7 Publikationen

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  • [7]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2983253
    T. Huxohl, et al., “Deep learning approximation of attenuation maps for myocardial perfusion SPECT with an IQ⋅SPECT collimator”, EJNMMI Physics, vol. 10, 2023, : 49.
    PUB | DOI
     
  • [6]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980097
    T. Huxohl and W. Burchert, “Deep learning approximation of attenuation maps for myocardial perfusion SPECT using a Siemens Symbia Intevo SPECT/CT scanner”, 61. Jahrestagung der Deutschen Gesellschaft für Nuklearmedizin, Nuklearmedizin - NuclearMedicine, vol. 62, Thieme, 2023, pp.115-116.
    PUB | DOI
     
  • [5]
    2023 | Bielefelder E-Dissertation | PUB-ID: 2979082 OA
    T. Huxohl, Deep Learning Based Salient Object Detection for the Detection of Stains and Holes on Patterned Laundry, Bielefeld: Universität Bielefeld, 2023.
    PUB | PDF | DOI
     
  • [4]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958083 OA
    T. Huxohl and F. Kummert, “Model-Assisted Labeling and Self-Training for Label Noise Reduction in the Detection of Stains on Images of Laundry”, Mathematics, vol. 9, 2021, pp. 2498.
    PUB | PDF | DOI | Download (ext.) | WoS
     
  • [3]
    2021 | Konferenzbeitrag | PUB-ID: 2957119
    T. Huxohl and F. Kummert, “Region Detection Rate: An Applied Measure for Surface Defect Localization”, 2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2021.
    PUB | DOI
     
  • [2]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957118
    T. Huxohl and F. Kummert, “Evaluating Outlines as a Means to Segment Stains — A User Study”, 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), IEEE, 2021.
    PUB | DOI
     
  • [1]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2939156 OA
    T. Huxohl, et al., “Interaction Guidelines for Personal Voice Assistants in Smart Homes”, 2019 International Conference on Speech Technology and Human-Computer Dialogue (SpeD), Piscataway, NJ: IEEE, 2019, pp.1-10.
    PUB | PDF | DOI
     

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