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Chitresh Bhushan

from Schenectady, NY
Age ~38
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Connected to:
Jayant Bhushan, 39Jyoti Bhushan, 86Pragya Bhushan, 50Priti Bhushan, 29Shashi Bhushan, 49Vishal Bhushan, 42Vivek Bhushan, 42Purnima R Bhuta, 65Ronak Bhuta, 41Sandeep P Bhuta, 41

Chitresh Bhushan Phones & Addresses

  • Schenectady, NY
  • Los Angeles, CA

Resumes

Resumes

Chitresh Bhushan Photo 1

Lead Scientist

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Location:
Schenectady, NY
Industry:
Research
Work:
University of Southern California - Los Angeles, California since Aug 2010
Research Assistant
CSIRO 2008 - 2008
Industrial Trainee
Education:
University of Southern California 2010 - 2015
PhD, Electrical Engineering Indian Institute of Technology, Kharagpur 2005 - 2010
Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering
Skills:
Matlab
Algorithms
Computer Vision
Signal Processing
Machine Learning
Image Processing
C
Pattern Recognition
Image Analysis
Digital Signal Processors
Simulations
Latex
Mathematical Modeling
Data Analysis
Simulink
C++
Opencv
Java
Bio Medical Imaging
Mri
Medical Imaging
Numerical Analysis
Software Development
Digital Image Processing
Research and Development
Languages:
Hindi
English
Chitresh Bhushan Photo 2

Phd Student In Electrical Engineering At University Of Southern California, Los Angeles.

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Position:
Research Assistant at University of Southern California
Location:
Greater Los Angeles Area
Industry:
Electrical/Electronic Manufacturing
Work:
University of Southern California since Aug 2011
Research Assistant
CSIRO 2008 - 2008
Industrial Trainee
Education:
University of Southern California 2010 - 2014
PhD, Electrical Indian Institute of Technology, Kharagpur 2005 - 2010
Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering

Publications

Us Patents

Deep Learning Based Medical System And Method For Image Acquisition

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US Patent:
20220301163, Sep 22, 2022
Filed:
Mar 16, 2021
Appl. No.:
17/203196
Inventors:
- Wauwatosa WI, US
Deepa Anand - Bangalore, IN
Dattesh Dayanand Shanbhag - Bangalore, IN
Chitresh Bhushan - Glenville NY, US
Radhika Madhavan - Niskayuna NY, US
International Classification:
G06T 7/00
G06N 20/00
G06T 7/11
G06T 3/00
Abstract:
A medical imaging system includes at least one medical imaging device providing image data of a subject and a processing system programmed to generate a plurality of training images having simulated medical conditions by blending a pathology region from a plurality of template source images to a plurality of target images. The processing system is further programmed to train a deep learning network model using the plurality of training images and input the image data of the subject to the deep learning network model. The processing system is further programmed to generate a medical image of the subject based on the output of the deep learning network model.

System And Method For Deep Learning Based Continuous Federated Learning

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US Patent:
20230094940, Mar 30, 2023
Filed:
Sep 27, 2021
Appl. No.:
17/486796
Inventors:
- Wauwatosa WI, US
Soumya Ghose - Niskayuna NY, US
Dattesh Dayanand Shanbhag - Bangalore, IN
Andre De Almeida Maximo - Rio de Janeiro, BR
Chitresh Bhushan - Glenville NY, US
Desmond Teck Beng Yeo - Clifton Park NY, US
Thomas Kwok-Fah Foo - Clifton Park NY, US
International Classification:
G06N 3/08
G06K 9/62
Abstract:
A deep learning-based continuous federated learning network system is provided. The system includes a global site comprising a global model and a plurality of local sites having a respective local model derived from the global model. The plurality of model tuning modules having a processing system are provided at the plurality of local sites for tuning the respective local model. The processing system is programmed to receive incremental data and select one or more layers of the local model for tuning based on the incremental data. Finally, the selected layers are tuned to generate a retrained model.

