Raghavendra Selvan

Raghavendra Selvan

Tenure Track Assistant Professor

ORCID: 0000-0003-4302-0207

Publication year:
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1 - 47 out of 47Page size: 100
  1. 2024
  2. Published

    Equity through Access: A Case for Small-scale Deep Learning

    Selvan, Raghav, Pepin, B., Igel, Christian, Samuel, G. & Dam, Erik Bjørnager, 19 Mar 2024.

    Research output: Working paper › Preprint › Research

  3. 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

  4. Published

    Operating Critical Machine Learning Models in Resource Constrained Regimes

    Selvan, Raghav, Schön, Julian Elisha & Dam, Erik Bjørnager, 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops: MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings. Springer, p. 325-335 Chapter 29. (Lecture Notes in Computer Science, Vol. 14394).

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

  5. 2023
  6. Published

    Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis

    Schön, Julian Elisha, Selvan, Raghav, Nygård, L., Vogelius, Ivan R. & Petersen, Jens, 13 Jan 2023, arxiv.org.

    Research output: Working paper › Preprint › Research

  7. Published

    DeepStruc: towards structure solution from pair distribution function data using deep generative models

    Kjær, E. T. S., Anker, Andy Sode, Weng, M. N., Billinge, S. J. L., Selvan, Raghav & Jensen, Kirsten Marie Ørnsbjerg, 2023, In: Digital Discovery. 2, 1, p. 69-80 12 p.

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

  8. Published

    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 p. (Proceedings of the Northern Lights Deep Learning Workshop, Vol. 4).

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

  9. Published

    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, In: Chemical Science. p. 14003–14019 17 p.

    Research output: Contribution to journal › Review › Research › peer-review

  10. Published

    Pedunculopontine Chx10 + neurons control global motor arrest in mice.

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

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

  11. Published

    Predicting lake bathymetry from the topography of the surrounding terrain using deep learning

    Martinsen, Kenneth Thorø, Sand-Jensen, Kaj & Selvan, Raghav, 2023, In: Limnology and Oceanography: Methods. 21, 10, p. 625-636

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

  12. Published

    Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging

    Souter, N. E., Lannelongue, L., Samuel, G., Racey, C., Colling, L. J., Bhagwat, N., Selvan, Raghav & Rae, C. L., 2023, In: Imaging Neuroscience. 1, p. 1-15

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

  13. 2022
  14. 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 paper › Preprint › Research

  15. 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 journal › Journal article › Research › peer-review

  16. 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

  17. Published

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

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

    Research output: Working paper › Preprint › Research

  18. 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 proceeding › Article in proceedings › Research › peer-review

  19. 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 proceeding › Article in proceedings › Research › peer-review

  20. 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 journal › Journal article › Research › peer-review

  21. Published

    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 p. (bioRxiv).

    Research output: Working paper › Preprint › Research

  22. 2021
  23. Published

    Locomotor deficits in a mouse model of ALS are paralleled by loss of V1-interneuron connections onto fast motor neurons

    Allodi, Ilary, Montañana-Rosell, Roser, Selvan, Raghav, Löw, P. & Kiehn, Ole, 31 May 2021, In: Nature Communications. 12, 1, 17 p., 3251.

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

  24. Published

    Detection of foraging behavior from accelerometer data using U-Net type convolutional networks

    Ngô, M. C., Selvan, Raghav, Tervo, O., Heide-Jørgensen, M. P. & Ditlevsen, Susanne, 6 Jan 2021, In: Ecological Informatics. 67, 12 p., 101275.

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

  25. 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

  26. 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

  27. Published

    Deep ensemble model for segmenting microscopy images in the presence of limited labeled data

    Kaminski, J. M., Allodi, I., Montañana-Rosell, Roser, Selvan, Raghav & Kiehn, O., 2021, International Conference on Medical Imaging with Deep Learning, MIDL (Short Paper). 3 p.

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

  28. Published

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In: Scientific Reports. 11, 1, 12 p., 3246.

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

  29. Published

    Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals

    Rydhmer, Klas Karl Gustav & Selvan, Raghav, 2021, In: Ecological Informatics. 66, 9 p., 101456.

