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researcher

Ben Glocker

Imperial College London

83 papers hereh-index 6228.5k citations237 works total

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

author position
  • first author1
  • middle author38
  • last author41

Across the 80 of 83 papers where every author was matched, so the position is known.

fields
  • cs.CV52
  • cs.LG11
  • eess.IV11
  • stat.ML5
  • cs.AI2
  • cs.CG1
affiliations
  • Imperial College London
Homepage
same name
  • Ben Glocker — 25 papers, h 9
  • Ben Glocker — 15 papers, h 5
  • Ben Glocker — 3 papers, h 2
  • Ben Glocker — 2 papers, h 3
  • Ben Glocker — 1 paper
  • Ben Glocker — 1 paper, h 1

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

activity
20162023
most citedMetrics reloaded: Recommendations for image analysis validation

469 citations · 1.2k across the 52 of their papers we have counts for

collaborators
Showing 2022 · eess.IVShow all

3 papers · 2 filters

eess.IV2022★ 1 cited

Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CT

Sam Ellis, Octavio E. Martinez Manzanera, Vasileios Baltatzis +6

GANs are able to model accurately the distribution of complex, high-dimensional datasets, e.g. images. This makes high-quality GANs useful for unsupervised anomaly detection in med…

eess.IV2022

Vector Quantisation for Robust Segmentation

Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler +2

The reliability of segmentation models in the medical domain depends on the model's robustness to perturbations in the input space. Robustness is a particular challenge in medical…

eess.IV2022

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation

Reuben Dorent, Aaron Kujawa, Marina Ivory +37

Domain Adaptation (DA) has recently raised strong interests in the medical imaging community. While a large variety of DA techniques has been proposed for image segmentation, most…

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