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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
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portfolio
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publications
Bayesian tracking of multiple point targets using expectation maximization
Published in Chalmers University (MSc Thesis), 2015
Recommended citation: Selvan, Raghavendra. Bayesian tracking of multiple point targets using expectation maximization. MS thesis. 2015.
A batch algorithm for estimating trajectories of point targets using expectation maximization
Published in IEEE Transactions on Signal Processing, 2016
Recommended citation: Abu Rahmathullah, Raghavendra Selvan, Lennart Svensson, "A batch algorithm for estimating trajectories of point targets using expectation maximization." IEEE Transactions on Signal Processing, 2016.
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
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.
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
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 Airways using Graph Neural Networks
Published in the proceedings of 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam., 2018
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 from Volumetric Data
Published in University of Copenhagen (PhD Thesis), 2018
Recommended citation: Raghavendra, Selvan. Extraction of Airways from Volumetric Data. Department of Computer Science, Faculty of Science, University of Copenhagen, 2018.
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
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.
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
Published in the proceedings of International Workshop on Machine Learning in Medical Imaging, 2019
Recommended citation: Antonio Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen Bruijne, "A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs." In the proceedings of International Workshop on Machine Learning in Medical Imaging, 2019.
Extracting tree-structures in CT data by tracking multiple statistically ranked hypotheses
Published in the International Journal of Medical Physics Research and Practice, 2019
Recommended citation: Raghavendra Selvan, Jens Petersen, Jesper Pedersen, Marleen Bruijne, "Extracting tree-structures in CT data by tracking multiple statistically ranked hypotheses." The International Journal of Medical Physics Research and Practice, 2019.
Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies
Published in IEEE transactions on medical imaging, 2019
Use Google Scholar for full citation
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.
Segmentation of roots in soil with U-Net
Published in Journal of Plant Methods, 2019
Recommended citation: Abraham Smith, Jens Petersen, Raghavendra Selvan, Camilla Rasmussen, "Segmentation of roots in soil with U-Net." Journal of Plant Methods, 2019.
Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks
Published in Medical Image Analysis, 2020
Recommended citation: Raghavendra Selvan, Thomas Kipf, Max Welling, Antonio Juarez, Jesper Pedersen, Jens Petersen, Marleen Bruijne, "Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks." Medical Image Analysis, 2020.
Locomotor deficits in ALS mice are paralleled by loss of V1-interneuron-connections onto fast motor neurons
Published in bioRxiv (Preprint. Under review), 2020
Recommended citation: Ilary Allodi, Roser Montanana-Rosell, Raghavendra Selvan, Peter Low, Ole Kiehn, "Locomotor deficits in ALS mice are paralleled by loss of V1-interneuron-connections onto fast motor neurons." bioRxiv, 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
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.
Lung Segmentation from Chest X-rays using Variational Data Imputation
Published in ICML Workshop on The Art of Learning with Missing Values (Artemiss-2020), 2020
Recommended citation: Raghavendra Selvan, Erik Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai, "Lung Segmentation from Chest X-rays using Variational Data Imputation." ICML Workshop on The Art of Learning with Missing Values (Artemiss), 2020.
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Published in ICML Workshop on Challenges in Deploying and monitoring Machine Learning Systems, 2020
Recommended citation: Lasse F. Wolff Anthony, Benjamin Kanding, Raghavendra Selvan;Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models; ICML Workshop on Challenges in Deploying and monitoring Machine Learning Systems, 2020.
Uncertainty quantification in medical image segmentation with Normalizing Flows
Published in 11th International Workshop on Machine Learning in Medical Imaging, 2020
Recommended citation: Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai, "Uncertainty quantification in medical image segmentation with Normalizing Flows." 11th International Workshop on Machine Learning in Medical Imaging, 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
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.
Locally orderless tensor networks for classifying two- and three-dimensional medical images
Published in Arxiv (Preprint. Under review), 2020
Recommended citation: Raghavendra Selvan, Silas Ørting, Erik B Dam, "Locally orderless tensor networks for classifying two- and three-dimensional medical images." Arxiv, 2020.
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
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.
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
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.