2 papers
cs.CV2024
Tumor likelihood estimation on MRI prostate data by utilizing k-Space information
M. Rempe, F. Hörst, C. Seibold +7
We present a novel preprocessing and prediction pipeline for the classification of magnetic resonance imaging (MRI) that takes advantage of the information rich complex valued k-Sp…
physics.ins-det2024
Characterisation and simulation of stitched CMOS strip sensors
Naomi Davis, Jan-Hendrik Arling, Marta Baselga +20
In high-energy physics, there is a need to investigate alternative silicon sensor concepts that offer cost-efficient, large-area coverage. Sensors based on CMOS imaging technology…