3,465 research outputs found
Hierarchical 3D diffusion wavelet shape priors
No full textIn this paper, we propose a novel representation of prior knowledge for image segmentation, using diffusion wavelets that can reflect arbitrary continuous interdependencies in shape data. The application of diffusion wavelets has, so far, largely been confined to signal processing. In our approach, and in contrast to state-of-the-art methods, we optimize the coefficients, the number and the position of landmarks, and the object topology - the domain on which the wavelets are defined - during the model learning phase, in a coarse-to-fine manner. The resulting paradigm supports hierarchies both in the model and the search space, can encode complex geometric and photometric dependencies of the structure of interest, and can deal with arbitrary topologies. We report results on two challenging medical data sets, that illustrate the impact of the soft parameterization and the potential of the diffusion operator.Association française contre les myopathies (DTIMUSCLE project
Georg Hermann.
No full textThe internationally renowned author of numerous novels, essays, and articles, Georg Hermann, was born as Georg Borchardt in Berlin-Friedenau on October 7, 1871, the youngest of six children in a well-established Jewish family. Later in life he used his father’s first name Hermann as his surname when writing. Contrary to the expectations for a young man from a reputable family, Hermann did not pursue the Abitur exam in a Gymnasium (secondary school), but instead received a one-year certificate in 1890, leaving school to become an apprentice salesman at a tie company. From 1896 until 1899 he worked in the Statistical Office of Berlin, at the same time attending literature and art history lectures at the University of Berlin. Afterwards he worked as a freelance writer and art critic.His first book, 'Spielkinder', was published in 1896, but he did not become well-known until 1906, with the publication of 'Jettchen Gebert', followed by its sequel, 'Henriette Jacoby'. These novels told the story of the life of a young woman living in Jewish Berlin during the Biedermeier period of the 1820s and 1830s. Politically active, Georg Hermann was also a member of the Central-Verein deutscher Staatsbürger jüdischen Glaubens.Having become known for his pacifist tendencies through his writing, and because of his Jewish heritage, Georg Hermann and his family fled to Holland shortly after the burning of the Reichstag in 1933. Although the rest of his family was saved from the Nazis after their occupation of Holland in 1943, Georg Hermann was sent to the Dutch concentration camp of Westerbork. On November 16, 1943 he was transported to Auschwitz and either died during transport or shortly after his arrival.Digital ImageRecord added to DigiTool. Aleph record suppressed. J. Palmisano 09/15/2010
Sammlung von Merckwürdigkeiten der Natur und Alterthümern des Erdbodens, welche petrificirte Cörper enthält
No full textaufgewiesen und beschrieben von Georg Wolffgang KnorrVorlageform des Erscheinungsvermerks: Nürnberg, zu finden bey dem Author. Gedruckt bey Andreas Bieling
Georg Trakl and melancholy
No full textThis paper identifies some of the decisive aspects of Georg Trakl’s poetry, taking as the starting point the author’s awareness about God’s death, from Nietzsche’s approach. Emphasis is placed on melancholy, support of the creation, testimony and acknowledgement of failure and grief of mankind, from which the author was able to express his discouragement upon the downfall and decline of the West.Se identificaron algunos aspectos determinantes de la obra poética de Georg Trakl, tomando como punto de partida la conciencia del escritor acerca de la muerte de Dios, desde la perspectiva de Nietzsche. Se hizo un énfasis sobre la melancolía, soporte de la creación, testimonio y reconocimiento del errar y el duelo del hombre, a partir de la cual el autor pudo expresar el desconsuelo por la ruina y el ocaso de Occidente
Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion
No full textThe alignment of brain imaging data for functional neuroimaging studies is challenging due to the discrepancy between correspondence of morphology, and equivalence of functional role. In this paper we map functional activation areas across individuals by a multi-atlas label fusion algorithm in a functional space. We learn the manifold of resting-state fMRI signals in each individual, and perform manifold alignment in an embedding space. We then transfer activation predictions from a source population to a target subject via multi-atlas label fusion. The cost function is derived from the aligned manifolds, so that the resulting correspondences are derived based on the similarity of intrinsic connectivity architecture. Experiments show that the resulting label fusion predicts activation evoked by various experiment