Raghavendra Selvan
Tenure Track Assistant Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- Published
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 May 2021, In: Nature Communications. 12, 1, 17 p., 3251.Research output: Contribution to journal › Journal article › 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
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 Oct 2022, In: npj Computational Materials. 8, 1, 11 p., 213.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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 2020Research output: Other contribution › Research
- Published
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. (eds.). 1 ed. Springer Science and Business Media Deutschland GmbH, p. 166-176 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13386 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Anthony, L. F. W., Kanding, B. & Selvan, Raghav, 2020. 11 p.Research output: Contribution to conference › Paper › Research › peer-review
- Published
- 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
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation
Boserup, Nicklas & Selvan, Raghav, 2022, arxiv.org, 15 p.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
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, In: Scientific Reports. 11, 1, 15 p., 16001.Research output: Contribution to journal › Journal article › 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
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 others, , 2021, In: Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, p. 583-591 (Lecture Notes in Computer Science, Vol. LNCS 11861).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
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
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 p. (bioRxiv).Research output: Working paper › Preprint › Research
- Published
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, In: Ecological Informatics. 67, 12 p., 101275.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: IEEE Transactions on Medical Imaging. 38, 7, p. 1559-1568 8599009.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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. (eds.). Springer, p. 53-63 (Lecture notes in computer science, Vol. 10551).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Extraction of Airways using Graph Neural Networks
Selvan, Raghav, Kipf, T., Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018. 3 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
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. (eds.). Springer, p. 750-758 (Lecture notes in computer science, Vol. 11071).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Extraction of Airways from Volumetric Data
Selvan, Raghav, 2018, Department of Computer Science, Faculty of Science, University of Copenhagen. 94 p.Research output: Book/Report › Ph.D. thesis › Research
- Published
ID: 144763853
Most downloads
-
479
downloads
Extraction of Airways from Volumetric Data
Research output: Book/Report › Ph.D. thesis › Research
Published -
238
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 -
181
downloads
Segmentation of roots in soil with U-Net
Research output: Contribution to journal › Journal article › Research › peer-review
Published