2019

• Kepp, T., Droigk, C., Casper, M., Evers, M., Hüttmann, G., Salma, N., Manstein, D., Heinrich, M. P. and Handels, H.: Segmentation of Mouse Skin Layers in Optical Coherence Tomography Image Data using Deep Convolutional Neural Networks Biomedical Optics Express, vol. 10, pp. 3484-3496, July, 2019
  

  @article {kepp19,
      title = {Segmentation of Mouse Skin Layers in Optical Coherence Tomography Image Data using Deep Convolutional Neural Networks},
      journal = {Biomedical Optics Express},
      volume = {10},
      year = {2019},
      month = {July},
      pages = {3484-3496},
      doi = {10.1364/BOE.10.003484},
      author = { Kepp, Timo and Droigk, Christine and Casper, Malte and Evers, Michael and H{\"u}ttmann, Gereon and Salma, Nunciada and Manstein, Dieter and Heinrich, Mattias P. and Heinz Handels} 

• 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},
  }

• Droigk, C., Maass, M. and Mertins, A.: Multiresolution vessel detection in magnetic particle imaging using wavelets and a Gaussian mixture model International Journal of Computer Assisted Radiology and Surgery, October, 2019
  

  @Article{droigk2019c,
  author={Droigk, Christine and Maass, Marco and Mertins, Alfred},
  title={Multiresolution vessel detection in magnetic particle imaging using wavelets and a Gaussian mixture model},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  year={2019},
  month={November},
  day={01},
  volume={14}
  number={11},
  pages={1913--1921},
  abstract={Magnetic particle imaging is a tomographic imaging technique that allows one to measure the spatial distribution of superparamagnetic nanoparticles, which are used as tracer. The magnetic particle imaging scanner measures the voltage induced due to the nonlinear magnetization behavior of the nanoparticles. The tracer distribution can be reconstructed from the voltage signal by solving an inverse problem. A possible application is the imaging of vessel structures. In this and many other cases, the tracer is only located inside the structures and a large part of the image is related to background. A detection of the tracer support in early stages of the reconstruction process could improve reconstruction results.},
  issn={1861-6429},
  doi={10.1007/s11548-019-02079-w},
  url={https://doi.org/10.1007/s11548-019-02079-w}
  }

• Droigk, C., Maass, M., Koch, P., Möller, A. and Mertins, A.: Multiresolution Magnetic Particle Imaging of Vessel Structures with Support Detection in 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019), pp. 113-114, Infinite Science Publishing, New York, USA, March, 2019
  

  @inproceedings{droigk2019multiresolution,
  Author = {Droigk, Christine and Maass, Marco and Koch, Philipp and Möller, Anita and Mertins, Alfred}, 
  Title = {Multiresolution Magnetic Particle Imaging of Vessel Structures with Support Detection}, 
  Year = {2019}, 
  Pages = {113-114}, 
  Booktitle = {9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)}, 
  publisher = {Infinite Science Publishing},
  address = {New York, USA}, 
  month = {March},
  }
  

• Droigk, C., Maass, M., Englisch, C. and Mertins, A.: Joint Multiresolution and Background Detection Reconstruction for Magnetic Particle Imaging in Bildverarbeitung für die Medizin 2019, pp. 165-170, Springer Vieweg, Wiesbaden, Informatik aktuell, 2019
  

  @incollection{droigk2019joint,
     title={Joint Multiresolution and Background Detection Reconstruction for Magnetic Particle Imaging},
     author={Droigk, Christine and Maass, Marco and Englisch, Corbinian and Mertins, Alfred},
     booktitle={Bildverarbeitung f{\"u}r die Medizin 2019},
       series = {Informatik aktuell},
     pages={165-170},
     year={2019},
     publisher = {Springer Vieweg, Wiesbaden},
       organization = {Springer Vieweg, Wiesbaden}, 
  editor = {Handels, Heinz and Deserno, Thomas Martin and Maier, A. and Maier-Hein, K.H. and Palm, Christoph and Tolxdorff, Thomas}, 
  doi       = {10.1007/978-3-658-25326-4_35}, }
  
  

• Maass, M., Droigk, C., Koch, P. and Mertins, A.: A Strategy for the Extension of the Kaczmarz Algorithm to Different Priors in 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019), pp. 111-112, Infinite Science Publishing, New York, USA, March, 2019
  

  @InProceedings{Maass2019,
    author    = {Maass, M. and Droigk, C. and Koch, P. and Mertins, A.},
    title     = {A Strategy for the Extension of the Kaczmarz Algorithm to Different Priors},
    Booktitle = {9th International Workshop on Magnetic Particle Imaging (IWMPI 2019)}, 
    year      = {2019},
  Pages = {111-112}, 
  publisher = {Infinite Science Publishing},
  address = {New York, USA}, 
  month = { March},
  }

2018

• Kepp, T., Droigk, C., Casper, M., Evers, M., Salma, N., Manstein, D. and Handels, H.: Segmentation of subcutaneous fat within mouse skin in 3D OCT image data using random forests in SPIE Medical Imaging 2018: Image Processing, vol. 10574, pp. 1057426-1 - 1057426-8, SPIE, Houston, Texas, United States, 2018
  

  @conference {kepp18a,
      title = {Segmentation of subcutaneous fat within mouse skin in 3D OCT image data using random forests},
      booktitle = {SPIE Medical Imaging 2018: Image Processing},
      volume = {10574},
      year = {2018},
      pages = {1057426-1 - 1057426-8},
      publisher = {SPIE},
      organization = {SPIE},
      address = {Houston, Texas, United States},
      doi = {10.1117/12.2290085},
      attachments = {http://imi.uni-luebeck.de/sites/default/files/SPIE2018_Kepp_IMI.pdf},
      author = { Timo Kepp and Droigk, Christine and Casper, Malte and Evers, Michael and Salma, Nunciada and Manstein, Dieter and Heinz Handels}

• Kepp, T., Droigk, C., Casper, M., Evers, M., Salma, N., Manstein, D. and Handels, H.: Random-Forest-basierte Segmentierung der subkutanen Fettschicht der Mäusehaut in 3D-OCT-Bilddaten in Bildverarbeitung für die Medizin 2018, pp. 203, Springer Vieweg, Berlin Heidelberg, Informatik aktuell, Erlangen, 2018
  

  @conference {kepp18b,
      title = {Random-Forest-basierte Segmentierung der subkutanen Fettschicht der M{\"a}usehaut in 3D-OCT-Bilddaten},
      booktitle = {Bildverarbeitung f{\"u}r die Medizin 2018},
      series = {Informatik aktuell},
      year = {2018},
      pages = {203},
      publisher = {Springer Vieweg, Berlin Heidelberg},
      organization = {Springer Vieweg, Berlin Heidelberg},
      address = {Erlangen},
      isbn = {978-3-662-56537-7},
      issn = {1431-472X},
      doi = {10.1007/978-3-662-56537-7_58},
      author = { Timo Kepp and Droigk, Christine and Casper, Malte and Evers, Michael and Salma, Nunciada and Manstein, Dieter and Heinz Handels},
      editor = { Maier, Andreas and Deserno, Thomas M. and Heinz Handels and Maier-Hein, Klaus Hermann and Palm, Christoph and Tolxdorff, Thomas}