Rolf Bippus

TL;DR: This paper restricts its considerations to the case where only a single microphone recording of the noisy signal is available and proposes a method based on temporal quantiles in the power spectral domain, which is compared with pause detection and recursive averaging.

TL;DR: In ultra-low-dose scans, BMD and microstructure parameters were able to differentiate subjects with and without vertebral fractures, suggesting osteoporosis diagnosis is feasible, however, absolute values differed from original values.

TL;DR: First machine‐learning‐based measures for coronary motion artifact recognition and quantification and higher robustness regarding variations in background intensities compared to state of the art handcrafted measures are proposed.

TL;DR: Approaches to evaluate [(18)F]-2-Fluoro-A85380 for in vivo imaging of arterial nicotinic acetylcholine receptors (nAChRs) in humans can provide specific information on the nAChR distribution in human arteries and might provide insights into the pathogenic role of nA ChRs in the human vasculature.

TL;DR: This work compares the performance of a speech recognizer trained on recorded speech in the target domain with a system trained on suitably transformed clean speech, based on two channel recordings with a close talk and a distant microphone.