PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983253

  Huxohl, T.; Patel, G.; Zabel, R.; Burchert, W. (2023): Deep learning approximation of attenuation maps for myocardial perfusion SPECT with an IQ⋅SPECT collimator EJNMMI Physics,10:(1):49

  PUB | DOI
   
• [6]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980097

  Huxohl, T.; Burchert, W. (2023): Deep learning approximation of attenuation maps for myocardial perfusion SPECT using a Siemens Symbia Intevo SPECT/CT scanner. In: 61. Jahrestagung der Deutschen Gesellschaft für Nuklearmedizin. Thieme. (Nuklearmedizin - NuclearMedicine, 62). S. 115-116.

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• [5]
  

  2023 | Bielefelder E-Dissertation | PUB-ID: 2979082

  Huxohl, T. (2023): Deep Learning Based Salient Object Detection for the Detection of Stains and Holes on Patterned Laundry. Bielefeld: Universität Bielefeld.

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• [4]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958083

  Huxohl, T.; Kummert, F. (2021): Model-Assisted Labeling and Self-Training for Label Noise Reduction in the Detection of Stains on Images of Laundry Mathematics,9:(19): 2498.

  PUB | PDF | DOI | Download (ext.) | WoS
   
• [3]
  

  2021 | Konferenzbeitrag | PUB-ID: 2957119

  Huxohl, T.; Kummert, F. (2021): Region Detection Rate: An Applied Measure for Surface Defect Localization. In: 2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

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• [2]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957118

  Huxohl, T.; Kummert, F. (2021): Evaluating Outlines as a Means to Segment Stains — A User Study. In: 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE.

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• [1]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2939156

  Huxohl, T.; Pohling, M.; Carlmeyer, B.; Wrede, B.; Hermann, T. (2019): Interaction Guidelines for Personal Voice Assistants in Smart Homes. In: 2019 International Conference on Speech Technology and Human-Computer Dialogue (SpeD). Piscataway, NJ: IEEE. S. 1-10.

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