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Data-driven stopping power calibration of the treatment planning x-ray CT using sparse-view ion radiographies

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Saturn

Poster

Data-driven stopping power calibration of the treatment planning x-ray CT using sparse-view ion radiographies

Themen

  • Artificial intelligence
  • Innovative radiotherapy and medical imaging

Mitwirkende

Ines Butz (Garching / DE), Dr. Hector Andrade Loarca (Munich / DE), Professor Angelo Schiavi (Rome / IT), Professor Vincenzo Patera (Rome / IT), Ozan Oektem (Stockholm / SE), Professor Gitta Kutyniok (Munich / DE), Prof. Dr. Katia Parodi (Garching / DE; Munich / DE), Dr. Chiara Gianoli (Garching / DE)

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