Search

Ali C Kamen

from Skillman, NJ
Age ~53
Get Report
Also known as:
Ali Khamene, Ali C Kanten, Hanene K Ali, Aig Khamene, Ali Soltani, Ali Soltani Dastgerdi, Ali Khamen, Ali I, Kamen Ali
Phone and address:
15 La Costa Ct, Montgomery, NJ 08558
(609) 721-3203
Related to:
Farnaz Soltani, 51Mostafa Soltani, 96Franz Khamene
Connected to:
Barnett Kamen, 72Garrett S Kamen, 42Marina Kamen, 71Melissa S Kamen, 62Peter Kamen, 81Richard S Kamen, 73Tess Kamen, 31Vladimir L Kamen, 67Jennifer M Kamena, 49Pamela Kamena, 63

Ali Kamen Phones & Addresses

  • 15 La Costa Ct, Skillman, NJ 08558 (609) 721-3203
  • Miami, FL
  • Princeton, NJ
  • Plainsboro, NJ

Resumes

Resumes

Ali Kamen Photo 1

Ali Kamen

View page
Ali Kamen Photo 2

Experienced Customer Service Associate

View page
Position:
Customer Service Associate at Armellini Express Lines
Location:
Port Saint Lucie, Florida
Industry:
Transportation/Trucking/Railroad
Work:
Armellini Express Lines - Florida since Feb 2012
Customer Service Associate
New Beginnings Medical - Port Saint Lucie, FL Nov 2011 - Jan 2012
Office Assistant/hCG Specialist
Randstad - West Palm Beach, Florida Area May 2011 - Sep 2011
Temp for Assignment
Automotive Resources International - Mount Laurel, New Jersey Mar 2007 - Jan 2011
Implementation Project Coordinator
Automotive Resources International Mar 2007 - Nov 2008
Dedicated Coordinator
Education:
Hood College 2003 - 2007
BA, Communications
Skills:
Database Management
Customer Service
Telephone Support
Event Planning
Writing
Microsoft Office
Mac OS X
Scheduling
Customer Relations
Social Media
Fundraising
PowerPoint
Public Relations
Administration
Facebook
Database Administration
Social Networking
Administrative Support
Microsoft Word
Microsoft Excel
Interests:
Reading, baking, traveling, watching sports

Publications

Us Patents

Integration Of Micro And Macro Information For Biomedical Imaging

View page
US Patent:
8386015, Feb 26, 2013
Filed:
Oct 23, 2009
Appl. No.:
12/604504
Inventors:
Ali Kamen - Princeton NJ, US
Fred S. Azar - Oakland NJ, US
John V. Frangioni - Wayland MA, US
Assignee:
Siemens Aktiengesellschaft - München
Beth Israel Deaconess Medical Center - Boston MA
International Classification:
A61B 5/00
US Classification:
600411, 600425, 600427, 382128
Abstract:
Macroscopic imaging data, such as from a CT, MR, PET, or SPECT scanner, is obtained. Microscopic imaging data of at least a portion of the same tissue is obtained. To align the microscopic imaging data with the macroscopic imaging data, intermediate data is also obtained. For example, photographic data is acquired at an intermediary stage of a process of preparing tissue for microscopic scan. The macroscopic and microscopic data are registered to the intermediary photographic data. Once registered to the intermediary data, the spatial relationship between the macroscopic and microscopic data is known and may be used for imaging or quantification.

System And Method For Robust 2D-3D Image Registration

View page
US Patent:
8457373, Jun 4, 2013
Filed:
Mar 4, 2010
Appl. No.:
12/717392
Inventors:
Ali Kamen - Princeton NJ, US
Hari Sundar - Piscataway NJ, US
Wolfgang Wein - Munich, DE
Assignee:
Siemens Aktiengesellschaft - Munich
International Classification:
G06K 9/00
US Classification:
382128
Abstract:
A method for registering 2-dimensional (2D) images with 3-dimensional (3D) images includes receiving a 2D reference image and a 3D moving image, initializing a registration parameter matrix that rigidly transforms the domain of the moving image, randomly sampling a set of registration parameter matrices in a neighborhood of the initial registration parameters, estimating a cost function for each of the randomly sampled parameter matrices, calculating a distance from each randomly sampled parameter matrix to the initial registration parameter matrix, calculating a mean shift vector from the estimated cost functions and distance, and updating the initial registration parameter matrix from the mean shift vector.

Deformable 2D-3D Registration Of Structure

View page
US Patent:
8494243, Jul 23, 2013
Filed:
May 28, 2010
Appl. No.:
12/789521
Inventors:
Hari Sundar - Piscataway NJ, US
Ali Kamen - Princeton NJ, US
Rui Liao - Princeton Junction NJ, US
Darko Zikic - München, DE
Martin Groher - München, DE
Yunhao Tan - Sunnyvale CA, US
Assignee:
Siemens Aktiengesellschaft - München
International Classification:
G06K 9/00
US Classification:
382131, 382128
Abstract:
A method for performing deformable non-rigid registration of 2D and 3D images of a vascular structure for assistance in surgical intervention includes acquiring 3D image data. An abdominal aorta is segmented from the 3D image data using graph-cut based segmentation to produce a segmentation mask. Centerlines are generated from the segmentation mask using a sequential topological thinning process. 3D graphs are generated from the centerlines. 2D image data is acquired. The 2D image data is segmented to produce a distance map. An energy function is defined based on the 3D graphs and the distance map. The energy function is minimized to perform non-rigid registration between the 3D image data and the 2D image data. The registration may be optimized.

