194 citations
- KU LeuvenBE11 papers
- Technical University of MunichDE8 papers
- InsermFR4 papers
- TUM KlinikumDE4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Universitair Ziekenhuis LeuvenBE3 papers
- Universitat de GironaES3 papers
- University of BernCH3 papers
- University of ZurichCH3 papers
- Centre de Recherche en Acquisition et Traitement de l'Image pour la SantéFR2 papers
- Harvard UniversityUS2 papers
- Helmholtz MunichDE2 papers
Showing 2020Show all
3 papers · 1 filter
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…