4 papers
Anomalous Change Point Detection Using Probabilistic Predictive Coding
Roelof G. Hup, Julian P. Merkofer, Alex A. Bhogal +3
Change point detection (CPD) and anomaly detection (AD) are essential techniques in various fields to identify abrupt changes or abnormal data instances. However, existing methods…
Strategies to Minimize Out-of-Distribution Effects in Data-Driven MRS Quantification
Julian P. Merkofer, Antonia Kaiser, Anouk Schrantee +2
This study systematically compared data-driven and model-based strategies for metabolite quantification in magnetic resonance spectroscopy (MRS), focusing on resilience to out-of-d…
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy
Julian P. Merkofer, Dennis M. J. van de Sande, Alex A. Bhogal +1
Magnetic resonance spectroscopy (MRS) is a non-invasive technique to measure the metabolic composition of tissues, offering valuable insights into neurological disorders, tumor det…
WAND: Wavelet Analysis-based Neural Decomposition of MRS Signals for Artifact Removal
Julian P. Merkofer, Dennis M. J. van de Sande, Sina Amirrajab +3
Accurate quantification of metabolites in magnetic resonance spectroscopy (MRS) is challenged by low signal-to-noise ratio (SNR), overlapping metabolites, and various artifacts. Pa…