Raghavendra Selvan
Tenure Track Adjunkt
Machine Learning
Universitetsparken 1
2100 København Ø
- 2024
- Udgivet
- Udgivet
Equity through Access: A Case for Small-scale Deep Learning
Selvan, Raghav, Pepin, B., Igel, Christian, Samuel, G. & Dam, Erik Bjørnager, 19 mar. 2024.Publikation: Working paper › Preprint › Forskning
- Udgivet
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, s. 325-335 Chapter 29. (Lecture Notes in Computer Science, Bind 14394).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2023
- 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
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
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
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, I: Digital Discovery. 2, 1, s. 69-80 12 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
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- 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
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
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
- Udgivet
- 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
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 › Forskning
- Udgivet
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
- 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
Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks
Selvan, Raghav, Dam, Erik Bjørnager, Flensborg, S. A. & Petersen, Jens, 2022, I: The Journal of Machine Learning for Biomedical Imaging. 2022, s. 1-24 005.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2021
- Udgivet
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 maj 2021, I: Nature Communications. 12, 1, 17 s., 3251.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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, I: Scientific Reports. 11, 1, 15 s., 16001.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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 flere, , 2021, I: Scientific Reports. 11, 1, 12 s., 3246.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, I: Ecological Informatics. 67, 12 s., 101275.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals
Rydhmer, Klas Karl Gustav & Selvan, Raghav, 2021, I: Ecological Informatics. 66, 9 s., 101456.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Carbon footprint driven deep learning model selection for medical imaging
Selvan, Raghav, 2021, s. 1-3.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
- Udgivet
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
- 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
- 2020
- Udgivet
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. 2020Publikation: Andet › Andet bidrag › Forskning
- Udgivet
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Anthony, L. F. W., Kanding, B. & Selvan, Raghav, 2020. 11 s.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
- Udgivet
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, I: Medical Image Analysis. 64, 12 s., 101751.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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
- Udgivet
Multi-layered tensor networks for image classification
Selvan, Raghav, Ørting, S. & Dam, Erik Bjørnager, 2020. 6 s.Publikation: Konferencebidrag › Paper › Forskning
- 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
- 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
- 2019
- Udgivet
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, s. 583-591 (Lecture Notes in Computer Science, Bind LNCS 11861).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, I: IEEE Transactions on Medical Imaging. 38, 7, s. 1559-1568 8599009.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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
- 2018
- Udgivet
Extraction of Airways from Volumetric Data
Selvan, Raghav, 2018, Department of Computer Science, Faculty of Science, University of Copenhagen. 94 s.Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
- Udgivet
Extraction of Airways using Graph Neural Networks
Selvan, Raghav, Kipf, T., Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018. 3 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
- Udgivet
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. (red.). Springer, s. 750-758 (Lecture notes in computer science, Bind 11071).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2017
- Udgivet
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. (red.). Springer, s. 53-63 (Lecture notes in computer science, Bind 10551).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2016
- Udgivet
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. (red.). Create Space Independent Publishing Platform, s. 43-54 12 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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A batch algorithm for estimating trajectories of point targets using expectation maximization
Rahmathullah, A., Selvan, Raghav & Svensson, L., 2016, I: IEEE Transactions on Signal Processing. 64, 18, s. 4792-4804 13 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization
Rahmathullah, A. S., Selvan, Raghav & Svensson, L., 15 sep. 2016, I: IEEE Transactions on Signal Processing. 64, 18, s. 4792-4804 13 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2015
Bayesian tracking of multiple point targets using expectation maximization
Selvan, Raghav, aug. 2015, Chalmers tekniska högskola. 110 s.Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning
ID: 144763853
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Extraction of Airways from Volumetric Data
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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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