Raghavendra Selvan
Tenure Track Assistant Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- Published
A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization
Rahmathullah, A. S., Selvan, Raghav & Svensson, L., 15 Sep 2016, In: IEEE Transactions on Signal Processing. 64, 18, p. 4792-4804 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
A batch algorithm for estimating trajectories of point targets using expectation maximization
Rahmathullah, A., Selvan, Raghav & Svensson, L., 2016, In: IEEE Transactions on Signal Processing. 64, 18, p. 4792-4804 13 p.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
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
Bayesian tracking of multiple point targets using expectation maximization
Selvan, Raghav, Aug 2015, Chalmers tekniska högskola. 110 p.Research output: Book/Report › Report › 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
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, p. 506–516 (Lecture Notes in Computer Science, Vol. 13435).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Carbon footprint driven deep learning model selection for medical imaging
Selvan, Raghav, 2021, p. 1-3.Research output: Contribution to conference › Paper › 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
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
ID: 144763853
Most downloads
-
479
downloads
Extraction of Airways from Volumetric Data
Research output: Book/Report › Ph.D. thesis › Research
Published -
240
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 -
187
downloads
Segmentation of roots in soil with U-Net
Research output: Contribution to journal › Journal article › Research › peer-review
Published