output
20182024
most citedISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

194 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
Showing 2020 · eess.IVShow all

3 papers · 2 filters

eess.IV2020★ 2 cited

AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning

Ezequiel de la Rosa, Diana M. Sima, Bjoern Menze +2

Perfusion imaging is crucial in acute ischemic stroke for quantifying the salvageable penumbra and irreversibly damaged core lesions. As such, it helps clinicians to decide on the…

eess.IV2020★ 17 cited

Unsupervised 3D Brain Anomaly Detection

Jaime Simarro, Ezequiel de la Rosa, Thijs Vande Vyvere +2

Anomaly detection (AD) is the identification of data samples that do not fit a learned data distribution. As such, AD systems can help physicians to determine the presence, severit…

eess.IV2020★ 4 cited

Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data

Mattias Billast, Maria Ines Meyer, Diana M. Sima +1

The evaluation of white matter lesion progression is an important biomarker in the follow-up of MS patients and plays a crucial role when deciding the course of treatment. Current…