5 citations · 10 across the 10 of their papers we have counts for
5 papers · 1 filter
An Automated Framework for Large-Scale Graph-Based Cerebrovascular Analysis
Daniele Falcetta, Liane S. Canas, Lorenzo Suppa +5
We present CaravelMetrics, a computational framework for automated cerebrovascular analysis that models vessel morphology through skeletonization-derived graph representations. The…
LIHE: Linguistic Instance-Split Hyperbolic-Euclidean Framework for Generalized Weakly-Supervised Referring Expression Comprehension
Xianglong Shi, Silin Cheng, Sirui Zhao +4
Existing Weakly-Supervised Referring Expression Comprehension (WREC) methods, while effective, are fundamentally limited by a one-to-one mapping assumption, hindering their ability…
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…
Generalizable automated ischaemic stroke lesion segmentation with vision transformers
Chris Foulon, Robert Gray, James K. Ruffle +13
Ischaemic stroke, a leading cause of death and disability, critically relies on neuroimaging for characterising the anatomical pattern of injury. Diffusion-weighted imaging (DWI) p…
Deep generative computed perfusion-deficit mapping of ischaemic stroke
Chayanin Tangwiriyasakul, Pedro Borges, Guilherme Pombo +8
Focal deficits in ischaemic stroke result from impaired perfusion downstream of a critical vascular occlusion. While parenchymal lesions are traditionally used to predict clinical…