◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Taro Langner

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.CV1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

eess.IV2020

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

Taro Langner, Robin Strand, Håkan Ahlström +1

The UK Biobank Imaging Study has acquired medical scans of more than 40,000 volunteer participants. The resulting wealth of anatomical information has been made available for resea…

eess.IV2020

Kidney segmentation in neck-to-knee body MRI of 40,000 UK Biobank participants

Taro Langner, Andreas Östling, Lukas Maldonis +8

The UK Biobank is collecting extensive data on health-related characteristics of over half a million volunteers. The biological samples of blood and urine can provide valuable insi…

eess.IV2020

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

Taro Langner, Robin Strand, Håkan Ahlström +1

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

cs.CV2018

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

Taro Langner, Anders Hedström, Katharina Mörwald +5

Purpose: An approach for the automated segmentation of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) in multicenter water-fat MRI scans of the abdomen was inv…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.