activity
20232026
most citedA 3D generative model of pathological multi-modal MR images and segmentations

8 citations · 8 across the 8 of their papers we have counts for

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6 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.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…

cs.CV2025

A methodology for clinically driven interactive segmentation evaluation

Parhom Esmaeili, Virginia Fernandez, Pedro Borges +3

Interactive segmentation is a promising strategy for building robust, generalisable algorithms for volumetric medical image segmentation. However, inconsistent and clinically unrea…

cs.CV2025

MR-CLIP: Efficient Metadata-Guided Learning of MRI Contrast Representations

Mehmet Yigit Avci, Pedro Borges, Paul Wright +3

Accurate interpretation of Magnetic Resonance Imaging scans in clinical systems is based on a precise understanding of image contrast. This contrast is primarily governed by acquis…

cs.CV2024

Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study

Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi +6

Stroke is a leading cause of disability and death. Effective treatment decisions require early and informative vascular imaging. 4D perfusion imaging is ideal but rarely available…