Raghavendra Selvan

Raghavendra Selvan

Adjunkt, Tenure Track Adjunkt

Medlem af:


    1. 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 tidsskriftTidsskriftartikelfagfællebedømt

    2. Udgivet

      Segmentation of roots in soil with U-Net

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    3. Udgivet

      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, s. 721-732 (Proceedings of Machine Learning Research, Bind 121).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    4. Udgivet

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

      Selvan, Raghav, Petersen, Jens, Pedersen, J. H. & de Bruijne, Marleen, 18 okt. 2019, I: Medical Physics. 46, 10, s. 4431-4440

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    5. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    6. 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 tidsskriftKonferenceartikelfagfællebedømt

    7. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    8. Udgivet

      Multi-layered tensor networks for image classification

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

      Publikation: KonferencebidragPaperForskning

    9. Udgivet

      Carbon footprint driven deep learning model selection for medical imaging

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

      Publikation: KonferencebidragPaperForskningfagfællebedømt

    10. 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 tidsskriftKonferenceartikel

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