Titlebook: Handw?rterbuch der Gerichtlichen Medizin und Naturwissenschaftlichen Kriminalistik; In Gemeinschaft mit F. Neureiter (o. Professor Dr. Med

精密

F. v. Neureiter,F. Pietrusky,E. Schüttntation models is the inherent complexity and inter-connectivity of pixels in medical images. These characteristics require modeling not only local features but also a global understanding of image semantics. In this paper, we propose a deep convolutional neural network called GCEENet to effectively

OATH

F. v. Neureiter,F. Pietrusky,E. Schüttntation models is the inherent complexity and inter-connectivity of pixels in medical images. These characteristics require modeling not only local features but also a global understanding of image semantics. In this paper, we propose a deep convolutional neural network called GCEENet to effectively

stroke

Minatory

F. v. Neureiter,F. Pietrusky,E. Schütth as joint angles of a 3D object. The probability of the object’s states, including correlations between the state parameters, is learned a priori from training samples. We introduce a framework that integrates this knowledge into the family of particle filters and particularly into the annealed par

反感

無(wú)能力之人

F. v. Neureiter,F. Pietrusky,E. Schütt Rethymnon, Crete, Greece, in July 2013. The 63 revised full papers and 35 poster papers presented together with 32 special track papers were carefully reviewed and selected from more than 220 submissions. The papers are organized in topical sections: Part I (LNCS 8033) comprises computational bioim

Leisureliness

F. v. Neureiter,F. Pietrusky,E. Schütthieved by a new frame structure allowing to remove redundancies and to reconstruct the original stream without loss. The introduced advancement is able to increase the compression efficiency and keeps other beneficial property of the traditional codec, as, high-quality frame-wise access and scalabil

合法

F. v. Neureiter,F. Pietrusky,E. Schüttos, where the data comes from specific application requirements. The specific real-world application that we are focusing on in this paper is cognitive assessment in children using cognitively demanding physical tasks. We created a system called Cross-Your-Body and recorded data, which is unique in

交響樂

F. v. Neureiter,F. Pietrusky,E. Schütt agent through the neurovasculature is imaged in a series of CT scans. Relevant perfusion parameters, such as cerebral blood volume (CBV), flow (CBF) and delay (Tmax), can be computed by deconvolution of the contrast-time curves with the bolus shape measured at one of the feeding arteries. These par

NOMAD

F. v. Neureiter,F. Pietrusky,E. Schüttsts while increasing efficiency. However, classifying a polyp as being neoplasm or not and segmenting it at the pixel level is still a challenging task for doctors to perform in a limited time. In this work, we propose a fine-grained formulation for the polyp segmentation problem. Our formulation ai