@incollection{UBHD-68490545,
  author={F{\"o}ll, Melanie Christine and Wollmann, Thomas and Rohr, Karl},
  title={Accessible and reproducible mass spectrometry imaging data analysis in Galaxy},
  year={2019},
  pages={1-12},
  language={eng},
  note={Gesehen am 18.02.2020},
  journal={GigaScience},
  doi={10.1093/gigascience/giz143},
}
@article{UBHD-68486509,
  author={Ritter, Christian and Wollmann, Thomas and Gunkel, Manuel and Braun, Delia and Lee, Ji Young and Erfle, Holger and Rippe, Karsten and Bartenschlager, Ralf and Rohr, Karl},
  title={Hyperparameter optimization for image analysis},
  subtitle={application to prostate tissue images and live cell data of virus-infected cells},
  year={2019},
  pages={1847-1857},
  language={eng},
  issn={1861-6429},
  volume={14},
  number={11},
  note={Gesehen am 07.02.2020},
  journal={International journal of computer assisted radiology and surgery},
  doi={10.1007/s11548-019-02010-3},
}
@article{UBHD-68434224,
  author={Veta, Mitko and Wollmann, Thomas and Rohr, Karl},
  title={Predicting breast tumor proliferation from whole-slide images},
  subtitle={the TUPAC16 challenge},
  year={2019},
  pages={111-121},
  language={eng},
  issn={1361-8423},
  volume={54},
  note={Gesehen am 30.09.2019},
  journal={Medical image analysis},
  doi={10.1016/j.media.2019.02.012},
}
@article{UBHD-68743969,
  author={Wollmann, Thomas and Rohr, Karl},
  title={Deep Consensus Network},
  subtitle={aggregating predictions to improve object detection in microscopy images},
  year={2021},
  pages={1-14},
  language={eng},
  issn={1361-8423},
  volume={70},
  number={Artikel-ID 102019},
  note={Gesehen am 02.06.2021},
  journal={Medical image analysis},
  doi={10.1016/j.media.2021.102019},
}
@book{UBHD-68647387,
  author={Wollmann, Thomas},
  title={Deep learning for detection and segmentation in high-content microscopy images},
  address={Heidelberg},
  year={2020},
  pages={xx, 175 Seiten},
  language={eng},
  school={Dissertation,  Heidelberg University,  2020},
  library={UB [Signatur: 2020 U 852] ; MA [Signatur: Diss. Wollm]},
}
@book{UBHD-68640017,
  author={Wollmann, Thomas},
  title={Deep learning for detection and segmentation in high-content microscopy images},
  address={Heidelberg},
  year={2020},
  pages={1 Online-Ressource (195 Seiten)},
  language={eng},
  school={Dissertation,  Heidelberg University,  2020},
  doi={10.11588/heidok.00028827},
  keywords={Deep learning / Bildanalyse / Mikroskopie / Maschinelles Lernen / Histologie / Segmentierung / Objekterkennung},
  url={https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-288276},
  library={UB},
}
@article{UBHD-68442859,
  author={Wollmann, Thomas and Gunkel, Manuel and Erfle, Holger and Rippe, Karsten and Rohr, Karl},
  title={GRUU-Net},
  subtitle={Integrated convolutional and gated recurrent neural network for cell segmentation},
  year={2019},
  pages={68-79},
  language={eng},
  issn={1361-8423},
  volume={56},
  note={Gesehen am 21.10.2019},
  journal={Medical image analysis},
  doi={10.1016/j.media.2019.04.011},
}
@article{UBHD-68320063,
  author={Wollmann, Thomas and Erfle, Holger and Eils, Roland and Rohr, Karl and Gunkel, Manuel},
  title={Workflows for microscopy image analysis and cellular phenotyping},
  year={2017},
  pages={70-75},
  language={eng},
  issn={1873-4863},
  volume={261},
  note={Gesehen am 23.10.2018},
  journal={Journal of biotechnology},
  doi={10.1016/j.jbiotec.2017.07.019},
}