@article{UBHD-68563822,
  author={Brugnara, Gianluca and Isensee, Fabian and Neuberger, Ulf and Bonekamp, David and Petersen, Jens and Diem, Ricarda and Wildemann, Brigitte and Heiland, Sabine and Wick, Wolfgang and Bendszus, Martin and Maier-Hein, Klaus H. and Vollmuth, Philipp},
  title={Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis},
  year={2020},
  pages={2356-2364},
  language={eng},
  issn={1432-1084 and 1613-3757},
  volume={30},
  number={4},
  note={Gesehen am 14.04.2020},
  journal={European radiology},
  doi={10.1007/s00330-019-06593-y},
}
@article{UBHD-68873382,
  author={Jayachandran Preetha, Chandrakanth and Meredig, Hagen and Brugnara, Gianluca and Mahmutoglu, Mustafa A. and Foltyn-Dumitru, Martha and Isensee, Fabian and Keßler, Tobias and Pfl{\"u}ger, Irada and Schell, Marianne and Neuberger, Ulf and Petersen, Jens and Wick, Antje and Heiland, Sabine and Debus, J{\"u}rgen and Platten, Michael and Idbaih, Ahmed and Brandes, Alba A. and Winkler, Frank and van den Bent, Martin J and Nabors, Burt and Stupp, Roger and Maier-Hein, Klaus H. and Gorlia, Thierry and Tonn, J{\"o}rg-Christian and Weller, Michael and Wick, Wolfgang and Bendszus, Martin and Vollmuth, Philipp},
  title={Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology},
  subtitle={a multicentre, retrospective cohort study},
  year={2021},
  pages={e784-e794},
  language={eng},
  issn={2589-7500},
  volume={3},
  number={12 vom: Dez.},
  note={Gesehen am 02.02.2022},
  journal={The lancet},
  doi={10.1016/S2589-7500(21)00205-3},
}
@article{UBHD-68576369,
  author={Kleesiek, Jens Philipp and Petersen, Jens and D{\"o}ring, Markus and Maier-Hein, Klaus H. and K{\"o}the, Ullrich and Wick, Wolfgang and Hamprecht, Fred and Bendszus, Martin and Biller, Armin},
  title={Virtual raters for reproducible and objective assessments in radiology},
  year={2016},
  pages={11 S.},
  language={eng},
  issn={2045-2322},
  volume={6(2016) Artikel-Nummer 25007},
  number={11 Seiten},
  note={Gesehen am 13.05.2020},
  journal={Scientific reports},
  doi={10.1038/srep25007},
}
@article{UBHD-68293928,
  author={Petersen, Jens and Bendszus, Martin and Debus, J{\"u}rgen and Heiland, Sabine and Maier-Hein, Klaus H.},
  title={Effective user interaction in online interactive semantic segmentation of glioblastoma magnetic resonance imaging},
  year={2017},
  language={eng},
  issn={2329-4310},
  volume={4(2017},
  note={Gesehen am 09.08.2018},
  journal={Journal of medical imaging},
  doi={10.1117/1.JMI.4.3.034001},
}
@book{UBHD-68722359,
  author={Petersen, Jens},
  organization={Universit{\"a}t Heidelberg},
  title={Learning distributions of functions on a continuous time domain},
  publisher={Universit{\"a}tsbibliothek Heidelberg},
  address={Heidelberg},
  year={2020},
  pages={xx, 179 Seiten},
  language={eng},
  school={Dissertation,  Heidelberg University,  2020},
  keywords={Maschinelles Lernen / Maschinelles Sehen / Deep Learning},
  library={UB [Signatur: 2021 U 243]},
}
@book{UBHD-68681260,
  author={Petersen, Jens},
  title={Learning distributions of functions on a continuous time domain},
  publisher={Universit{\"a}tsbibliothek Heidelberg},
  address={Heidelberg},
  year={2020},
  pages={1 Online-Ressource (199 Seiten)},
  language={eng},
  school={Dissertation,  Heidelberg University,  2020},
  doi={10.11588/heidok.00029234},
  keywords={Maschinelles Lernen / Maschinelles Sehen / Deep Learning},
  url={https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-292346},
  library={UB},
}
@article{UBHD-68441022,
  author={Vollmuth, Philipp and Pfl{\"u}ger, Irada and Petersen, Jens and Neuberger, Ulf and Brugnara, Gianluca and Schell, Marianne and Keßler, Tobias and Foltyn-Dumitru, Martha and Harting, Inga and Sahm, Felix and Prager, Marcel and Nowosielski, Martha and Wick, Antje and Radbruch, Alexander and Debus, J{\"u}rgen and Schlemmer, Heinz-Peter and Heiland, Sabine and Platten, Michael and Deimling, Andreas von and Wick, Wolfgang and Bendszus, Martin and Maier-Hein, Klaus H.},
  title={Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks},
  subtitle={a multicentre, retrospective study},
  year={2019},
  pages={728-740},
  language={eng},
  issn={1474-5488},
  volume={20},
  number={5},
  note={Gesehen am 16.10.2019},
  journal={The lancet},
  doi={10.1016/S1470-2045(19)30098-1},
}