Raghavendra Selvan
Tenure Track Adjunkt
Machine Learning
Universitetsparken 1
2100 København Ø
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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
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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
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Extracting tree structures in CT data by tracking multiple statistically ranked hypotheses
Selvan, Raghav, Petersen, Jens, Pedersen, J. H. & de Bruijne, Marleen, 18 okt. 2019, I: Medical Physics. 46, 10, s. 4431-4440Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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
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Locally orderless tensor networks for classifying two- and three-dimensional medical images
Selvan, Raghav, Ørting, S. & Dam, Erik Bjørnager, 2021, I: The Journal of Machine Learning for Biomedical Imaging. 5, SI, s. 1-21Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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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
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Lung Segmentation from Chest X-rays using Variational Data Imputation
Selvan, Raghav, Dam, Erik Bjørnager, Rischel, S., Sheng, K., Nielsen, Mads & Pai, A., 20 maj 2020, I: OpenReview.net. 7 s.Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning
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Carbon footprint driven deep learning model selection for medical imaging
Selvan, Raghav, 2021, s. 1-3.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
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Multi-layered tensor networks for image classification
Selvan, Raghav, Ørting, S. & Dam, Erik Bjørnager, 2020. 6 s.Publikation: Konferencebidrag › Paper › Forskning
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
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