Raghavendra Selvan

Raghavendra Selvan

Tenure Track Assistant Professor

ORCID: 0000-0003-4302-0207

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  1. Published

    A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization

    Rahmathullah, A. S., Selvan, Raghav & Svensson, L., 15 Sep 2016, In: IEEE Transactions on Signal Processing. 64, 18, p. 4792-4804 13 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  2. Published

    A batch algorithm for estimating trajectories of point targets using expectation maximization

    Rahmathullah, A., Selvan, Raghav & Svensson, L., 2016, In: IEEE Transactions on Signal Processing. 64, 18, p. 4792-4804 13 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. 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 proceeding › Article in proceedings › Research › peer-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 journal › Journal article › Research › peer-review

  5. Bayesian tracking of multiple point targets using expectation maximization

    Selvan, Raghav, Aug 2015, Chalmers tekniska högskola. 110 p.

    Research output: Book/Report › Report › Research

  6. Published

    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 p.

    Research output: Working paper › Preprint › Research

  7. Published

    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, p. 506–516 (Lecture Notes in Computer Science, Vol. 13435).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Published

    Carbon footprint driven deep learning model selection for medical imaging

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

    Research output: Contribution to conference › Paper › Research › peer-review

  9. 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 conference › Paper › Research › peer-review

  10. 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 contribution › Research

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