Raghavendra Selvan

Raghavendra Selvan

Assistant Professor, Tenure Track Assistant Professor

Member of:


    1. 2021
    2. 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 articlepeer-review

    3. 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 articlepeer-review

    4. 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 articlepeer-review

    5. Published

      Carbon footprint driven deep learning model selection for medical imaging

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

      Research output: Contribution to conferencePaperResearchpeer-review

    6. 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

    7. 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 articlepeer-review

    8. 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 journalJournal articlepeer-review

    9. 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 journalConference articlepeer-review

    10. 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 proceedingArticle in proceedingsResearchpeer-review

    ID: 144763853