachusetts General Hospital - Greater Boston Area since Nov 2012
Associate Physicist
The Harvard Medical School and Brigham and Women's Hospital Sep 2006 - Nov 2012
Assistant Professor of Radiology
E.O. Lawrence Berkeley Laboratory Aug 2004 - Sep 2006
Scientist
Lawrence Berkeley National Laboratory 2004 - 2006
Scientist
Beth Israel Deaconess Medical Center 2001 - 2004
Scientist
Education:
University of British Columbia 1994 - 1998
Ph.D., Physics Warsaw University 1987 - 1994
M.Sc., Physics PAX 1983 - 1987
Skills:
Medical Imaging
Physics
Image Processing
Medical Physics
Image Analysis
Algorithms
Digital Imaging
Biomedical Engineering
Computed Tomography
OpenGL
Pattern Recognition
Molecular Imaging
Radiology
Signal Processing
Mathematical Modeling
Languages:
Polish

Publications

Us Patents

Factor Analysis In Medical Imaging

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US Patent:
7519211, Apr 14, 2009
Filed:
Sep 19, 2006
Appl. No.:
11/533145
Inventors:
Georges El Fakhri - Brookline MA, US
Arkadiusz Sitek - Walnut Creek CA, US
Assignee:
The Brigham and Women's Hospital, Inc. - Boston MA
Beth Israel Deaconess Medical Center, Inc. - Boston MA
International Classification:
G06K 9/00
G06K 9/38
G06K 9/62
US Classification:
382128, 382272
Abstract:
A method for processing image data includes estimating initial factor images from image data, transforming the estimated initial factor images by a transformation variable to obtain transformed factor images, providing an objective function that is a function of the transformed factor images, and minimizing the objective function to obtain unique factor images from the estimated initial factor images.

Factor Analysis In Medical Imaging

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US Patent:
8175355, May 8, 2012
Filed:
Mar 30, 2009
Appl. No.:
12/414153
Inventors:
Georges El Fakhri - Brookline MA, US
Arkadiusz Sitek - Walnut Creek CA, US
Assignee:
The Brigham and Women's Hospital, Inc. - Boston MA
Beth Israel Deaconess Medical Center, Inc. - Boston MA
International Classification:
G06K 9/00
G06K 9/38
G06K 9/62
US Classification:
382128, 382272
Abstract:
A method for estimating kinetic parameters from image data includes using a processor to execute instructions for providing a model of kinetic contributions from first and second physiological regions; grouping voxels of the image data into first and second groups; determining an average value of the factors associated with the first group, the factors corresponding to blood-flow time activity curves; incorporating the average value of the factors associated with the first group into the model of kinetic contributions from the first and second physiological regions; and estimating the kinetic parameters based on the model of kinetic contributions.

Generalized 5D Dynamic And Spectral Factor Analysis

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US Patent:
8204285, Jun 19, 2012
Filed:
Jun 16, 2006
Appl. No.:
11/916568
Inventors:
Georges El Fakhri - Brookline MA, US
Arkadiusz Sitek - Walnut Creek CA, US
Assignee:
The Brigham and Women's Hospital, Inc. - Boston MA
International Classification:
G06K 9/00
US Classification:
382128
Abstract:
A method for processing image data includes representing the image data as a model having a spatial dimension, a time dimension, and an energy dimension; providing an objective function that is a function of energy factors, time factors, and image coefficients included in the model; and determining values of the energy factors, the time factors, and the image coefficients that minimize a difference between the optimal value of an objective function and a value of the objective function, the values of the energy factors, the time factors, and the image coefficients defining a solution.

Method Of Processing Visual Imagery From A Medical Imaging Device

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US Patent:
20030048937, Mar 13, 2003
Filed:
Apr 11, 2002
Appl. No.:
10/121832
Inventors:
Grant Gullberg - El Cenito CA, US
Arkadiusz Sitek - Framingham MA, US
Assignee:
University of Utah - Salt Lake City UT
International Classification:
G06K009/00
US Classification:
382/131000, 382/154000
Abstract:
A method for using factor analysis to improve the resolution and remove undesired biological activity from medical device imagery employs a Penalized Least Squares Factor Analysis of Dynamic Structures technique. Non-uniqueness correction is provided, based on minimizing the overlaps between images of different factor coefficient images. This invention finds application in the image processing of the full range of medical imaging devices and systems.

