Nicolas Weilguny, BSc
Department of Neurosurgery
Position: Master Student
ORCID: 0009-0002-2173-5391
nicolas.weilguny@meduniwien.ac.at
Keywords
Computational Modelling; Connectome; Functional Magnetic Resonance; Functional Neuroimaging; Machine Learning; Magnetic Resonance Imaging; Neurosurgery
Research group(s)
- Computational Imaging Research Lab
Head: Georg Langs
Research Area: Research at CIR is roughly grouped around 3 research lines: Machine Learning & Neuroimaging, Computer Aided Diagnosis and Quantification, Computer Vision and Pattern Recognition
Members: - intraoperative MRI
Head: Gilbert Hangel
Research Area: Development, optimisation and application of advanced MRI methods (morphological, functional, metabolic) for intraoperative MRI devices
Members: - Early Life Image Analysis (ELIA)
Head: Roxane Licandro
Research Area: ELIA focuses on developing novel technologies to represent, analyse and understand perinatal imaging data from the fetal period until 18 years. Methodologies are tailored to age related dynamics and specifically address developmental changes and interactions with pathologic progression patterns.
Members:
Selected publications
- Weilguny, N. et al. (2024) ‘Implementation Of A Data Analysis Pipeline For Intraoperative fMRI’, Brain and Spine, 4, p. 103400. Available at: https://doi.org/10.1016/j.bas.2024.103400.