Raghavendra Selvan

Raghavendra Selvan

Assistant Professor, Tenure Track Assistant Professor

Member of:


    1. 2022
    2. 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

    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 articlepeer-review

    4. 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 proceedingArticle in proceedingsResearchpeer-review

    5. Published
    6. 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

    7. Published

      Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods

      Schön, Julian Elisha, Selvan, Raghav & Petersen, Jens, 2022, Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Springer, p. 24-33 (Lecture Notes in Computer Science, Vol. 13609).

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

    8. Published

      Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks

      Selvan, Raghav, Dam, Erik Bjørnager, Flensborg, S. A. & Petersen, Jens, 2022, In: The Journal of Machine Learning for Biomedical Imaging. 2022, p. 1-24 005.

      Research output: Contribution to journalJournal articlepeer-review

    9. Published

    ID: 144763853