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German Center for Neurodegenerative Diseases

Germany

32 papers here1k citations across 32
fields
  • cs.CV10
  • eess.IV7
  • q-bio.NC4
  • physics.med-ph3
  • cs.LG2
  • q-bio.QM2
  • stat.ME2
  • q-bio.GN1
ROR 043j0f473OpenAlex

affiliations via OpenAlex

output
20142026
most citedDeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy

367 citations

researchers with a paper here
  • M. Reuter8 · h 45
  • S. Chatterjee7 · h 15
  • A. Nürnberger6 · h 31
  • O. Speck5 · h 60
  • David Kügler3 · h 7
  • M. Schirmer3 · h 23
  • A. W. Chung2 · h 12
  • B. Hensen2 · h 11
  • Chris J. Oates2
  • C. Wachinger2 · h 35
  • Dženan Zukić2 profiles2 · h 12
  • F. Wacker2 · h 44
collaborating institutions
  • Harvard UniversityUS13 papers
  • Massachusetts General HospitalUS11 papers
  • Athinoula A. Martinos Center for Biomedical ImagingUS8 papers
  • Otto-von-Guericke-Universität MagdeburgDE8 papers
  • Center for Behavioral Brain SciencesDE7 papers
  • Medizinische Hochschule HannoverDE4 papers
  • University of BonnDE4 papers
  • Boston Children's HospitalUS3 papers
  • Heidelberg UniversityDE3 papers
  • Human TechnopoleIT3 papers
  • Ludwig-Maximilians-Universität MünchenDE3 papers
  • Massachusetts Institute of TechnologyUS3 papers
Showing 2017Show all

1 paper · 1 filter

cs.CV2017★ 367 cited

DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy

Christian Wachinger, Martin Reuter, Tassilo Klein

We introduce DeepNAT, a 3D Deep convolutional neural network for the automatic segmentation of NeuroAnaTomy in T1-weighted magnetic resonance images. DeepNAT is an end-to-end learn…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.