Factor Analysis In Medical Imaging

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US Patent:
7127095, Oct 24, 2006
Filed:
Jun 9, 2005
Appl. No.:
11/148700
Inventors:
Georges El Fakhri - Brookline MA, US
Arkadiusz Sitek - Walnut Creek CA, US
Assignee:
The Brigham and Women's Hospital, Inc. - Boston MA
International Classification:
G06K 9/00
G06K 9/36
G06K 9/38
US Classification:
382128, 382276
Abstract:
A method for processing image data includes estimating initial factor images from image data, transforming the estimated initial factor images by a transformation variable to obtain transformed factor images, providing an objective function that is a function of the transformed factor images, and minimizing the objective function to obtain unique factor images from the estimated initial factor images.

Automated Population Based Assessment Of Contrast Absorption Phases

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US Patent:
20220304641, Sep 29, 2022
Filed:
Mar 23, 2021
Appl. No.:
17/209749
Inventors:
- Armonk NY, US
Arkadiusz Sitek - Ashland MA, US
International Classification:
A61B 6/00
G16H 50/20
G16H 50/30
G16H 30/20
G16H 30/40
G06T 5/40
Abstract:
Disclosed are techniques for automated analysis and assessments of contrast medium absorption phases in contrast medium based medical images. A target image set includes a plurality of medical images acquired to image a plurality of contrast medium absorption phases. For the images of the target image set, a set of contrast medium absorption phase probabilities are determined corresponding to likelihoods that a given image corresponds to a given contrast medium absorption phase. The determined sets of contrast medium absorption phases are compared against a reference set of contrast medium absorption phases to determine differences to determine a set of matching scores indicative of how closely the contrast medium absorption phases of the target image set align with the plurality of contrast medium absorption phases as compared to the reference set of contrast medium absorption phases.

Lesion Detection Artificial Intelligence Pipeline Computing System

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US Patent:
20220270254, Aug 25, 2022
Filed:
May 10, 2022
Appl. No.:
17/740909
Inventors:
- Armonk NY, US
PEDRO LUIS ESQUINAS FERNANDEZ - Etobicoke, CA
Paul Dufort - Toronto, CA
Thomas Binder - Fontenay-sous-Bois, FR
Arkadiusz Sitek - Ashland MA, US
Dana Levanony - Tel Aviv, IL
Yi-Qing Wang - Paris, FR
Omid Bonakdar Sakhi - NORTH YORK, CA
International Classification:
G06T 7/00
G06T 7/11
Abstract:
A lesion detection and classification artificial intelligence (AI) pipeline comprising a plurality of trained machine learning (ML) computer models is provided. First ML model(s) process an input volume of medical images (VOI) to determine whether VOI depicts a predetermined amount of an anatomical structure. The AI pipeline determines whether criteria, such as a predetermined amount of an anatomical structure of interest being depicted in the input volume, are satisfied by output of the first ML model(s). If so, lesion processing operations are performed including: second ML model(s) processing the VOI to detect lesions which correspond to the anatomical structure of interest; third ML model(s) performing lesion segmentation and combining of lesion contours associated with a same lesion; and fourth ML models processing the listing of lesions to classify the lesions. The AI pipeline outputs the listing of lesions and the classifications for downstream computing system processing.

A Method And Apparatus For Analysing Echocardiograms

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US Patent:
20210219922, Jul 22, 2021
Filed:
Nov 2, 2018
Appl. No.:
16/760678
Inventors:
- EINDHOVEN, NL
Arkadiusz SITEK - ASHLAND MA, US
Assignee:
KONINKLIJKE PHILIPS N.V. - EINDHOVEN
International Classification:
A61B 5/00
G16H 10/60
A61B 5/339
G16H 50/20
Abstract:
There is provided a computer-implemented method for analysing echocardiograms, the method comprising: obtaining () a plurality of pairs of consecutive echocardiograms for a plurality of subjects from a database (), each echocardiogram having an associated indication of the content of the echocardiogram; analysing () each pair of consecutive echocardiograms to determine an associated class, the class indicating whether there is a change or no change between the consecutive echocardiograms in the pair; for each pair of consecutive echocardiograms, determining () an abstract representation of each echocardiogram by performing one or more convolutions and/or reductions on the echocardiograms in the pair, the abstract representation comprising one or more features indicative of the class of the pair; and training () a predictive model to determine a class for a new pair of echocardiograms based on the abstract representations for the plurality of pairs of consecutive echocardiograms.
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Arkadiusz Sitek from Ashland, MA, age ~56 Get Report