Raghavendra Selvan

Raghavendra Selvan

Tenure Track Adjunkt

ORCID: 0000-0003-4302-0207

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  1. 2022
  2. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. 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 paper › Preprint

  4. Udgivet

    Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation

    Boserup, Nicklas & Selvan, Raghav, 2022, arxiv.org, 15 s.

    Publikation: Working paper › Preprint

  5. Udgivet

    Stabilization of V1 interneuron-motor neuron connectivity ameliorates motor phenotype in a mouse model of ALS

    Mora, S., Friis, R. V. H., Stuckert, A., Noes-Holt, Gith, Montañana-Rosell, Roser, Sørensen, Andreas Toft, Selvan, Raghav & Allodi, Ilary, 2022, 10 s. (bioRxiv).

    Publikation: Working paper › Preprint

  6. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  7. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  9. 2023
  10. Udgivet

    Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry

    Anker, Andy Sode, Butler, K. T., Selvan, Raghav & Jensen, Kirsten Marie Ørnsbjerg, 2023, I: Chemical Science. s. 14003–14019 17 s.

    Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

  11. Udgivet

    Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation

    Boserup, Nicklas & Selvan, Raghav, 2023, Proceedings of the Northern Lights Deep Learning Workshop 2023. Septentrio Academic Publishing, 8 s. (Proceedings of the Northern Lights Deep Learning Workshop, Bind 4).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  12. Udgivet

    Pedunculopontine Chx10 + neurons control global motor arrest in mice.

    Goñi Erro, Haizea, Selvan, Raghav, Caggiano, V., Leiras, Roberto & Kiehn, Ole, 2023, I: Nature Neuroscience. 26, s. 1516–1528 43 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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