Sila Kurugol

Boston Children's Hospital and Harvard Medical School

Names

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Sila Kurugol (Preferred)

Emails

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****@childrens.harvard.edu
,
****@gmail.com

Education & Career History

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Assistant Professor
Boston Children's Hospital and Harvard Medical School (childrens.harvard.edu)
2021Present
 
Instructor of Radiology
Boston Children's Hospital and Harvard Medical School (childrens.harvard.edu)
20162021
 
Postdoctoral Research Fellow
Boston Children's Hospital and Harvard Medical School (childrens.harvard.edu)
20142016
 
Postdoctoral Research Fellow
Brigham and Women's Hospital and Harvard Medical School (bwh.harvard.edu)
20112014
 
Phd student/Research Assistant
Northeastern University (ece.neu.edu)
20052011
 
MS student/Research Assistant
Bilkent University (ee.bilkent.edu)
20032005
 
Undergrad student
Middle East Technical University (eee.metu.edu)
19992003
 

Advisors, Relations & Conflicts

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Coauthor
Onur Afacan
****@childrens.harvard.edu
20142021
 
Coauthor
Simon Warfield
****@childrens.harvard.edu
20142021
 
Coauthor
Moti Freiman
****@philips.com
20142021
 
Postdoc Advisee
Jamshid Sourati
****@childrens.harvard.edu
20172019
 
Coauthor
Yechiel Lamash
****@gmail.com
20172018
 
mentor
Simon Warfield
****@childrens.harvard.edu
20142016
 
Coauthor
Jeannette Perez-rossello
****@childrens.harvard.edu
20142016
 
Coauthor
Moti Freiman
****@childrens.harvard.edu
20142016
 
Coauthor
Moti Freiman
****@gmail.com
20142016
 
Coauthor
Vahid Taimouri
****@wayne.edu
20152015
 
Coauthor
Jose estepar raul San
****@bwh.harvard.edu
20142014
 
Postdoc Advisor
George Washko
****@partners.org
20112014
 
PhD Advisor
Dana Brooks
****@ece.neu.edu
20062011
 
PhD Advisor
Jennifer Dy
****@ece.neu.edu
20062011
 
Coauthor
Necmiye Ozay
****@gmail.com
20102010
 
Coauthor
Dana Brooks
****@ece.neu.edu
20082010
 
Coauthor
Milind Rajadhyaksha
****@gmail.com
20082009
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

weak labels
2018Present
 
dynamic contrast enhanced MRI
2016Present
 
kidneys
2016Present
 
active learning
2016Present
 
semi supervised learning
2016Present
 
deep learning
2016Present
 
image reconstruction
2016Present
 
motion compensation
2016Present
 
quantitative MRI
2016Present
 
crohn's diseae
2014Present
 
abdominal MRI
2014Present
 
motion-compensated imaging
2014Present
 
diffusion weighted MRI
2014Present
 
machine learning
2006Present