Raghavendra Selvan

Raghavendra Selvan

Tenure Track Adjunkt

ORCID: 0000-0003-4302-0207

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  1. 2021
  2. 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

  3. Udgivet

    Carbon footprint driven deep learning model selection for medical imaging

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

    Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

  4. 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

  5. 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

  6. 2022
  7. Udgivet

    Extracting structural motifs from pair distribution function data of nanostructures using explainable machine learning

    Anker, Andy Sode, Kjaer, E. T. S., Juelsholt, M., Christiansen, T. L., Skjaervo, S. L., Jorgensen, M. R. V., Kantor, I., Sorensen, D. R., Billinge, S. J. L., Selvan, Raghav & Jensen, Kirsten Marie Ørnsbjerg, 1 okt. 2022, I: npj Computational Materials. 8, 1, 11 s., 213.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  8. Udgivet

    Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space

    Antanavicius, J., Leiras, Roberto & Selvan, Raghav, 2022, Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings. Hering, A., Schnabel, J., Zhang, M., Ferrante, E., Heinrich, M. & Rueckert, D. (red.). 1 udg. Springer Science and Business Media Deutschland GmbH, s. 166-176 11 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13386 LNCS).

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

  9. Udgivet

    Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search

    Bakhtiarifard, Pedram, Igel, Christian & Selvan, Raghav, 12 okt. 2022, arxiv.org, 13 s.

    Publikation: Working paper › Preprint › Forskning

  10. Udgivet

    Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation

    Boserup, Nicklas & Selvan, Raghav, 2022, arxiv.org, 15 s.

    Publikation: Working paper › Preprint › Forskning

  11. Udgivet

    Stabilization of V1 interneuron-motor neuron connectivity ameliorates motor phenotype in a mouse model of ALS

    Mora, S., Friis, R. V. H., Stuckert, A., Noes-Holt, Gith, Montañana-Rosell, Roser, Sørensen, Andreas Toft, Selvan, Raghav & Allodi, Ilary, 2022, 10 s. (bioRxiv).

    Publikation: Working paper › Preprint › Forskning

  12. 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

  13. Udgivet

    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, s. 506–516 (Lecture Notes in Computer Science, Bind 13435).

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

  14. Udgivet

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

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  15. 2023
  16. Udgivet

    Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry

    Anker, Andy Sode, Butler, K. T., Selvan, Raghav & Jensen, Kirsten Marie Ørnsbjerg, 2023, I: Chemical Science. s. 14003–14019 17 s.

    Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

  17. Udgivet

    Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation

    Boserup, Nicklas & Selvan, Raghav, 2023, Proceedings of the Northern Lights Deep Learning Workshop 2023. Septentrio Academic Publishing, 8 s. (Proceedings of the Northern Lights Deep Learning Workshop, Bind 4).

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

  18. Udgivet

    Pedunculopontine Chx10 + neurons control global motor arrest in mice.

    Goñi Erro, Haizea, Selvan, Raghav, Caggiano, V., Leiras, Roberto & Kiehn, Ole, 2023, I: Nature Neuroscience. 26, s. 1516–1528 43 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  19. Udgivet

    DeepStruc: towards structure solution from pair distribution function data using deep generative models

    Kjær, E. T. S., Anker, Andy Sode, Weng, M. N., Billinge, S. J. L., Selvan, Raghav & Jensen, Kirsten Marie Ørnsbjerg, 2023, I: Digital Discovery. 2, 1, s. 69-80 12 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  20. Udgivet

    Predicting lake bathymetry from the topography of the surrounding terrain using deep learning

    Martinsen, K. T., Sand-Jensen, Kaj & Selvan, Raghav, 2023, I: Limnology and Oceanography: Methods. 21, 10, s. 625-636

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  21. 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 › Forskning

  22. Udgivet

    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, I: Imaging Neuroscience. 1, s. 1-15

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  23. 2024
  24. Udgivet

    CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning

    Friis-Jensen, Ulrik, Johansen, Frederik Lizak, Anker, Andy Sode, Dam, Erik Bjørnager, Jensen, K. M. Ø. & Selvan, Raghav, 2024, arxiv.org, 16 s.

    Publikation: Working paper › Preprint › Forskning

  25. Udgivet

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

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

    Publikation: Working paper › Preprint › Forskning

  26. Udgivet

    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, s. 325-335 Chapter 29. (Lecture Notes in Computer Science, Bind 14394).

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

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ID: 144763853