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Health and Safety Authority

Ireland

1 paper here28 citations across 1
fields
  • eess.IV1
ROR 00sx2c320OpenAlex

affiliations via OpenAlex

most citedSPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation

28 citations

researchers with a paper here
  • A. Sekuboyina1 · h 28
  • B. Endemann1 · h 5
  • Benjamin Keinert1 · h 1
  • Bjoern H Menze1 · h 71
  • Daniel Rueckert1 · h 14
  • Felix Streckenbach1 · h 7
  • F. Kofler1 · h 28
  • Hanna Schon1 · h 1
  • Hendrik Moller1 · h 4
  • J. Kirschke1 · h 45
  • Joachim Schmitt1 · h 2
  • Matan Atad1 · h 7
collaborating institutions
  • Charité - Universitätsmedizin BerlinDE1 paper
  • Helmholtz MunichDE1 paper
  • Humboldt-Universität zu BerlinDE1 paper
  • Imperial College LondonGB1 paper
  • Max Delbrück CenterDE1 paper
  • Technical University of MunichDE1 paper
  • Translational Research in OncologyCA1 paper
  • TUM KlinikumDE1 paper
  • University Hospital AugsburgDE1 paper
  • University of AugsburgDE1 paper
  • University of RostockDE1 paper
  • University of WürzburgDE1 paper

1 paper

eess.IV2024★ 28 cited

SPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation

Hendrik Möller, Robert Graf, Joachim Schmitt +16

Purpose. To present SPINEPS, an open-source deep learning approach for semantic and instance segmentation of 14 spinal structures (ten vertebra substructures, intervertebral discs,…

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