Raghavendra Selvan
Adjunkt
Machine Learning
Universitetsparken 1, 2100 København Ø, Bygning: 1.11
Raghavendra Selvan (Raghav) is currently an Assistant Professor at the University of Copenhagen, with joint responsibilities at the Machine Learning Section (Dept. of Computer Science), Kiehn Lab (Department of Neuroscience) and the Data Science Laboratory. He received his PhD in Medical Image Analysis (University of Copenhagen, 2018), his MSc degree in Communication Engineering in 2015 (Chalmers University, Sweden) and his Bachelor degree in Electronics and Communication Engineering degree in 2009 (BMS Institute of Technology, India). Raghavendra Selvan was born in Bangalore, India.
His current research interests are broadly pertaining Bayesian Machine Learning (with a focus on Medical image analysis), Graph-based learning, Tensor networks, Approximate Inference and multi-object tracking theory.
ID: 144763853
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396
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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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86
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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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