Raghav

Raghav

Assistant Professor @ Machine Learning Section, Kiehn Lab & Data Science Lab, University of Copenhagen

Publications

Preprints

DEVELOPING AND VALIDATING COVID-19 ADVERSE OUTCOME RISK PREDICTION MODELS FROM A BI-NATIONAL EUROPEAN COHORT OF 5594 PATIENTS

Published in Arxiv (Preprint. Under review), 2020

Preprint PDF

Recommended citation: Espen Jimenez-Solem, Tonny S Petersen, Casper Hansen, Christian Hansen, Christina Lioma, Christian Igel, Wouter Boomsma, Oswin Krause, Stephan Lorenzen, Raghavendra Selvan, Janne Petersen, Martin Erik Nyeland, Mikkel Zoellner Ankarfeldt, Gert Mehl Virenfeldt, Matilde Winther-Jensen, Allan Linneberg, Mostafa Mediphour Ghazi, Nicki Detlefsen, Andreas Lauritzen, Abraham George Smith, Marleen de Bruijne, Bulat Ibragimov, Jens Petersen, Martin Lillholm, Jon Middleton, Stine Hasling Mogensen, Hans-Christian Thorsen-Meyer, Anders Perner, Marie Helleberg, Benjamin Skov Kaas-Hansen, Mikkel Bonde, Alexander Bonde, Akshay Pai, Mads Nielsen, Martin Sillesen " DEVELOPING AND VALIDATING COVID-19 ADVERSE OUTCOME RISK PREDICTION MODELS FROM A BI-NATIONAL EUROPEAN COHORT OF 5594 PATIENTS." Medrxiv, 2020.

Journal Articles

Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies

Published in IEEE transactions on medical imaging, 2019

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Recommended citation: Jens Petersen, Andres Arias-Lorza, Raghavendra Selvan, Daniel Bos, Aad Lugt, Jesper Pedersen, Mads Nielsen, Marleen Bruijne, "Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies." IEEE transactions on medical imaging, 2019.

Refereed Conference/Workshop Papers

Multi-layered tensor networks for image classification

Published in First Workshop on Quantum Tensor Networks in Machine Learning. In conjunction with 34th NeurIPS, 2020., 2020

Preprint PDF,

Recommended citation: Raghavendra Selvan, Silas Ørting, Erik B Dam; Multi-layered tensor networks for image classification; First Workshop on Quantum Tensor Networks in Machine Learning. In conjunction with 34th NeurIPS, 2020.

Characterising the Atomic Structure of Mono-Metallic Nanoparticles from X-Ray Scattering Data Using Conditional Generative Models

Published in 16th International Workshop on Mining and Learning with Graphs, 2020

Preprint PDF

Recommended citation: Andy Sode Anker, Emil T. S. Kjær, Erik B. Dam, Simon J. L. Billinge, Kirsten M. Ø. Jensen, Raghavendra Selvan; Characterising the Atomic Structure of Mono-Metallic Nanoparticles from X-Ray Scattering Data Using Conditional Generative Models; 16th International Workshop on Mining and Learning with Graphs, 2020.

Tensor Networks for Medical Image Classification

Published in the proceedings of International Conference on Medical Imaging with Deep Learning (MIDL). Winner of Runner-up Best Paper Award., 2020

PDF on Openreview, Video

Recommended citation: Raghavendra Selvan, Erik Dam, "Tensor Networks for Medical Image Classification." In the proceedings of International Conference on Medical Imaging with Deep Learning (MIDL), 2020.

Mean field network based graph refinement with application to airway tree extraction

Published in the proceedings of 21st Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI 2018), Grenada, Spain, 2018

Preprint PDF

Recommended citation: Raghavendra Selvan, Max Welling, Jesper Pedersen, Jens Petersen, Marleen Bruijne, "Mean field network based graph refinement with application to airway tree extraction." In the proceedings of 21st Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI 2018), Grenada, Spain (preprint), 2018.

Extraction of Airways using Graph Neural Networks

Published in the proceedings of 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam., 2018

PDF

Recommended citation: Raghavendra Selvan, Thomas Kipf, Max Welling, Jesper Pedersen, Jens Petersen, Marleen Bruijne, "Extraction of Airways using Graph Neural Networks." In the proceedings of 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam., 2018.

Extraction of airways with probabilistic state-space models and Bayesian smoothing

Published in the proceedings of Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Preprint PDF

Recommended citation: Raghavendra Selvan, Jens Petersen, Jesper Pedersen, Marleen Bruijne, "Extraction of airways with probabilistic state-space models and Bayesian smoothing." In the proceedings of Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017.

Extraction of airway trees using multiple hypothesis tracking and template matching

Published in the proceedings of The Sixth International Workshop on Pulmonary Image Analysis. MICCAI, 2016

Preprint

Recommended citation: Raghavendra Selvan, Jens Petersen, Jesper Pedersen, Marleen Bruijne, "Extraction of airway trees using multiple hypothesis tracking and template matching." In the proceedings of The Sixth International Workshop on Pulmonary Image Analysis. MICCAI, 2016.

Theses

Extraction of Airways from Volumetric Data

Published in University of Copenhagen (PhD Thesis), 2018

PDF

Recommended citation: Raghavendra, Selvan. Extraction of Airways from Volumetric Data. Department of Computer Science, Faculty of Science, University of Copenhagen, 2018.