Raghavendra Selvan
Title
Cited by
Cited by
Year
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
LFW Anthony, B Kanding, R Selvan
ICML Workshop on Challenges in Deploying and monitoring Machine Learning Systems, 2020
482020
Segmentation of roots in soil with U-Net
AG Smith, J Petersen, R Selvan, CR Rasmussen
Journal of Plant Methods, 2019
372019
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
E Jimenez-Solem, TS Petersen, C Hansen, C Hansen, C Lioma, C Igel, ...
Scientific Reports 11 (1), 1-12, 2021
242021
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
AGU Juarez, R Selvan, Z Saghir, M de Bruijne
Machine Learning in Medical Imaging, MLMI 2019, 583-591, 2019
232019
Lung Segmentation from Chest X-rays using Variational Data Imputation
R Selvan, EB Dam, NS Detlefsen, S Rischel, K Sheng, M Nielsen, A Pai
ICML Workshop on Learning from Missing Values (Artemiss), 2020
222020
Graph refinement based tree extraction using mean-field networks and graph neural networks
R Selvan, T Kipf, M Welling, JH Pedersen, J Petersen, M de Bruijne
arXiv preprint arXiv:1811.08674, 2018
162018
Extraction of Airways using Graph Neural Networks
R Selvan, T Kipf, M Welling, JH Pedersen, J Petersen, M de Bruijne
1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam., 2018
152018
Mean field network based graph refinement with application to airway tree extraction
R Selvan, M Welling, JH Pedersen, J Petersen, M de Bruijne
21st Conference on Medical Image Computing & Computer Assisted Interventioná…, 2018
102018
Tensor Networks for Medical Image Classification
R Selvan, EB Dam
Medical Imaging with Deep Learning, 721-732, 2020
92020
Graph refinement based airway extraction using mean-field networks and graph neural networks
R Selvan, T Kipf, M Welling, AGU Juarez, JH Pedersen, J Petersen, ...
Medical Image Analysis 64, 101751, 2020
82020
Extraction of airways with probabilistic state-space models and Bayesian smoothing
R Selvan, J Petersen, JH Pedersen, M de Bruijne
Graphs in Biomedical Image Analysis, Computational Anatomy and Imagingá…, 2017
72017
Extracting tree-structures in CT data by tracking multiple statistically ranked hypotheses
R Selvan, J Petersen, JH Pedersen, M de Bruijne
The International Journal of Medical Physics Research and Practice 46 (10á…, 2019
62019
A batch algorithm for estimating trajectories of point targets using expectation maximization
AS Rahmathullah, R Selvan, L Svensson
IEEE Transactions on Signal Processing 64 (18), 4792-4804, 2016
62016
Locally orderless tensor networks for classifying two-and three-dimensional medical images
R Selvan, S ěrting, EB Dam
The Journal of Machine Learning for Biomedical Imaging (MELBA) 1 (Specialá…, 2020
42020
Uncertainty quantification in medical image segmentation with Normalizing Flows
R Selvan, F Faye, J Middleton, A Pai
Machine Learning in Medical Imaging. MLMI 2020. 12346 (LNCS. Springer, Chamá…, 2020
32020
Locomotor deficits in a mouse model of ALS are paralleled by loss of V1-interneuron connections onto fast motor neurons
I Allodi, R Monta˝ana-Rosell, R Selvan, P L÷w, O Kiehn
Nature Communications 12 (1), 1-18, 2021
22021
Extraction of airway trees using multiple hypothesis tracking and template matching
R Selvan, J Petersen, JH Pedersen, M de Bruijne
The Sixth International Workshop on Pulmonary Image Analysis. MICCAI, 2016., 2016
22016
Detection of foraging behavior from accelerometer data using U-Net type convolutional networks
MC Ng˘, R Selvan, O Tervo, MP Heide-J°rgensen, S Ditlevsen
Ecological Informatics 62 (1574-9541), 101275, 2021
12021
Carbon footprint driven deep learning model selection for medical imaging
R Selvan
International Conference on Medical Imaging with Deep Learning, MIDL (Shortá…, 2021
12021
Segmenting two-dimensional structures with strided tensor networks
R Selvan, EB Dam, J Petersen
27th international conference on Information Processing in Medical Imagingá…, 2021
12021
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Articles 1–20