conditions with higher accuracy than relying on morphological alignment. Interestingly, the distribution of this gain is distributed heterogeneously across the cortex, and across tasks. This offers insights into the relationship between intrinsic connectivity, morphology and task activation. Practically, the mechanism can serve as prior, and provides an avenue to infer task-related activation in individuals for whom only resting data is available. Keywords: Functional Connectivity, Cortical Surface, Task Activation, Target Subject, Intrinsic ConnectivityCongressionally Directed Medical Research Programs (U.S.) (Grant PT100120)Eunice Kennedy Shriver National Institute of Child Health and Human Development (U.S.) (R01HD067312)Neuroimaging Analysis Center (U.S.) (P41EB015902)Oesterreichische Nationalbank (14812)Oesterreichische Nationalbank (15929)Seventh Framework Programme (European Commission) (FP7 2012-PIEF-GA-33003
Tractatio Jvridica De Concursu Novercæ Cum Privignis
No full textZugl.: Basel, Univ., Jur. Diss., 1728[Hermann Georg Krohn]A new edition, revised by the author, of his inaugural dissertation, Basel, 1728, published by G.C. Overbeck, with a conspectus of the chapters. Cf. prefIncludes bibliographical referencesWith: Rösener, Andreas Christoph. Andreae Christophori Röseneri j.u.d. Tractatus juridicus de libris mercatorum. Lipsiae : Sumptibus haeredum Friderici Lanckisii, literis Christiani Scholvini, [1694]. Copy 2. Bound together subsequent to publicationAutopsie nach Ex. der ULB Sachsen-AnhaltVorlageform des Erscheinungsvermerks: Lubecæ, Sumtibus Jonae Schmidt. MDCCXLVII
Keypoint Transfer Segmentation
No full textWe present an image segmentation method that transfers label maps of entire organs from the training images to the novel image to be segmented. The transfer is based on sparse correspondences between keypoints that represent automatically identified distinctive image locations. Our segmentation algorithm consists of three steps: (i) keypoint matching, (ii) voting-based keypoint labeling, and (iii) keypoint-based probabilistic transfer of organ label maps. We introduce generative models for the inference of keypoint labels and for image segmentation, where keypoint matches are treated as a latent random variable and are marginalized out as part of the algorithm. We report segmentation results for abdominal organs in whole-body CT and in contrast-enhanced CT images. The accuracy of our method compares favorably to common multi-atlas segmentation while offering a speed-up of about three orders of magnitude. Furthermore, keypoint transfer requires no training phase or registration to an atlas. The algorithm’s robustness enables the segmentation of scans with highly variable field-of-view.National Alliance for Medical Image Computing (U.S.) (U54-EB005149)National Center for Image Guided Therapy (P41-EB015898
Sammlung von Merckwürdigkeiten der Natur und Alterthümern des Erdbodens, welche petrificirte Cörper enthält / aufgewiesen und beschrieben von Georg Wolffgang Knorr
No full textVorlageform des Erscheinungsvermerks: Nürnberg, zu finden bey dem Author. Gedruckt bey Andreas Bieling
Segmentierung fetaler 3D Gehirn MRTs und spektrale Gehirnzuordnung
No full textMedical research is a very diverse field and recently machine learning has become a part of it. One area in which it can be applied particularly well is the analysis of medical image data. The segmentation of this data is a difficult task in which a lot of research is done.In this thesis, a method for the automatic segmentation of magnetic resonance images (MRI) of fetal brains is presented. In comparison, the automatic segmentation of the adult brain is already well advanced and there are several interesting results. In this case, the quantity and quality of the data as well as the complex structure of the fetal brain are a major challenge for any automatic segmentation program. A popular method for segmentation is deep learning. In this process, artificial neural networks are trained on pre-segmented data. With the experience gained further data can be evaluated independently. Convolution and the U-Net architecture are used to particularly improve the quality of the image analysis of neural networks. In the course of this thesis, experiments are carried out to find a suitable structure for a neural network. Inspired by others, several techniques such as sequencing neural networks or hierarchical structures are evaluated and implemented. To improve the spatial information of the artificial neural network, spectral coordinates are applied and a topological loss function supports the identification of the cortex. This techniques improve the automatic segmentation and lead to promising results. Especially the spectral coordinates and the topological loss function increase the performance of the network in the cortex
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