@article{UBHD-68258235,
  author={Andres, Bj{\"o}rn and K{\"o}the, Ullrich and Kr{\"o}ger, Thorben and Denk, Winfried and Hamprecht, Fred},
  title={3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries},
  year={2012},
  pages={796-805},
  language={eng},
  issn={1361-8423},
  volume={16},
  number={4},
  note={Available online 19 December 2011 ; Gesehen am 06.06.2018},
  journal={Medical image analysis},
  doi={10.1016/j.media.2011.11.004},
}
@book{UBHD-68579261,
  author={Berg, Stuart and Kutra, Dominik and Kr{\"o}ger, Thorben and Straehle, Christoph-Nikolas and Kausler, Bernhard and Haubold, Carsten and Schiegg, Martin and Aleš, Janez and Beier, Thorsten and Rudy, Markus and Eren, Kemal and Cervantes, Jaime I and Xu, Buote and Beuttenmueller, Fynn and Wolny, Adrian and Zhang, Chong and K{\"o}the, Ullrich and Hamprecht, Fred and Kreshuk, Anna},
  title={ilastik},
  subtitle={interactive machine learning for (bio)image analysis},
  publisher={Nature Publishing Group},
  address={London, New York},
  year={2019},
  pages={1 Online-Ressource (9 Seiten)},
  language={eng},
  note={In: Nature Methods, 2019 (September 2019), Nr. 16. pp. 1-9. ISSN 1548-7105 (Online-Ausg.), 1548-7091 (Druck-Ausg.)},
  doi={10.1038/s41592-019-0582-9},
  keywords={Deep Learning / Mikroskopie / Maschinelles Lernen / Bildanalyse / Software},
  url={https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-282831},
  library={UB},
}
@article{UBHD-68470484,
  author={Berg, Stuart and Kutra, Dominik and Kr{\"o}ger, Thorben and Straehle, Christoph-Nikolas and Kausler, Bernhard and Haubold, Carsten and Schiegg, Martin and Aleš, Janez and Beier, Thorsten and Rudy, Markus and Eren, Kemal and Cervantes, Jaime I. and Xu, Buote and Beuttenmueller, Fynn and Wolny, Adrian and Zhang, Chong and K{\"o}the, Ullrich and Hamprecht, Fred and Kreshuk, Anna},
  title={ilastik},
  subtitle={interactive machine learning for (bio)image analysis},
  year={2019},
  pages={1226-1232},
  language={eng},
  issn={1548-7105},
  volume={16},
  number={12},
  note={Gesehen am 23.12.2019},
  journal={Nature methods},
  doi={10.1038/s41592-019-0582-9},
}
@article{UBHD-68760164,
  author={Fuchs, Patrick and Kr{\"o}ger, Thorben and Garbe, Christoph S.},
  title={Defect detection in CT scans of cast aluminum parts},
  subtitle={a machine vision perspective},
  year={2021},
  pages={85-96},
  language={eng},
  issn={1872-8286},
  volume={453},
  note={Gesehen am 14.07.2021},
  journal={Neurocomputing},
  doi={10.1016/j.neucom.2021.04.094},
}
@article{UBHD-68586315,
  author={Kappes, J{\"o}rg Hendrik and Hamprecht, Fred and Schn{\"o}rr, Christoph and Kausler, Bernhard and Kr{\"o}ger, Thorben and Savchynskyy, Bogdan},
  title={A comparative study of modern inference techniques for structured discrete energy minimization problems},
  year={2015},
  pages={155-184},
  language={eng},
  issn={1573-1405},
  volume={115},
  number={2},
  note={Gesehen am 16.06.2020},
  journal={International journal of computer vision},
  doi={10.1007/s11263-015-0809-x},
}
@incollection{UBHD-67768954,
  author={Kappes, J{\"o}rg Hendrik and Hamprecht, Fred and Schn{\"o}rr, Christoph and Kausler, Bernhard and Kr{\"o}ger, Thorben and Savchynskyy, Bogdan},
  title={A comparative study of modern inference techniques for structured discrete energy minimization problems},
  year={2014},
  pages={30 S.},
  language={eng},
  note={Gesehen am 16.06.2020},
  booktitle={De.arxiv.org},
}
@book{UBHD-67592131,
  author={Kr{\"o}ger, Thorben},
  title={Learning-based segmentation for connectomics},
  year={2014},
  pages={XI, 162 S.},
  language={eng},
  note={Zsfassung in dt. Sprache},
  school={Heidelberg, Univ., Diss., 2014},
  keywords={Bildsegmentierung / Optimierung / Maschinelles Lernen},
  library={UB [Signatur: 2014 U 543] ; MA [Signatur: Diss. Kroege]},
}
@book{UBHD-67645105,
  author={Kr{\"o}ger, Thorben},
  title={Learning-based Segmentation for Connectomics},
  year={2014},
  pages={Online-Ressource (178 S.)},
  language={eng},
  note={Zsfassung in dt. und engl. Sprache},
  school={Heidelberg, Univ., Diss., 2014},
  doi={10.11588/heidok.00016834},
  keywords={Bildsegmentierung / Optimierung / Maschinelles Lernen},
  url={http://www.ub.uni-heidelberg.de/archiv/16834},
  library={UB},
}