◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Marie Beisemann

3 papers here

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

author position
  • middle author3

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

fields
  • cs.LG1
  • eess.IV1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

most citedPredicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks

9 citations · 11 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.NC2021★ 1 cited

Genetic, Individual, and Familial Risk Correlates of Brain Network Controllability in Major Depressive Disorder

Tim Hahn, Nils R. Winter, Jan Ernsting +27

Background: A therapeutic intervention in psychiatry can be viewed as an attempt to influence the brain's large-scale, dynamic network state transitions underlying cognition and be…

cs.LG2021★ 1 cited

An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling

Tim Hahn, Jan Ernsting, Nils R. Winter +31

The deviation between chronological age and age predicted from neuroimaging data has been identified as a sensitive risk-marker of cross-disorder brain changes, growing into a corn…

eess.IV2021★ 9 cited

Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks

Lukas Fisch, Jan Ernsting, Nils R. Winter +33

Age prediction based on Magnetic Resonance Imaging (MRI) data of the brain is a biomarker to quantify the progress of brain diseases and aging. Current approaches rely on preparing…

◍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.