Raghavendra Selvan

Raghavendra Selvan

Assistant professor


Publication year:
  1. 2020
  2. Published

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

    Selvan, Raghav, Ørting, Silas Nyboe & Dam, Erik Bjørnager, 25 Sep 2020, In : arXiv.

    Research output: Contribution to journalJournal articleResearch

  3. Published

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

    Anthony, Lasse Frederik Wolff, Kanding, Benjamin Michael & Selvan, Raghav, 6 Jul 2020, ICML Workshop on "Challenges in Deploying and monitoring Machine Learning Systems". (arXiv).

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

  4. Published

    Lung Segmentation from Chest X-rays using Variational Data Imputation

    Selvan, Raghav, Dam, Erik Bjørnager, Rischel, S., Sheng, K., Nielsen, Mads & Pai, Akshay Sadananda Uppinakudru, 20 May 2020, ICML Workshop on Learning with Missing Values. (arXiv).

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

  5. Published

    Tensor Networks for Medical Image Classification

    Selvan, Raghav & Dam, Erik Bjørnager, 21 Apr 2020, International Conference on Medical Imaging with Deep Learning (MIDL), 2020. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  6. Published

    Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks

    Selvan, Raghav, Kipf, T., Welling, M., Juarez, A. G., Pedersen, J. H., Petersen, Jens & de Bruijne, Marleen, 2020, In : Medical Image Analysis. 64, 12 p., 101751.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

    Segmentation of roots in soil with U-Net

    Smith, Abraham George, Petersen, Jens, Selvan, Raghav & Rasmussen, C. R., 2020, In : Plant Methods. 16, p. 1-15 13.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Uncertainty quantification in medical image segmentation with normalizing flows

    Selvan, Raghav, Faye, F., Middleton, Jon Anthony & Pai, Akshay Sadananda Uppinakudru, 2020, Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Springer, 12 p. (Lecture Notes in Computer Science, Vol. 12436).

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

  9. 2019
  10. Published

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

    Selvan, Raghav, Petersen, Jens, Pedersen, J. H. & de Bruijne, Marleen, 18 Oct 2019, In : Medical Physics. 46, 10, p. 4431-4440

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. 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

  12. 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

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