Search Results for author: Taro Langner

Found 7 papers, 6 papers with code

MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRI

1 code implementation22 Jun 2021 Taro Langner, Andrés Martínez Mora, Robin Strand, Håkan Ahlström, Joel Kullberg

UK Biobank (UKB) conducts large-scale examinations of more than half a million volunteers, collecting health-related information on genetics, lifestyle, blood biochemistry, and more.

regression

Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI

no code implementations17 May 2021 Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg

Large-scale medical studies such as the UK Biobank examine thousands of volunteer participants with medical imaging techniques.

regression

Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI

1 code implementation18 Jan 2021 Taro Langner, Fredrik K. Gustafsson, Benny Avelin, Robin Strand, Håkan Ahlström, Joel Kullberg

The results indicate that deep regression ensembles could ultimately provide automated, uncertainty-aware measurements of body composition for more than 120, 000 UK Biobank neck-to-knee body MRI that are to be acquired within the coming years.

regression Uncertainty Quantification

Large-scale inference of liver fat with neural networks on UK Biobank body MRI

1 code implementation30 Jun 2020 Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg

These values play an important role in metabolic disease, but are only available for a minority of imaged subjects as their collection requires the careful work of image analysts on dedicated liver MRI.

Large-scale biometry with interpretable neural network regression on UK Biobank body MRI

1 code implementation17 Feb 2020 Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg

In a large-scale medical examination, the UK Biobank study has successfully imaged more than 32, 000 volunteer participants with magnetic resonance imaging (MRI).

Anatomy regression

Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI

1 code implementation26 Jun 2018 Taro Langner, Anders Hedström, Katharina Mörwald, Daniel Weghuber, Anders Forslund, Peter Bergsten, Håkan Ahlström, Joel Kullberg

Data of the study Tellus with 90 scans from a single center was used for a 10-fold cross-validation in which the most successful configuration for both networks was determined.

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