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Segmenting two-dimensional structures with strided tensor networks
Tensor networks provide an efficient approximation of operations involvi...
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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...
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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...
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Multi-layered tensor networks for image classification
The recently introduced locally orderless tensor network (LoTeNet) for s...
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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...
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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 ...
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Uncertainty quantification in medical image segmentation with Normalizing Flows
Medical image segmentation is inherently an ambiguous task due to factor...
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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 ...
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Tensor Networks for Medical Image Classification
With the increasing adoption of machine learning tools like neural netwo...
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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 ...
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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...
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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...
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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...
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Extraction of Airways using Graph Neural Networks
We present extraction of tree structures, such as airways, from image da...
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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...
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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...
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Extraction of airway trees using multiple hypothesis tracking and template matching
Knowledge of airway tree morphology has important clinical applications ...
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