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S. Ourselin

5 papers hereh-index 28 citations10 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • stat.AP1
same name
  • S. Ourselin — 141 papers, h 115
  • S. Ourselin — 11 papers, h 12
  • S. Ourselin — 8 papers, h 12
  • S. Ourselin — 2 papers, h 17
  • S. Ourselin — 2 papers, h 2
  • S. Ourselin — 1 paper, h 7

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Metadata Supervised Imaging Representations for Modelling and Controlling Acquisition Variability

Mehmet Yigit Avci, Pedro Borges, Virginia Fernandez +5

Biomedical imaging data exhibit substantial acquisition variability, where identical biological structures can appear markedly different due to differences in imaging devices, acqu…

cs.CV2026

CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation

Parhom Esmaeili, Chayanin Tangwiriyasakul, Eli Gibson +2

Interactive segmentation enables clinicians to guide annotation, but existing zero-shot models like nnInteractive fail to consistently reach expert-level performance across diverse…

cs.CV2025

DIST-CLIP: Arbitrary Metadata and Image Guided MRI Harmonization via Disentangled Anatomy-Contrast Representations

Mehmet Yigit Avci, Pedro Borges, Virginia Fernandez +4

Deep learning holds immense promise for transforming medical image analysis, yet its clinical generalization remains profoundly limited. A major barrier is data heterogeneity. This…

cs.CV2025

Metadata-Aligned 3D MRI Representations for Contrast Understanding and Quality Control

Mehmet Yigit Avci, Pedro Borges, Virginia Fernandez +4

Magnetic Resonance Imaging suffers from substantial data heterogeneity and the absence of standardized contrast labels across scanners, protocols, and institutions, which severely…

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