Search Results - "Bippus, R."

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  1. 1

    Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks by Lossau, T., Nickisch, H., Wissel, T., Bippus, R., Schmitt, H., Morlock, M., Grass, M.

    Published in Medical image analysis (01-02-2019)
    “…•Coronary Motion Forward Artifact model for CT data (CoMoFACT) induces simulated motion by means of the motion compensated filtered back-projection…”
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    Journal Article
  2. 2

    Motion estimation and correction in cardiac CT angiography images using convolutional neural networks by Lossau (née Elss), T., Nickisch, H., Wissel, T., Bippus, R., Schmitt, H., Morlock, M., Grass, M.

    Published in Computerized medical imaging and graphics (01-09-2019)
    “…•Coronary Motion Forward Artifact model for CT data (CoMoFACT) generates motion perturbed image patches along with underlying motion vectors.•Supervised…”
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    Journal Article
  3. 3

    Effects of virtual tube current reduction and sparse sampling on MDCT-based femoral BMD measurements by Sollmann, N., Mei, K., Schwaiger, B.J., Gersing, A.S., Kopp, F.K., Bippus, R., Maegerlein, C., Zimmer, C., Rummeny, E.J., Kirschke, J.S., Noël, P.B., Baum, T.

    Published in Osteoporosis international (01-12-2018)
    “…Summary This study investigates the impact of tube current reduction and sparse sampling on femoral bone mineral density (BMD) measurements derived from…”
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    Journal Article
  4. 4

    Quantile based noise estimation for spectral subtraction and Wiener filtering by Stahl, V., Fischer, A., Bippus, R.

    “…Elimination of additive noise from a speech signal is a fundamental problem in audio signal processing. In this paper we restrict our considerations to the…”
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    Conference Proceeding
  5. 5

    1-dimensional and pseudo 2-dimensional HMMs for the recognition of German literal amounts by Bippus, R.

    “…Hidden Markov models (HMMs) are frequently used in off-line cursive script recognition. In most cases, the script is processed strictly from left to right,…”
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    Conference Proceeding
  6. 6

    A comparative study of model-based adaptation techniques for a compact speech recognizer by Thiele, F., Bippus, R.

    “…Many techniques for speaker adaptation have been successfully applied to automatic speech recognition. This paper compares the performance of several…”
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    Conference Proceeding
  7. 7

    Acoustic synthesis of training data for speech recognition in living room environments by Stahl, V., Fischer, A., Bippus, R.

    “…Despite continuous progress in robust automatic speech recognition acoustic mismatch between training and test conditions is still a major problem…”
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    Conference Proceeding
  8. 8

    Acoustic synthesis of training data for speech recognition in living room environments by Stahl, V., Fischer, A., Bippus, R.

    “…Despite continuous progress in robust automatic speech recognition acoustic mismatch between training and test conditions is still a major problem…”
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    Conference Proceeding
  9. 9

    Collimator spatial resolution by Wieczorek, H., Goedicke, A., Edstrom, F., Degenhardt, C., Botterweck, H., Bippus, R.

    “…Pixellated detectors based on cadmium-zinc telluride (CZT) are a promising alternative to NaI-based SPECT cameras. The performance of either system is…”
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    Conference Proceeding
  10. 10

    Data structures and tools for document database generation: an experimental system by Bippus, R., Margner, V.

    “…This paper is a contribution to the discussion of the structure and the elements of databases for document analysis tasks and the tools needed for database…”
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    Conference Proceeding
  11. 11

    Script recognition using inhomogeneous P2DHMM and hierarchical search space reduction by Bippus, R., Margner, V.

    “…Pseudo-2D hidden Markov models (P2DHMMs) manage the assignment of observations to states quite well, whereas the calculation of probabilities is a great…”
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    Conference Proceeding