Raghavendra Selvan
Tenure Track Assistant Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 2024
- 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
- 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
- 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
- 2023
- Published
- 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
- 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
- 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
- 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
- Published
Predicting lake bathymetry from the topography of the surrounding terrain using deep learning
Martinsen, K. T., Sand-Jensen, Kaj & Selvan, Raghav, 2023, In: Limnology and Oceanography: Methods. 21, 10, p. 625-636Research output: Contribution to journal › Journal article › Research › peer-review
- 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. 1-15Research output: Contribution to journal › Journal article › Research › peer-review
ID: 144763853
Most downloads
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479
downloads
Extraction of Airways from Volumetric Data
Research output: Book/Report › Ph.D. thesis › Research
Published -
239
downloads
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
187
downloads
Segmentation of roots in soil with U-Net
Research output: Contribution to journal › Journal article › Research › peer-review
Published