Angela Schulz, Jonna Hänsch, Kristina Kuhn, Maria Schlesener, Peter Kossmehl, Jens R. Nyengaard, Norbert Wendt, Matthias Huber, and Reinhold Kreutz Department of Clinical Pharmacology and Toxicology, CharitéCentrum für Therapieforschung, Charité Universitätsmedizin Berlin, Berlin, Germany; and Stereology and Electron Microscopy Research Laboratory and MIND Center, University of Aarhus, Aarhus, ...

HUMANS AT 7T Laurentius Huber, Jozien Goense, Dimo Ivanov, Steffen N. Krieger, Robert Turner, and Harald E. Moeller NMR-Unit, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germa...

Carolina Seybert (International Psychoanalytic University, Berlin) Dorothea Huber (International Psychoanalytic University, Berlin; Department of Psychosomatic Medicine and Psychotherapy, Clinical Center, München) Melanie Ratzek (International Psychoanalytic University, Berlin) Johannes Zimmermann (Institute for Psychology, University of Kassel) Günther Klug (Clinic and Polyclinic for Psychosom...

We present a new technique for comparing models using a median form of cross-validation and least median of squares estimation (MCV-LMS). Rather than minimizing the sums of squares of residual errors, we minimize the median of the squared residual errors. We compare this with a robustified form of cross-validation using the Huber loss function and robust coefficient estimators (HCV). Through ex...

An interscale predictive wavelet coding (IPWC) scheme is proposed in this paper. The image is encoded top-down, from the coarsest scale to the finest scale. At each scale, the current scale coefficients are predicted from the coded coefficients at the coarser scale and the prediction residue is encoded. The interscale prediction is based on MAP estimation with Huber Markov random field statisti...

Data assimilation is the process to fuse information from priors, observations of nature, and numerical models, in order to obtain best estimates of the parameters or state of a physical system of interest. Presence of large errors in some observational data, e.g., data collected from a faulty instrument, negatively affect the quality of the overall assimilation results. This work develops a sy...

We consider new formulations and methods for sparse quantile regression in the high-dimensional setting. Quantile regression plays an important role in many applications, including outlier-robust exploratory analysis in gene selection. In addition, the sparsity consideration in quantile regression enables the exploration of the entire conditional distribution of the response variable given the ...

The micromotor is an extremely small device a few millimetres or less in size. Micromotors in the order of microns are realised by MEMS technology. Important applications in biomedicine include ultrasound probes for blood vessels,1 microrobots for colon intervention,2 smart pills and nanolitre pumps. Other uses include actuators for MOEMS and small variable capacitors. One exciting implication ...

Authors/Task Force Members: Frans Van de Werf, Chairperson (Belgium)*, Jeroen Bax (The Netherlands), Amadeo Betriu (Spain), Carina Blomstrom-Lundqvist (Sweden), Filippo Crea (Italy), Volkmar Falk (Germany), Gerasimos Filippatos (Greece), Keith Fox (UK), Kurt Huber (Austria), Adnan Kastrati (Germany), Annika Rosengren (Sweden), P. Gabriel Steg (France), Marco Tubaro (Italy), Freek Verheugt (The ...