Raghavendra Selvan

Raghavendra Selvan

Tenure Track Adjunkt


  1. 2022
  2. Udgivet

    Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search

    Bakhtiarifard, Pedram, Igel, Christian & Selvan, Raghav, 12 okt. 2022, arxiv.org, 13 s.

    Publikation: Working paperPreprintForskning

  3. Udgivet

    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 okt. 2022, I: npj Computational Materials. 8, 1, 11 s., 213.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. 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

  5. Udgivet
  6. Udgivet

    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. (red.). 1 udg. Springer Science and Business Media Deutschland GmbH, s. 166-176 11 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13386 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    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, s. 24-33 (Lecture Notes in Computer Science, Bind 13609).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. Udgivet

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

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  9. Udgivet

ID: 144763853