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researcher

Daniel Rueckert

3 papers here

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

author position
  • last author1

Across the 1 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • q-bio.TO1
ORCID 0000-0002-5683-5889
same name
  • Daniel Rueckert — 60 papers, h 14
  • Daniel Rueckert — 14 papers, h 10
  • Daniel Rueckert — 13 papers, h 4
  • Daniel Rueckert — 9 papers, h 4
  • Daniel Rueckert — 6 papers, h 4

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
20162025
most citedWhite matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks

18 citations · 27 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025★ 2 cited

Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming

Jiazhen Pan, Bailiang Jian, Paul Hager +19

Large language models (LLMs) are increasingly used to answer health-related questions and support healthcare workflows, yet evidence for their safety still relies heavily on static…

q-bio.TO2017★ 18 cited

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks

R. Guerrero, C. Qin, O. Oktay +8

The accurate assessment of White matter hyperintensities (WMH) burden is of crucial importance for epidemiological studies to determine association between WMHs, cognitive and clin…

cs.CV2016★ 7 cited

DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks

Martin Rajchl, Matthew C. H. Lee, Ozan Oktay +8

In this paper, we propose DeepCut, a method to obtain pixelwise object segmentations given an image dataset labelled with bounding box annotations. It extends the approach of the w…

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