System And Method For Image Guided Prostate Cancer Needle Biopsy

View page
US Patent:
20100286517, Nov 11, 2010
Filed:
May 6, 2010
Appl. No.:
12/774798
Inventors:
Ali Kamen - Princeton NJ, US
Wolfgang Wein - Munich, DE
Parmeshwar Khurd - Princeton NJ, US
Mamadou Diallo - Plainsboro NJ, US
Ralf Nanke - Neunkirchen am Brand, DE
Jens Fehre - Hausen, DE
Berthold Kiefer - Erlangen, DE
Martin Requardt - Nurnberg, DE
Clifford Weiss - Baltimore MD, US
Assignee:
Siemens Corporation - Iselin NJ
International Classification:
A61B 8/14
A61B 8/00
US Classification:
600438, 600443
Abstract:
In a method for image guided prostate cancer needle biopsy, a first registration is performed to match a first image of a prostate to a second image of the prostate. Third images of the prostate are acquired and compounded into a three-dimensional (3D) image. The prostate in the compounded 3D image is segmented to show its border. A second registration and then a third registration different from the second registration is performed on distance maps generated from the prostate borders of the first image and the compounded 3D image, wherein the first and second registrations are based on a biomechanical property of the prostate. A region of interest in the first image is mapped to the compounded 3D image or a fourth image of the prostate acquired with the second modality.

Fusion Of 3D Volumes With Ct Reconstruction

View page
US Patent:
20100290685, Nov 18, 2010
Filed:
Apr 29, 2010
Appl. No.:
12/769789
Inventors:
Wolfgang Wein - Munich, DE
Estelle Camus - Mountain View CA, US
Matthias John - Nurnberg, DE
Ali Kamen - Princeton NJ, US
Christophe Duong - Mountain View CA, US
Chenyang Xu - Berkeley CA, US
Assignee:
Siemens Corporation - Iselin NJ
International Classification:
G06K 9/62
US Classification:
382131
Abstract:
A method for registration of ultrasound device in three dimensions to a C-arm scan, the method including acquiring a baseline volume, acquiring images in which the ultrasound device is disposed, locating the device within the images, registering the location of the device to the baseline volume, acquiring an ultrasound volume from the ultrasound device, registering the ultrasound volume to the baseline volume, and performing fusion imaging to display a view of the ultrasound device in the baseline volume.

Method Of Motion Compensation For Trans-Catheter Aortic Valve Implantation

View page
US Patent:
20110164035, Jul 7, 2011
Filed:
Jan 5, 2011
Appl. No.:
12/984954
Inventors:
Rui Liao - Princeton Junction NJ, US
Ali Kamen - Princeton NJ, US
Matthias John - Nurnberg, DE
Alois Nöttling - Pottenstein, DE
Jan Boese - Eckental, DE
Maria Lydia Sarmiento - New York NY, US
Assignee:
Siemens Corporation - Iselin NJ
International Classification:
G06T 15/00
US Classification:
345419
Abstract:
A method () to compensate for cardiac and respiratory motion in cardiac imaging during minimal invasive (e.g., trans-catheter) AVI procedures by image-based tracking () on fluoroscopic images.

Hierarchical Atlas-Based Segmentation

View page
US Patent:
20110216954, Sep 8, 2011
Filed:
Feb 24, 2011
Appl. No.:
13/033730
Inventors:
Hari Sundar - Piscataway NJ, US
Ali Kamen - Princeton NJ, US
Thomas Boettger - Heidelberg, DE
Assignee:
Siemens Corporation - Iselin NJ
International Classification:
G06K 9/32
G06K 9/00
US Classification:
382131, 382294
Abstract:
A method for segmenting an image includes registering an annotated template image to an acquired reference image using only rigid transformations to define a transformation function relating the annotated template image to the acquired reference image. The defined transformation function is refined by registering the annotated template image to the acquired reference image using only affine transformations. The refined transformation function is further refined by registering the annotated template image to the acquired reference image using only multi-affine transformations. The twice refined transformation function is further refined by registering the annotated template image to the acquired reference image using deformation transformations.

Systems And Method For Automatic Prostate Localization In Mr Images Using Random Walker Segmentation Initialized Via Boosted Classifiers

View page
US Patent:
20130064439, Mar 14, 2013
Filed:
Nov 8, 2011
Appl. No.:
13/291615
Inventors:
Parmeshwar Khurd - Princeton NJ, US
Leo Grady - Yardley PA, US
Ali Kamen - Skillman NJ, US
Mamadou Diallo - Plainsboro NJ, US
Kalpitkumar Gajera - Mountain View CA, US
Peter Gall - Buckenhof, DE
Martin Requardt - Nurnberg, DE
Berthold Kiefer - Erlangen, DE
Clifford R. Weiss - Baltimore MD, US
Assignee:
Siemens Corporation - Iselin NJ
International Classification:
G06K 9/34
G06K 9/62
US Classification:
382131
Abstract:
Automatic prostate localization in T2-weighted MR images facilitate labor-intensive cancer imaging techniques. Methods and systems to accurately segment the prostate gland in MR images are provided and address large variations in prostate anatomy and disease, intensity inhomogeneities, and artifacts induced by endorectal coils. A center of the prostate is automatically detected with a boosted classifier trained on intensity based multi-level Gaussian Mixture Model Expectation Maximization (GMM-EM) segmentations of the raw MR images. A shape model is used in conjunction with Multi-Label Random Walker (MLRW) to constrain the seeding process within MLRW.
Control profile
Ali C Kamen from Skillman, NJ, age ~53 Get Report