output
20212026
most citedUnsupervised Brain Anomaly Detection and Segmentation with Transformers

31 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

cs.RO2026★ 1 cited

A Position Statement on Endovascular Models and Effectiveness Metrics for Mechanical Thrombectomy Navigation, on behalf of the Stakeholder Taskforce for AI-assisted Robotic Thrombectomy (START)

Harry Robertshaw, Anna Barnes, Phil Blakelock +20

While we are making progress in overcoming infectious diseases and cancer; one of the major medical challenges of the mid-21st century will be the rising prevalence of stroke. Larg…

eess.IV2025★ 1 cited

KEVS: Enhancing Segmentation of Visceral Adipose Tissue in Pre-Cystectomy CT with Gaussian Kernel Density Estimation

Thomas Boucher, Nicholas Tetlow, Annie Fung +5

Purpose: The distribution of visceral adipose tissue (VAT) in cystectomy patients is indicative of the incidence of post-operative complications. Existing VAT segmentation methods…

math.NA2021

A coupling strategy for a 3D-1D model of the cardiovascular system to study the effects of pulse wave propagation on cardiac function

Federica Caforio, Christoph M. Augustin, Jordi Alastruey +2

The impact of increased stiffness and pulsatile load on the circulation and their influence on heart performance have been documented not only for cardiovascular events but also fo…

eess.IV2021★ 31 cited

Unsupervised Brain Anomaly Detection and Segmentation with Transformers

Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray +4

Pathological brain appearances may be so heterogeneous as to be intelligible only as anomalies, defined by their deviation from normality rather than any specific pathological char…