Raghavendra Selvan

Raghavendra Selvan

Tenure Track Assistant Professor

ORCID: 0000-0003-4302-0207

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  1. Published

    Extraction of Airways from Volumetric Data

    Selvan, Raghav, 2018, Department of Computer Science, Faculty of Science, University of Copenhagen. 94 p.

    Research output: Book/Report › Ph.D. thesis › Research

  2. Published

    Multiple hypothesis tracking based extraction of airway trees from CT data: using statistical ranking of template-matched hypotheses

    Selvan, Raghav, Petersen, Jens & de Bruijne, Marleen, 2016. 1 p.

    Research output: Contribution to conference › Poster › Research › peer-review

  3. Published

    A batch algorithm for estimating trajectories of point targets using expectation maximization

    Rahmathullah, A., Selvan, Raghav & Svensson, L., 2016, In: IEEE Transactions on Signal Processing. 64, 18, p. 4792-4804 13 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. Published

    A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization

    Rahmathullah, A. S., Selvan, Raghav & Svensson, L., 15 Sep 2016, In: IEEE Transactions on Signal Processing. 64, 18, p. 4792-4804 13 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals

    Rydhmer, Klas Karl Gustav & Selvan, Raghav, 2021, In: Ecological Informatics. 66, 9 p., 101456.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis

    Schön, Julian Elisha, Selvan, Raghav, Nygård, L., Vogelius, Ivan R. & Petersen, Jens, 13 Jan 2023, arxiv.org.

    Research output: Working paper › Preprint › Research

  7. Published

    Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods

    Schön, Julian Elisha, Selvan, Raghav & Petersen, Jens, 2022, Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Springer, p. 24-33 (Lecture Notes in Computer Science, Vol. 13609).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Published

    Tensor Networks for Medical Image Classification

    Selvan, Raghav & Dam, Erik Bjørnager, 21 Apr 2020, International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada. PMLR, p. 721-732 (Proceedings of Machine Learning Research, Vol. 121).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. Published

    Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks

    Selvan, Raghav, Dam, Erik Bjørnager, Flensborg, S. A. & Petersen, Jens, 2022, In: The Journal of Machine Learning for Biomedical Imaging. 2022, p. 1-24 005.

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. Published

    Equity through Access: A Case for Small-scale Deep Learning

    Selvan, Raghav, Pepin, B., Igel, Christian, Samuel, G. & Dam, Erik Bjørnager, 19 Mar 2024.

    Research output: Working paper › Preprint › Research

  11. Published

    Operating Critical Machine Learning Models in Resource Constrained Regimes

    Selvan, Raghav, Schön, Julian Elisha & Dam, Erik Bjørnager, 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops: MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings. Springer, p. 325-335 Chapter 29. (Lecture Notes in Computer Science, Vol. 14394).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  12. Published

    Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks

    Selvan, Raghav, Kipf, T., Welling, M., Juarez, A. G., Pedersen, J. H., Petersen, Jens & de Bruijne, Marleen, 2020, In: Medical Image Analysis. 64, 12 p., 101751.

    Research output: Contribution to journal › Journal article › Research › peer-review

  13. Published

    Uncertainty quantification in medical image segmentation with normalizing flows

    Selvan, Raghav, Faye, F., Middleton, Jon Anthony & Pai, A., 2020, Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Springer, 12 p. (Lecture Notes in Computer Science, Vol. 12436).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  14. Published

    Extracting tree structures in CT data by tracking multiple statistically ranked hypotheses

    Selvan, Raghav, Petersen, Jens, Pedersen, J. H. & de Bruijne, Marleen, 18 Oct 2019, In: Medical Physics. 46, 10, p. 4431-4440

    Research output: Contribution to journal › Journal article › Research › peer-review

  15. Published

    Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

    Selvan, Raghav, Bhagwat, N., Anthony, L. F. W., Kanding, B. & Dam, Erik Bjørnager, 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference Singapore, September 18–22, 2022 Proceedings, Part V. Springer, p. 506–516 (Lecture Notes in Computer Science, Vol. 13435).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  16. Published

    Locally orderless tensor networks for classifying two- and three-dimensional medical images

    Selvan, Raghav, Ørting, S. & Dam, Erik Bjørnager, 2021, In: The Journal of Machine Learning for Biomedical Imaging. 5, SI, p. 1-21

    Research output: Contribution to journal › Conference article › Research › peer-review

  17. Published

    Segmenting Two-Dimensional Structures with Strided Tensor Networks

    Selvan, Raghav, Dam, Erik Bjørnager & Petersen, Jens, 2021, Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Proceedings. Feragen, A., Sommer, S., Schnabel, J. & Nielsen, M. (eds.). Springer, p. 401-414 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12729 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  18. Published

    Lung Segmentation from Chest X-rays using Variational Data Imputation

    Selvan, Raghav, Dam, Erik Bjørnager, Rischel, S., Sheng, K., Nielsen, Mads & Pai, A., 20 May 2020, In: OpenReview.net. 7 p.

    Research output: Contribution to journal › Conference article › Research

  19. Published

    Carbon footprint driven deep learning model selection for medical imaging

    Selvan, Raghav, 2021, p. 1-3.

    Research output: Contribution to conference › Paper › Research › peer-review

  20. Published

    Multi-layered tensor networks for image classification

    Selvan, Raghav, Ørting, S. & Dam, Erik Bjørnager, 2020. 6 p.

    Research output: Contribution to conference › Paper › Research

  21. Published

    Segmentation of roots in soil with U-Net

    Smith, Abraham George, Petersen, Jens, Selvan, Raghav & Rasmussen, Camilla Ruø, 2020, In: Plant Methods. 16, p. 1-15 13.

    Research output: Contribution to journal › Journal article › Research › peer-review

  22. Published

    Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging

    Souter, N. E., Lannelongue, L., Samuel, G., Racey, C., Colling, L. J., Bhagwat, N., Selvan, Raghav & Rae, C. L., 2023, In: Imaging Neuroscience. 1, p. 1-15

    Research output: Contribution to journal › Journal article › Research › peer-review

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