Raghavendra Selvan
Postdoc
Machine Learning
Sigurdsgade 41, 2200 København N., Bygning: 1.11
Raghavendra Selvan (Raghav) is currently a Postdoctoral researcher at the Machine Learning Section at the Department of Computer Science and the Data Science Lab of University of Copenhagen. He received his PhD in Medical Image Analysis from University of Copenhagen in 2018, his MSc degree in electrical engineering in 2015, from Chalmers University, Gothenburg, Sweden and his Bachelors in Electronics and Communication Engineering degree from BMS Institute of Technology, Bangalore, India. Raghavendra Selvan was born in Bangalore, India.
His research interests broadly include Bayesian and non-Euclidean deep learning applied to Medical Image Analysis and Bayesian tracking theory.
ID: 144763853
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335
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Extraction of Airways from Volumetric Data
Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
Udgivet -
202
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Multiple hypothesis tracking based extraction of airway trees from CT data: using statistical ranking of template-matched hypotheses
Publikation: Konferencebidrag › Poster › Forskning › fagfællebedømt
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67
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Extraction of airway trees using multiple hypothesis tracking and template matching
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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