Raghavendra Selvan

Raghavendra Selvan

Tenure Track Assistant Professor


  1. Published

    Locomotor deficits in a mouse model of ALS are paralleled by loss of V1-interneuron connections onto fast motor neurons

    Allodi, Ilary, Montañana-Rosell, Roser, Selvan, Raghav, Löw, P. & Kiehn, Ole, 31 May 2021, In: Nature Communications. 12, 1, 17 p., 3251.

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    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, In: Chemical Science. p. 14003–14019 17 p.

    Research output: Contribution to journalReviewResearchpeer-review

  3. Published

    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 Oct 2022, In: npj Computational Materials. 8, 1, 11 p., 213.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

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

    Anker, Andy Sode, Kjær, E. T. S., Dam, Erik Bjørnager, Billinge, S. J. L., Jensen, K. M. Ø. & Selvan, Raghav, 17 Jul 2020

    Research output: Other contributionResearch

  5. Published

    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. (eds.). 1 ed. Springer Science and Business Media Deutschland GmbH, p. 166-176 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13386 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

    Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

    Anthony, L. F. W., Kanding, B. & Selvan, Raghav, 2020. 11 p.

    Research output: Contribution to conferencePaperResearchpeer-review

  7. Published

    Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search

    Bakhtiarifard, Pedram, Igel, Christian & Selvan, Raghav, 12 Oct 2022, arxiv.org, 13 p.

    Research output: Working paperPreprintResearch

  8. Published

    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 p. (Proceedings of the Northern Lights Deep Learning Workshop, Vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. Published
  10. Published
  11. Published

    Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks

    Garcia-uceda, A., Selvan, Raghav, Saghir, Zaigham, Tiddens, H. A. W. M. & de Bruijne, Marleen, 2021, In: Scientific Reports. 11, 1, 15 p., 16001.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Published

    Pedunculopontine Chx10 + neurons control global motor arrest in mice.

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

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. Published

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In: Scientific Reports. 11, 1, 12 p., 3246.

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. Published

    A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs

    Juarez, A. G., Selvan, Raghav, Saghir, Zaigham & de Bruijne, Marleen, 22 Aug 2019, Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Springer, p. 583-591 (Lecture Notes in Computer Science, Vol. LNCS 11861).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  15. Published

    Deep ensemble model for segmenting microscopy images in the presence of limited labeled data

    Kaminski, J. M., Allodi, I., Montañana-Rosell, Roser, Selvan, Raghav & Kiehn, O., 2021, International Conference on Medical Imaging with Deep Learning, MIDL (Short Paper). 3 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  16. Published

    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, In: Digital Discovery. 2, 1, p. 69-80 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  17. Published

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

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

    Research output: Contribution to journalJournal articleResearchpeer-review

  18. Published
  19. Published

    Detection of foraging behavior from accelerometer data using U-Net type convolutional networks

    Ngô, M. C., Selvan, Raghav, Tervo, O., Heide-Jørgensen, M. P. & Ditlevsen, Susanne, 6 Jan 2021, In: Ecological Informatics. 67, 12 p., 101275.

    Research output: Contribution to journalJournal articleResearchpeer-review

  20. Published

    Increasing Accuracy of Optimal Surfaces Using Min-marginal Energies

    Petersen, Jens, Arias-Lorza, A. M., Selvan, Raghav, Bos, D., van der Lugt, A., Pedersen, J. H., Nielsen, Mads & de Bruijne, Marleen, 1 Jan 2019, In: IEEE Transactions on Medical Imaging. 38, 7, p. 1559-1568 8599009.

    Research output: Contribution to journalJournal articleResearchpeer-review

  21. Published

    Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing

    Selvan, Raghav, Petersen, Jens, Pedersen, J. J. H. & de Bruijne, Marleen, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, M. J., Arbel, T., Ferrante, E., Pennec, X., Dalca, A. V., Parisot, S., Joshi, S., Batmanghelich, N. K., Sotiras, A., Nielsen, M., Sabuncu, M. R., Fletcher, T., Shen, L., Durrleman, S. & Sommer, S. (eds.). Springer, p. 53-63 (Lecture notes in computer science, Vol. 10551).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  22. Published

    Extraction of Airways using Graph Neural Networks

    Selvan, Raghav, Kipf, T., Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018. 3 p.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  23. Published

    Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction

    Selvan, Raghav, Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018, Medical Image Computingand Computer AssistedIntervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16–20, 2018, Proceedings, Part II. Frangi, A. F., Schnabel, J. A., Davatzikos, C., Alberola-López, C. & Fichtinger, G. (eds.). Springer, p. 750-758 (Lecture notes in computer science, Vol. 11071).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  24. 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/ReportPh.D. thesisResearch

  25. Published
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