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Chetan L. Srinidhi
Researcher, Siemens Healthineers
Joined
July 2021
Names
Chetan L. Srinidhi
(Preferred)
,
Chetan L Srinidhi
Emails
****@utoronto.ca
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@siemens-healthineers.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Career & Education History
Researcher
Siemens Healthineers
(siemens-healthineers.com)
2022
–
Present
Postdoc
Toronto University
(utoronto.ca)
2019
–
2022
PhD student
National Institute of Technology Karnataka
(nitk.edu.in)
2013
–
2019
MS student
R V College of Engineering
(rvce.edu.in)
2010
–
2012
Advisors, Relations & Conflicts
Postdoc Advisor
Anne L. Martel
2019
–
2022
Coauthor
Jayanthi Sivaswamy
2016
–
2019
PhD Advisor
Jeny Rajan
2013
–
2019
PhD Advisor
Aparna P
2013
–
2019
Expertise
Combinatorial optimization
,
Mixed Integer Programming
,
Operations Research
2022
–
Present
Computational Pathology
,
Digital Pathology
,
Medical Image Analysis
,
Deep Learning
2019
–
Present
Self-Supervised Learning
2019
–
Present
Semi-Supervised Learning
2019
–
Present
Computational Pathology
2019
–
Present
Medical Image Analysis
2013
–
Present
Retinal Image Analysis
,
Computer Aided Diagnosis
,
Machine Learning
,
Pattern Recognition
2013
–
2018
Publications
AI-assisted detection of breast cancer lymph node metastases in the post-neoadjuvant treatment setting
Tony Xu
,
Maged Goubran
,
Chetan L. Srinidhi
,
dina bassiouny
,
Michael Sze Wai Lam
,
sharon nofech-mozes
,
Anne Martel
Laboratory Investigation
Readers:
Everyone
Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes
Samrudhdhi B. Rangrej
,
Chetan L. Srinidhi
,
James J. Clark
2022 (modified: 14 Apr 2022)
CoRR 2022
Readers:
Everyone
Self-supervised driven consistency training for annotation efficient histopathology image analysis
Chetan L. Srinidhi
,
Seung Wook Kim
,
Fu-Der Chen
,
Anne L. Martel
2022 (modified: 14 Apr 2022)
Medical Image Anal. 2022
Readers:
Everyone
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology
Chetan L. Srinidhi
,
Anne L. Martel
2021 (modified: 14 Apr 2022)
ICCVW 2021
Readers:
Everyone
Deep neural network models for computational histopathology: A survey
Chetan L. Srinidhi
,
Ozan Ciga
,
Anne L. Martel
2021 (modified: 15 Sept 2021)
Medical Image Anal. 2021
Readers:
Everyone
Automated Method for Retinal Artery/Vein Separation via Graph Search Metaheuristic Approach
Chetan L. Srinidhi
,
P. Aparna
,
Jeny Rajan
2019 (modified: 15 Sept 2021)
IEEE Trans. Image Process. 2019
Readers:
Everyone
Deep neural network models for computational histopathology: A survey
Chetan L. Srinidhi
,
Ozan Ciga
,
Anne L. Martel
2019 (modified: 15 Sept 2021)
CoRR 2019
Readers:
Everyone
A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images
Chetan L. Srinidhi
,
P. Aparna
,
Jeny Rajan
2018 (modified: 15 Sept 2021)
Biomed. Signal Process. Control. 2018
Readers:
Everyone
Recent Advancements in Retinal Vessel Segmentation
Chetan L. Srinidhi
,
P. Aparna
,
Jeny Rajan
2017 (modified: 15 Sept 2021)
J. Medical Syst. 2017
Readers:
Everyone
A Vessel Keypoint Detector for junction classification
Chetan L. Srinidhi
,
Priyadarshi Rath
,
Jayanthi Sivaswamy
2017 (modified: 15 Sept 2021)
ISBI 2017
Readers:
Everyone
Co-Authors
Anne L. Martel
Anne Martel
Fu-Der Chen
James J. Clark
Jayanthi Sivaswamy
Jeny Rajan
Maged Goubran
Michael Sze Wai Lam
Ozan Ciga
P. Aparna
Priyadarshi Rath
Samrudhdhi B. Rangrej
Seung Wook Kim
Tony Xu
dina bassiouny
sharon nofech-mozes