2020

• Koch, P., Dreier, M., Larsen, A., Parbs, T. J., Maass, M., Phan, H. and Mertins, A.: Regression of Hand Movements from sEMG Data with Recurrent Neural Networks in 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), pp. 3783--3787, 2020
  

  @InProceedings{Koch2020a,
    author    = {Koch, Philipp and Dreier, Mark and Larsen, Anna and Parbs, Tim J. and Maass, Marco and Phan, Huy and Mertins, Alfred},
    title     = {Regression of Hand Movements from sEMG Data with Recurrent Neural Networks},
    booktitle = {42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
    year      = {2020},
    pages     = {3783--3787},
  }

2019

• Parbs, T. J., Möller, A. and Mertins, A.: Retrospective Blind MR Image Recovery with Parameterised Motion Models in Bildverarbeitung für die Medizin 2019, pp. 140 - 145, Springer Vieweg, Wiesbaden, Informatik aktuell, 2019
  

  @InCollection{parbs2019a,
    author       = {Parbs, Tim J., and M{\"o}ller, Anita and Mertins, Alfred},
    title        = {Retrospective Blind MR Image Recovery with Parameterised Motion Models},
    booktitle    = {Bildverarbeitung f{\"u}r die Medizin 2019},
    publisher    = {Springer Vieweg, Wiesbaden},
    year         = {2019},
    editor       = {Handels, Heinz and Deserno, Thomas Martin and Maier, A. and Maier-Hein, K.H. and Palm, Christoph and Tolxdorff, Thomas},
    series       = {Informatik aktuell},
    pages        = {140 - 145},
    doi          = {10.1007/978-3-658-25326-4_30},
    organization = {Springer Vieweg, Wiesbaden},
  }
  

• Koch, P., Maass, M., Bruhns, M., Droigk, C., Parbs, T. J. and Mertins, A.: Neural Network for Reconstruction of MPI Images in 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019), pp. 39--40, Infinite Science Publishing, New York, USA, March, 2019
  

  @inproceedings{koch2019a,
  Author = {Koch, P.  and Maass, M. and Bruhns, M. and Droigk, C.  and Parbs, T. J. and Mertins, A.}, 
  Title = {Neural Network for Reconstruction of MPI Images}, 
  Year = {2019}, 
  Pages = {39--40}, 
  Booktitle = {9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)}, 
  publisher = {Infinite Science Publishing},
  address = {New York, USA}, 
  month = {March},
  }

• Möller, A., Maass, M., Parbs, T. J. and Mertins, A.: Blind Sparsity Based Motion Estimation and Correction Model for Arbitrary MRI Sampling Trajectories in Proceedings of the 27th Joint Annual Meeting of ISMRM, pp. 4496, Montreal, Canada, May, 2019
  

  @INPROCEEDINGS{moeller2019,
  author = {Möller, Anita and Maass, Marco and Parbs, Tim Jeldrik and Mertins, Alfred},
  title = {Blind Sparsity Based Motion Estimation and Correction Model for Arbitrary MRI Sampling Trajectories},
  booktitle = {Proceedings of the 27th {Joint} {Annual} {Meeting} of {ISMRM}},
  pages = {4496},
  year = {2019},
  address = {Montreal, Canada},
  month = {May},
  url ={https://index.mirasmart.com/ISMRM2019/PDFfiles/4496.html}
  }

• Möller, A., Maass, M., Parbs, T. J. and Mertins, A.: Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories in Bildverarbeitung für die Medizin 2019, pp. 128-133, Springer Fachmedien Wiesbaden, Wiesbaden, 2019
  

  @InProceedings{MoellerBVM_2019,
  author="M{\"o}ller, Anita and Maass, Marco and Parbs, Tim Jeldrik and Mertins, Alfred",
  editor="Handels, Heinz and Deserno, Thomas M. and Maier, Andreas and Maier-Hein, Klaus Hermann and Palm, Christoph
  and Tolxdorff, Thomas",
  title="Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories",
  booktitle="Bildverarbeitung f{\"u}r die Medizin 2019",
  year="2019",
  publisher="Springer Fachmedien Wiesbaden",
  address="Wiesbaden",
  pages="128--133",
  abstract="In this publication, a new blind motion correction algorithm for magnetic resonance imaging for arbitrary sampling trajectories is presented. Patient motion during partial measurements is estimated. Exploiting the image design, a sparse approximation of the reconstructed image is calculated with the alternating direction method of multipliers. The approximation is used with gradient descent methods with derivatives of a rigid motion model to estimate the motion and extract it from the measured data. Adapted gridding is performed in the end to receive reconstruction images without motion artifacts.",
  isbn="978-3-658-25326-4",
  doi="10.1007/978-3-658-25326-4_28",
  }