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researcher

Johan Verjans

Australian Institute for Machine Learning, University of Adelaide

14 papers hereh-index 344.4k citations82 works total

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

author position
  • middle author12
  • last author1

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • eess.IV5
affiliations
  • Australian Institute for Machine Learning, University of Adelaide
  • Royal Adelaide Hospital, Adelaide, Australia
Homepage

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedCNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification

26 citations · 77 across the 14 of their papers we have counts for

collaborators
Showing 2018Show all

1 paper · 1 filter

cs.CV2018

End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging

Gerard Snaauw, Dong Gong, Gabriel Maicas +4

Cardiac magnetic resonance (CMR) is used extensively in the diagnosis and management of cardiovascular disease. Deep learning methods have proven to deliver segmentation results co…

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