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Since the introduction of 3-D rotational X-ray imaging, protocols for 3-D rotational coronary artery imaging have become widely available in routine clinical practice. Intra-procedural cardiac imaging in a computed tomography (CT)-like fashion has been particularly compelling due to the reduction of clinical overhead and ability to characterize anatomy at(More)
We present our recent progress in filled pause (FP) modeling for a highly spontaneous medical transcription task. Our studies confirm that FP modeling is an important topic for spontaneous speech applications, which must be explicitly addressed in acoustic, lexical , and language modeling. We provide a framework for data-driven lexical modeling of FP(More)
Dynamic programming is a classical programming technique, applicable in a wide variety of domains such as stochastic systems analysis , operations research, combinatorics of discrete structures, flow problems , parsing of ambiguous languages, and biosequence analysis. Little methodology has hitherto been available to guide the design of such algorithms. The(More)
Segmentation of medical images can be achieved with the help of model-based algorithms. Reliable boundary detection is a crucial component to obtain robust and accurate segmentation results and to enable full automation. This is especially important if the anatomy being segmented is too variable to initialize a mean shape model such that all surface regions(More)
The determination of temporal and spatial correlations in neuronal activity is one of the most important neurophysiological tools to gain insight into the mechanisms of information processing in the brain. Its interpretation is complicated by the difficulty of disambiguating the effects of architecture, single-neuron properties, and network dynamics. We(More)
  • Carsten Meyer
  • 2002
We propose an utterance-level approach to boosting HMM speech recognizers. The standard AdaBoost.M2 algorithm is applied to calculate training weights for utterances, which are used in maximum likelihood (ML) training of subsequent acoustic models. In recognition, scores of these models are linearly combined. We evaluate our algorithm on a large vocabulary(More)
We present a fully automatic segmentation algorithm for the whole heart (four chambers, left ventricular myocardium and trunks of the aorta, the pulmonary artery and the pulmonary veins) in cardiac MR image volumes with nearly isotropic voxel resolution, based on shape-constrained deformable models. After automatic model initialization and reorientation to(More)
Dynamic programming is a classic programming technique, applicable in a wide variety of domains, like stochastic systems analysis , operations research, combinatorics of discrete structures, flow problems , parsing with ambiguous grammars, or biosequence analysis. Yet, no methodology is available for designing such algorithms. The matrix recurrences that(More)
MOTIVATION There are various cases where the biological function of an RNA molecule involves a reversible change of conformation. paRNAss is a software approach to the prediction of such structural switching in RNA. It is based on three hypotheses about the secondary structure space of a switching RNA molecule that can be evaluated by RNA folding and(More)
QRS complex and specifically R-Peak detection is the crucial first step in every automatic electrocardiogram analysis. Much work has been carried out in this field, using various methods ranging from filtering and threshold methods, through wavelet methods, to neural networks and others. Performance is generally good, but each method has situations where it(More)