Possibilities of a Seed Control after the Implantation by using MRI and Deep Learning-based QSM Reconstruction

Grigo J, Karius A, Hanspach J, Weissmann T, Laun FB, Strnad V, Putz F, Bert C (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Strahlentherapie und Onkologie Urban & Vogel

Publisher: SPRINGER HEIDELBERG

City/Town: HEIDELBERG

Pages Range: S54-S55

Conference Proceedings Title: STRAHLENTHERAPIE UND ONKOLOGIE

Authors with CRIS profile

Johanna Grigo Department of Radiation Oncology Andre Karius Department of Radiation Oncology Jannis Hanspach Professur für quantitative MR-Bildgebung (Heisenberg-Professur) Thomas Weissmann Department of Radiation Oncology Frederik Bernd Laun Professur für quantitative MR-Bildgebung (Heisenberg-Professur) Vratislav Strnad Department of Radiation Oncology Florian Putz Department of Radiation Oncology Christoph Bert Professur für Med. Strahlenphysik

How to cite

APA:

Grigo, J., Karius, A., Hanspach, J., Weissmann, T., Laun, F.B., Strnad, V.,... Bert, C. (2022). Possibilities of a Seed Control after the Implantation by using MRI and Deep Learning-based QSM Reconstruction. In STRAHLENTHERAPIE UND ONKOLOGIE (pp. S54-S55). HEIDELBERG: SPRINGER HEIDELBERG.

MLA:

Grigo, Johanna, et al. "Possibilities of a Seed Control after the Implantation by using MRI and Deep Learning-based QSM Reconstruction." Proceedings of the STRAHLENTHERAPIE UND ONKOLOGIE HEIDELBERG: SPRINGER HEIDELBERG, 2022. S54-S55.

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