Mark A Rosen

Address:

55 Thompson St APT 8A, New York, NY 10012

Phone:

(212)7594897

VIN:

ZFFJB54AX70155732

Make:

FERRARI

Model:

612 SCAGLIETTI

Year:

2007

US Patent:

8204315, Jun 19, 2012

Filed:

Oct 18, 2007

Appl. No.:

11/907967

Inventors:

Anant Madabhushi - South Plainfield NJ, US
Michael D. Feldman - Garnet Valley PA, US
John E. Tomaszewski - Abington PA, US
Mark Rosen - Bala Cynwyd PA, US
Jianbo Shi - Philadelphia PA, US

Assignee:

The Trustees of the University of Pennsylvania - Philadelphia PA
Rutgers, The State University of New Jersey - New Brunswick NJ

International Classification:

G06K 9/62
G06K 9/00

US Classification:

382224, 382128, 382159, 382225

Abstract:

This invention relates to supervised or unsupervised classification of biological datasets. Specifically, the invention relates to the use of Graph Embedding as a method of reducing dimensionality thereby improving supervised classification of classes, both conventional and new ones.

US Patent:

20100169024, Jul 1, 2010

Filed:

Sep 8, 2009

Appl. No.:

12/555556

Inventors:

Anant Madabhushi - South Plainfield NJ, US
Pallavi Tiwari - Highland Park NJ, US
Mark Rosen - Bala Cynwyd PA, US

Assignee:

The Trustees of the University of Pennsylvania - Philadelphia PA
Rutgers, The State University of New Jersey - New Brunswick NJ

International Classification:

G06F 19/00

US Classification:

702 19

Abstract:

A method for classifying a possible cancer from a magnetic resonance spectrographic (MRS) dataset includes extracting at least one feature from the MRS dataset as being identified with the possible cancer and embedding the extracted feature into a low dimensional space to form an embedded space. The method then clusters the embedded space into clusters representing a plurality of predetermined classes and spectrally decomposing the clusters to identify substantially significant independent metabolic signatures. The method then classifies the possible cancer as belong to one of at least two cancer classes based on the identified independent metabolic signatures.

US Patent:

20110026798, Feb 3, 2011

Filed:

Feb 19, 2009

Appl. No.:

12/867349

Inventors:

Anant Madabhushi - South Plainfield NJ, US
Shannon Agner - Ventor NJ, US
Mark Rosen - Bala Cynwyd PA, US

Assignee:

The Trustees of the University of Pennyslvania - Philadelphia PA

International Classification:

G06K 9/00

US Classification:

382131

Abstract:

A method and apparatus for classifying possibly malignant lesions from sets of DCE-MRI images includes receiving a set of MRI slice images obtained at respectively different times, where each slice image includes voxels representative of at least one region of interest (ROI). The images are processed to determine the boundaries of the ROIs and the voxels within the identified boundaries in corresponding regions of the images from each time period are processed to extract kinetic texture features. The kinetic texture features are then used in a classification process which classifies the ROIs as malignant or benign. The malignant lesions are further classified to separate TN lesions from non-TN lesions.