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J. Simpson

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.CV2
  • eess.IV1
same name
  • J. Simpson — 51 papers, h 31
  • J. Simpson — 35 papers, h 39
  • J. Simpson — 13 papers, h 23
  • J. Simpson — 7 papers, h 23
  • J. Simpson — 3 papers, h 4
  • J. Simpson — 3 papers, h 41

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDetecting Outliers with Poisson Image Interpolation

3 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2021

Can non-specialists provide high quality gold standard labels in challenging modalities?

Samuel Budd, Thomas Day, John Simpson +5

Probably yes. -- Supervised Deep Learning dominates performance scores for many computer vision tasks and defines the state-of-the-art. However, medical image analysis lags behind…

eess.IV2021★ 1 cited

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Samuel Budd, Matthew Sinclair, Thomas Day +11

Fetal ultrasound screening during pregnancy plays a vital role in the early detection of fetal malformations which have potential long-term health impacts. The level of skill requi…

cs.CV2021★ 3 cited

Detecting Outliers with Poisson Image Interpolation

Jeremy Tan, Benjamin Hou, Thomas Day +3

Supervised learning of every possible pathology is unrealistic for many primary care applications like health screening. Image anomaly detection methods that learn normal appearanc…

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