Raghavendra Selvan

Raghavendra Selvan

Tenure Track Adjunkt

ORCID: 0000-0003-4302-0207

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  1. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

  2. Udgivet

    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. (red.). Springer, s. 401-414 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12729 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. Udgivet

    Multi-layered tensor networks for image classification

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

    Publikation: Konferencebidrag › Paper › Forskning

  4. Udgivet

    Carbon footprint driven deep learning model selection for medical imaging

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

    Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

  5. Udgivet

    Lung Segmentation from Chest X-rays using Variational Data Imputation

    Selvan, Raghav, Dam, Erik Bjørnager, Rischel, S., Sheng, K., Nielsen, Mads & Pai, A., 20 maj 2020, I: OpenReview.net. 7 s.

    Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning

  6. Udgivet

    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.

    Publikation: Working paper › Preprint

  7. Udgivet

    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, s. 24-33 (Lecture Notes in Computer Science, Bind 13609).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  8. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  9. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  10. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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