Search

Rakesh Shiradkar

from Cleveland, OH
Get Report
Related to:
Radhika ShiradkarKarthik TuragaVinay Prabhath Turaga, 32Archana R Turaga
Connected to:
Nicholas T Shiraef, 47Mitsuaki Shiraga, 57Susan L Shiraga, 73Donnie Shirah, 57Etchison Shirah, 36Frankie Shirah, 42Gross Shirah, 43Judith J Shirah, 28Rachelle M Shirah, 55Ronald A Shirah, 68

Rakesh Shiradkar Phones & Addresses

  • Cleveland, OH

Work

Company: Case western reserve university Jul 2019 Position: Research assistant professor

Education

Degree: Doctorates, Doctor of Philosophy School / High School: National University of Singapore 2009 to 2014 Specialities: Computer Engineering, Philosophy

Skills

Matlab • Computer Vision • Machine Learning • Digital Image Processing • C++ • Pattern Recognition • Biomedical Engineering • Image Processing • Latex • Medical Imaging • Algorithms • C

Languages

English • Hindi • Telugu • Marathi

Interests

Technology • Photography • Arts

Industries

Research

Resumes

Resumes

Rakesh Shiradkar Photo 1

Research Assistant Professor

View page
Location:
Cleveland, OH
Industry:
Research
Work:
Case Western Reserve University
Research Assistant Professor
Case Western Reserve University Nov 2014 - Jun 2019
Postdoctoral Research Associate
Nanyang Technological University Jun 2014 - Oct 2014
Research Associate
Education:
National University of Singapore 2009 - 2014
Doctorates, Doctor of Philosophy, Computer Engineering, Philosophy Doms, Iit Roorkee 2005 - 2009
Bachelors, Bachelor of Technology, Electrical Engineering St.andrews High School,Saidabad,Hyderabad
Indian Institute of Technology Roorkee
Skills:
Matlab
Computer Vision
Machine Learning
Digital Image Processing
C++
Pattern Recognition
Biomedical Engineering
Image Processing
Latex
Medical Imaging
Algorithms
C
Interests:
Technology
Photography
Arts
Languages:
English
Hindi
Telugu
Marathi

Publications

Us Patents

Predicting Prostate Cancer Risk Of Progression With Multiparametric Magnetic Resonance Imaging Using Machine Learning And Peritumoral Radiomics

View page
US Patent:
20200005931, Jan 2, 2020
Filed:
Apr 26, 2019
Appl. No.:
16/395904
Inventors:
- Cleveland OH, US
Ahmad Algohary - Shaker Heights OH, US
Rakesh Shiradkar - Cleveland OH, US
International Classification:
G16H 30/40
G06T 7/00
Abstract:
Embodiments facilitate stratification of a patient according to prostate cancer (PCa) risk. A first set of embodiments relates to training of a machine learning classifier to compute a probability that a patient has a low-risk of PCa progression based on intratumoral radiomic features and peritumoral radiomic features extracted from multi-parametric magnetic resonance imaging (mpMRI) images. A second set of embodiments relates to classifying a patient as low-risk of PCa progression, or high-risk of PCa progression, based on radiomic features extracted from mpMRI imagery of the patient.

Predicting Prostate Cancer Recurrence In Pre-Treatment Prostate Magnetic Resonance Imaging (Mri) With Combined Tumor Induced Organ Distension And Tumor Radiomics

View page
US Patent:
20180276498, Sep 27, 2018
Filed:
Mar 16, 2018
Appl. No.:
15/923495
Inventors:
- Cleveland OH, US
Rakesh Shiradkar - Cleveland OH, US
Soumya Ghose - University Heights OH, US
International Classification:
G06K 9/62
A61B 5/055
A61B 5/00
G06T 7/11
G06T 7/174
G06T 7/33
G06K 9/68
Abstract:
Embodiments predict prostate cancer (PCa) biochemical recurrence (BCR) employing an image acquisition circuit that accesses a first pre-treatment image and a second pre-treatment image of a region of tissue demonstrating PCa, a distension feature circuit that extracts a set of distension features from the first pre-treatment image, and computes a first probability of PCa BCR based on the set of distension features, a radiomics circuit that extracts a set of radiomics features from the second pre-treatment image, and computes a second probability of PCa recurrence based on the set of radiomics feature, a combined tumor induced organ distension with tumor radiomics (COnTRa) circuit that computes a joint probability that the region of tissue will experience PCa BCR based on the first probability and the second probability, and a display circuit that displays the joint probability.
Control profile
Rakesh Shiradkar from Cleveland, OH Get Report