System And Method For Deep Learning Techniques Utilizing Continuous Federated Learning With A Distributed Data Generative Model

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US Patent:
20230004872, Jan 5, 2023
Filed:
Jul 1, 2021
Appl. No.:
17/365650
Inventors:
- Wauwatosa WI, US
Radhika Madhavan - Latham NY, US
Chitresh Bhushan - Glenville NY, US
Dattesh Dayanand Shanbhag - Bangalore, IN
Deepa Anand - Bangalore, IN
Desmond Teck Beng Yeo - Clifton Park NY, US
Thomas Kwok-Fah Foo - Clifton Park NY, US
International Classification:
G06N 20/20
G06K 9/62
G06T 7/00
Abstract:
A computer implemented method is provided. The method includes establishing, via multiple processors, a continuous federated learning framework including a global model at a global site and respective local models derived from the global model at respective local sites. The method also includes retraining or retuning, via the multiple processors, the global model and the respective local models without sharing actual datasets between the global site and the respective local sites but instead sharing synthetic datasets generated from the actual datasets.

Systems And Methods For Generating Localizer Scan Settings From Calibration Images

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US Patent:
20210080531, Mar 18, 2021
Filed:
Sep 17, 2019
Appl. No.:
16/573955
Inventors:
- Milwaukee WI, US
Dattesh Dayanand Shanbhag - Bangalore, IN
Chitresh Bhushan - Schenectady NY, US
André de Almeida Maximo - Rio de Janeiro, BR
International Classification:
G01R 33/58
G01R 33/54
A61B 5/055
A61B 5/00
G06N 3/08
G06N 20/00
G06F 9/54
Abstract:
Methods and systems are provided for determining scan settings for a localizer scan based on a magnetic resonance (MR) calibration image. In one example, a method for magnetic resonance imaging (MRI) includes acquiring an MR calibration image of an imaging subject, mapping, by a trained deep neural network, the MR calibration image to a corresponding anatomical region of interest (ROI) attribute map for an anatomical ROI of the imaging subject, adjusting one or more localizer scan parameters based on the anatomical ROI attribute map, and acquiring one or more localizer images of the anatomical ROI according to the one or more localizer scan parameters.

System And Method For Assessing Image Quality

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US Patent:
20200111210, Apr 9, 2020
Filed:
Oct 9, 2018
Appl. No.:
16/155680
Inventors:
- Schenectady NY, US
Chitresh Bhushan - Schenectady NY, US
Thomas Kwok-Fah Foo - Clifton Park NY, US
Desmond Teck Beng Yeo - Clifton Park NY, US
International Classification:
G06T 7/00
G06K 9/62
G06N 3/08
G06T 3/40
Abstract:
The present disclosure relates to the classification of images, such as medical images using machine learning techniques. In certain aspects, the technique may employ a distance metric for the purpose of classification, where the distance metric determined for a given image with respect to a homogenous group or class of images is used to classify the image.

Plane Selection Using Localizer Images

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US Patent:
20200037962, Feb 6, 2020
Filed:
Aug 1, 2018
Appl. No.:
16/051723
Inventors:
- Schenectady NY, US
Chitresh Bhushan - Schenectady NY, US
Arathi Sreekumari - Bangalore, IN
Andre de Almeida Maximo - Rio de Janeiro, BR
Rakesh Mullick - Bangalore, IN
Thomas Kwok-Fah Foo - Clifton Park NY, US
International Classification:
A61B 5/00
A61B 5/055
Abstract:
The present disclosure relates to use of a workflow for automatic prescription of different radiological imaging scan planes across different anatomies and modalities. The automated prescription of such imaging scan planes helps ensure contiguous visualization of the different landmark structures. Unlike prior approaches, the disclosed technique determines the necessary planes using the localizer images itself and does not explicitly segment or delineate the landmark structures to perform plane prescription.
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Chitresh Bhushan from Schenectady, NY, age ~38 Get Report