Raghavendra Selvan
Tenure Track Adjunkt
Machine Learning
Universitetsparken 1
2100 København Ø
- 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
Segmentation of roots in soil with U-Net
Smith, Abraham George, Petersen, Jens, Selvan, Raghav & Rasmussen, Camilla Ruø, 2020, I: Plant Methods. 16, s. 1-15 13.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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. (red.). Springer, s. 401-414 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12729 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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
- 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
- Udgivet
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, s. 721-732 (Proceedings of Machine Learning Research, Bind 121).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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 s. (Lecture Notes in Computer Science, Bind 12436).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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