Raghavendra Selvan
Tenure Track Adjunkt
Machine Learning
Universitetsparken 1
2100 København Ø
- 2023
- 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
- 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
- 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
- Udgivet
Predicting lake bathymetry from the topography of the surrounding terrain using deep learning
Martinsen, K. T., Sand-Jensen, Kaj & Selvan, Raghav, 2023, I: Limnology and Oceanography: Methods. 21, 10, s. 625-636Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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, I: Imaging Neuroscience. 1, s. 1-15Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2022
- Udgivet
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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
- 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 › Forskning
- 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
ID: 144763853
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Extraction of Airways from Volumetric Data
Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
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Segmentation of roots in soil with U-Net
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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