Raghavendra Selvan
Title
Cited by
Cited by
Year
Segmentation of roots in soil with U-Net
AG Smith, J Petersen, R Selvan, CR Rasmussen
Journal of Plant Methods, 2019
112019
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
92018
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 Intervention …, 2018
72018
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 Imaging …, 2017
62017
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
42016
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
32020
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 (10 …, 2019
32019
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
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, 101751, 2020
1*2020
Uncertainty quantification in medical image segmentation with Normalizing Flows
R Selvan, F Faye, J Middleton, A Pai
11th International Workshop on Machine Learning in Medical Imaging, 2020
12020
Characterising the Atomic Structure of Mono-Metallic Nanoparticles from X-Ray Scattering Data Using Conditional Generative Models
AS Anker, E TS Kjær, EB Dam, S JL Billinge, KMØ Jensen, R Selvan
16th International Workshop on Mining and Learning with Graphs, 2020
2020
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
2020
Tensor Networks for Medical Image Classification
R Selvan, EB Dam
International Conference on Medical Imaging with Deep Learning (MIDL) 131 …, 2020
2020
Locomotor deficits in ALS mice are paralleled by loss of V1-interneuron-connections onto fast motor neurons
I Allodi, R Montañana-Rosell, R Selvan, P Low, O Kiehn
bioRxiv, 2020
2020
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
AGU Juarez, R Selvan, Z Saghir, M de Bruijne
10th International Workshop on Machine Learning in Medical Imaging, 583-591, 2019
2019
Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies
J Petersen, AM Arias-Lorza, R Selvan, D Bos, A van der Lugt, ...
IEEE transactions on medical imaging 38 (7), 1559-1568, 2019
2019
Extraction of Airways from Volumetric Data
R Selvan
University of Copenhagen, Denmark, 2018
2018
Bayesian tracking of multiple point targets using expectation maximization
R Selvan
Chalmers University of Technology, Sweden, 2015
2015
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Articles 1–18