Anup R Pillai

US Patent:

20110007951, Jan 13, 2011

Filed:

May 11, 2010

Appl. No.:

12/777624

Inventors:

Samson Mil'shtein - Chelmsford MA, US
Michael Baier - Lowell MA, US
Anup Pillai - Lowell MA, US
Ameya M. Shendye - West Haven CT, US

Assignee:

University of Massachusetts Lowell - Lowell MA

International Classification:

G06K 9/00
H04N 7/18

US Classification:

382124, 348 77, 348E07085

Abstract:

In accordance with an embodiment of the invention, there is provided an apparatus for characterizing and identifying a human. The apparatus comprises a light imaging device that images topography of a surface of a portion of human anatomy, and an infrared imaging device that images infrared radiation of the same portion of human anatomy. The light imaging device and the infrared imaging device are rotatable about at least one axis, each of the at least one axis extending through the portion of the anatomy.

US Patent:

20100172548, Jul 8, 2010

Filed:

Sep 19, 2007

Appl. No.:

12/441935

Inventors:

Samson Mil'Shtein - Chelmsford MA, US
John Palma - Dedham MA, US
Christopher Liessner - Georgetown MA, US
Michael Baier - Medway MA, US
Anup Pillai - Lowell MA, US
Ameya Shendye - West Haven CT, US

International Classification:

G06K 9/00
H04N 13/02
H04N 7/18

US Classification:

382117, 348 50, 348 77, 382118, 382125, 348E13074, 348E07085

Abstract:

Methods and/or systems for scanning biometric objects and compiling 2-dimensional digital images thereof, such images as can provide enhanced resolution, with reduced distortion.

US Patent:

20210327019, Oct 21, 2021

Filed:

Jun 28, 2021

Appl. No.:

17/359828

Inventors:

- Armonk NY, US
Anup Pillai - San Jose CA, US
Chaitanya Shivade - San Jose CA, US
Marina Bendersky - Cupertino CA, US
Ashutosh Jadhav - San Jose CA, US
Vandana Mukherjee - Mountain View CA, US
Ehsan Dehghan Marvast - Palo Alto CA, US

International Classification:

G06T 1/20
G06K 9/32
G06T 7/00
G06N 20/00

Abstract:

Mechanisms are provided to implement an automated medical image processing pipeline selection (MIPPS) system. The MIPPS system receives medical image data associated with a patient electronic medical record and analyzes the medical image data to extract evidence data comprising characteristics of one or more medical images in the medical image data indicative of a medical image processing pipeline to select for processing the one or more medical images. The evidence data is provided to a machine learning model of the MIPPS system which selects a medical image processing pipeline based on a machine learning based analysis of the evidence data. The selected medical image processing pipeline processes the medical image data to generate a results output.

US Patent:

20210118536, Apr 22, 2021

Filed:

Oct 18, 2019

Appl. No.:

16/657506

Inventors:

- Armonk NY, US
Anup Pillai - San Jose CA, US
Marwan Sati - Mississauga, CA

International Classification:

G16H 15/00
G16H 30/20
G16H 30/40
G16H 50/20
G06N 20/00
G06K 9/62
G06K 9/46

Abstract:

Methods and systems for clinical report generation. One system includes an electronic processor configured to receive a query image and determine a similarity metric for a plurality of medical images, where the similarity metric represents a similarity between the query image and each of the plurality of medical images. The electronic processor is also configured to determine a predetermined number of medical images from the plurality of medical images based on the similarity metric for each of the plurality of medical images. The electronic processor is also configured to rank a plurality of reports, where each of the plurality of reports correspond to one of the predetermined number of medical images. The electronic processor is also configured to generate a clinical report including information extracted from at least one of the plurality of reports based on the ranking of the plurality of reports.

US Patent:

20200311861, Oct 1, 2020

Filed:

Jun 17, 2020

Appl. No.:

16/903692

Inventors:

- Armonk NY, US
Anup Pillai - San Jose CA, US
Chaitanya Shivade - San Jose CA, US
Marina Bendersky - Cupertino CA, US
Ashutosh Jadhav - San Jose CA, US
Vandana Mukherjee - Mountain View CA, US
Ehsan Dehghan Marvast - Palo Alto CA, US

International Classification:

G06T 1/20
G06K 9/32
G06T 7/00
G06N 20/00

Abstract:

Mechanisms are provided to implement an automated medical image processing pipeline selection (MIPPS) system. The MIPPS system receives medical image data associated with a patient electronic medical record and analyzes the medical image data to extract evidence data comprising characteristics of one or more medical images in the medical image data indicative of a medical image processing pipeline to select for processing the one or more medical images. The evidence data is provided to a machine learning model of the MIPPS system which selects a medical image processing pipeline based on a machine learning based analysis of the evidence data. The selected medical image processing pipeline processes the medical image data to generate a results output.

US Patent:

20190392547, Dec 26, 2019

Filed:

Jun 26, 2018

Appl. No.:

16/018486

Inventors:

- Armonk NY, US
Anup Pillai - San Jose CA, US
Chaitanya Shivade - San Jose CA, US
Marina Bendersky - Cupertino CA, US
Ashutosh Jadhav - Santa Clara CA, US
Vandana Mukherjee - Mountain View CA, US
Ehsan Dehghan Marvast - Palo Alto CA, US

International Classification:

G06T 1/20
G06F 15/18
G06T 7/00
G06K 9/32

Abstract:

Mechanisms are provided to implement an automated medical image processing pipeline selection (MIPPS) system. The MIPPS system receives medical image data associated with a patient electronic medical record and analyzes the medical image data to extract evidence data comprising characteristics of one or more medical images in the medical image data indicative of a medical image processing pipeline to select for processing the one or more medical images. The evidence data is provided to a machine learning model of the MIPPS system which selects a medical image processing pipeline based on a machine learning based analysis of the evidence data. The selected medical image processing pipeline processes the medical image data to generate a results output.

US Patent:

20190258663, Aug 22, 2019

Filed:

May 1, 2019

Appl. No.:

16/400697

Inventors:

- Armonk NY, US
David Beymer - San Jose CA, US
Hakan Bulu - San Jose CA, US
Yaniv Gur - San Jose CA, US
Mehdi Moradi - San Jose CA, US
Anup Pillai - San Jose CA, US
Guy Talmor - San Jose CA, US

International Classification:

G06F 16/432
G06F 17/24
G06F 16/435
G06F 16/2457
G06F 16/55

Abstract:

Annotation of large image datasets is provided. In various embodiments, a plurality of medical images is received. At least one collection is formed containing a subset of the plurality of medical images. One or more image from the at least one collection is provided to each of a plurality of remote users. An annotation template is provided to each of the plurality of remote users. Annotations for the one or more image are received from each of the plurality of remote users. The annotations and the plurality of medical images are stored together.

US Patent:

20190026278, Jan 24, 2019

Filed:

Jul 19, 2017

Appl. No.:

15/654488

Inventors:

- Armonk NY, US
David Beymer - San Jose CA, US
Hakan Bulu - San Jose CA, US
Yaniv Gur - San Jose CA, US
Mehdi Moradi - San Jose CA, US
Anup Pillai - San Jose CA, US
Guy Talmor - San Jose CA, US

International Classification:

G06F 17/30
G06F 17/24

Abstract:

Annotation of large image datasets is provided. In various embodiments, a plurality of medical images is received. At least one collection is formed containing a subset of the plurality of medical images. One or more image from the at least one collection is provided to each of a plurality of remote users. An annotation template is provided to each of the plurality of remote users. Annotations for the one or more image are received from each of the plurality of remote users. The annotations and the plurality of medical images are stored together.