Raghavendra Selvan

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Københavns Uni

https://raghavian.github.io/

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Segmenting two-dimensional structures with strided tensor networks

Tensor networks provide an efficient approximation of operations involvi...
02/13/2021 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals

While insects are the largest and most diverse group of animals, constit...
02/10/2021 ∙ by Klas Rydhmer, et al. ∙ 0 ∙ share

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Detection of foraging behavior from accelerometer data using U-Net type convolutional networks

Narwhal is one of the most mysterious marine mammals, due to its isolate...
01/06/2021 ∙ by Manh Cuong Ngô, et al. ∙ 0 ∙ share

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Multi-layered tensor networks for image classification

The recently introduced locally orderless tensor network (LoTeNet) for s...
11/13/2020 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Locally orderless tensor networks for classifying two- and three-dimensional medical images

Tensor networks are factorisations of high rank tensors into networks of...
09/25/2020 ∙ by Raghavendra Selvan, et al. ∙ 10 ∙ share

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Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

Deep learning (DL) can achieve impressive results across a wide variety ...
07/06/2020 ∙ by Lasse F. Wolff Anthony, et al. ∙ 22 ∙ share

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Uncertainty quantification in medical image segmentation with Normalizing Flows

Medical image segmentation is inherently an ambiguous task due to factor...
06/04/2020 ∙ by Raghavendra Selvan, et al. ∙ 15 ∙ share

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Lung Segmentation from Chest X-rays using Variational Data Imputation

Pulmonary opacification is the inflammation in the lungs caused by many ...
05/20/2020 ∙ by Raghavendra Selvan, et al. ∙ 14 ∙ share

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Tensor Networks for Medical Image Classification

With the increasing adoption of machine learning tools like neural netwo...
04/21/2020 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs

We present an end-to-end deep learning segmentation method by combining ...
08/22/2019 ∙ by Antonio Garcia-Uceda Juarez, et al. ∙ 0 ∙ share

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Segmentation of Roots in Soil with U-Net

Plant root research can provide a way to attain stress-tolerant crops th...
02/28/2019 ∙ by Abraham George Smith, et al. ∙ 0 ∙ share

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Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks

Graph refinement, or the task of obtaining subgraphs of interest from ov...
11/21/2018 ∙ by Raghavendra Selvan, et al. ∙ 10 ∙ share

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Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses

In this work, we adapt a method based on multiple hypothesis tracking (M...
06/23/2018 ∙ by Raghavendra Selvan, et al. ∙ 2 ∙ share

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Extraction of Airways using Graph Neural Networks

We present extraction of tree structures, such as airways, from image da...
04/12/2018 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Mean Field Network based Graph Refinement with application to Airway Tree Extraction

We present tree extraction in 3D images as a graph refinement task, of o...
04/10/2018 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing

Segmenting tree structures is common in several image processing applica...
08/07/2017 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Extraction of airway trees using multiple hypothesis tracking and template matching

Knowledge of airway tree morphology has important clinical applications ...
11/24/2016 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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