Neural networks, especially convolutional neural networks (CNN), are one of the most
common tools these days used in computer vision. Most of these networks work with real …

We present $\zeta $-DP, an extension of differential privacy (DP) to complex-valued
functions. After introducing the complex Gaussian mechanism, whose properties we …

Hyperthermia (HT) in combination with radio-and/or chemotherapy has become an accepted
cancer treatment for distinct solid tumour entities. In HT, tumour tissue is exogenously …

Accelerated MR imaging refers to diagnostic-quality image reconstruction using
undersampled MR sensor data (k-space). This involves acquiring fewer samples than …

Parallel MRI techniques in the k-space, like GRAPPA are widely used in accelerated MRI.
Recently neural-network approaches have shown improved performance over linear …

The bSSFP sequence is highly sensitive to relaxation parameters, tissue microstructure, and
off-resonance frequencies, which has recently been shown to enable multi-parametric tissue …