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

  30. Published

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

    Selvan, Raghav, Ørting, S. & Dam, Erik Bjørnager, 2021, In: The Journal of Machine Learning for Biomedical Imaging. 5, SI, p. 1-21

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

  31. Published

    Segmenting Two-Dimensional Structures with Strided Tensor Networks

    Selvan, Raghav, Dam, Erik Bjørnager & Petersen, Jens, 2021, Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Proceedings. Feragen, A., Sommer, S., Schnabel, J. & Nielsen, M. (eds.). Springer, p. 401-414 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12729 LNCS).

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

  32. 2020
  33. 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

  34. Published

    Lung Segmentation from Chest X-rays using Variational Data Imputation

    Selvan, Raghav, Dam, Erik Bjørnager, Rischel, S., Sheng, K., Nielsen, Mads & Pai, A., 20 May 2020, In: OpenReview.net. 7 p.

    Research output: Contribution to journal › Conference article › Research

  35. 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, 6-8 July 2020, Montréal, QC, Canada. PMLR, p. 721-732 (Proceedings of Machine Learning Research, Vol. 121).

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

  36. 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

  37. 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 journal › Journal article › Research › peer-review

  38. Published

    Multi-layered tensor networks for image classification

    Selvan, Raghav, Ørting, S. & Dam, Erik Bjørnager, 2020. 6 p.

    Research output: Contribution to conference › Paper › Research

  39. Published

    Segmentation of roots in soil with U-Net

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

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

  40. Published

    Uncertainty quantification in medical image segmentation with normalizing flows

    Selvan, Raghav, Faye, F., Middleton, Jon Anthony & Pai, A., 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 proceeding › Article in proceedings › Research › peer-review

  41. 2019
  42. 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 journal › Journal article › Research › peer-review

  43. 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

  44. 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 journal › Journal article › Research › peer-review

  45. 2018
  46. Published

    Extraction of Airways from Volumetric Data

    Selvan, Raghav, 2018, Department of Computer Science, Faculty of Science, University of Copenhagen. 94 p.

    Research output: Book/Report › Ph.D. thesis › Research

  47. Published

    Extraction of Airways using Graph Neural Networks

    Selvan, Raghav, Kipf, T., Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018. 3 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  48. Published

    Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction

    Selvan, Raghav, Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018, Medical Image Computingand Computer AssistedIntervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16–20, 2018, Proceedings, Part II. Frangi, A. F., Schnabel, J. A., Davatzikos, C., Alberola-López, C. & Fichtinger, G. (eds.). Springer, p. 750-758 (Lecture notes in computer science, Vol. 11071).

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

  49. 2017
  50. Published

    Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing

    Selvan, Raghav, Petersen, Jens, Pedersen, J. J. H. & de Bruijne, Marleen, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, M. J., Arbel, T., Ferrante, E., Pennec, X., Dalca, A. V., Parisot, S., Joshi, S., Batmanghelich, N. K., Sotiras, A., Nielsen, M., Sabuncu, M. R., Fletcher, T., Shen, L., Durrleman, S. & Sommer, S. (eds.). Springer, p. 53-63 (Lecture notes in computer science, Vol. 10551).

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

  51. 2016
  52. 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

  53. 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

  54. Published

    Extraction of airway trees using multiple hypothesis tracking and template matching

    Selvan, Raghav, Petersen, Jens, Pedersen, J. J. H. & de Bruijne, Marleen, 2016, The Sixth International Workshop on Pulmonary Image Analysis: Athens, Greece - October 21, 2016. Beichel, R. R., Farahani, K., Jacobs, C., Kabus, S., Kiraly, A. P., Kuhnigk, J-M., McClelland, J. R., Mori, K., Petersen, J. & Rit, S. (eds.). Create Space Independent Publishing Platform, p. 43-54 12 p.

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

  55. Published

    Multiple hypothesis tracking based extraction of airway trees from CT data: using statistical ranking of template-matched hypotheses

    Selvan, Raghav, Petersen, Jens & de Bruijne, Marleen, 2016. 1 p.

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

  56. 2015

  57. Bayesian tracking of multiple point targets using expectation maximization

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

    Research output: Book/Report › Report › Research

ID: 144763853