
Department of Radiation Oncology
Position: Research Associate (Postdoc)
ORCID: 0000-0002-7461-3956
T +43 1 40400 72710
Keywords
Artificial Intelligence; Medical Physics; Radiation Oncology
Research group(s)
- Medical Radiation Research
Head: Dietmar Georg
Research Area: The vision of our group is the optimization of the treatment outcome of radiation oncology, alone or in combination with established chemotherapy or novel targeted strategies of drug treatment, with conventional photon or innovative ion-beams.
Members:
Selected publications
- Heilemann, G. et al. (2023) ‘On the sensitivity of PROMs during breast radiotherapy’, Clinical and Translational Radiation Oncology, 39, p. 100572. Available at: http://dx.doi.org/10.1016/j.ctro.2022.100572.
- Heilemann, G. et al. (2022) ‘Can Generative Adversarial Networks help to overcome the limited data problem in segmentation?’, Zeitschrift für Medizinische Physik, 32(3), pp. 361–368. Available at: http://dx.doi.org/10.1016/j.zemedi.2021.11.006.
- Zimmermann, L. et al. (2021) ‘Technical Note: Dose prediction for radiation therapy using feature‐based losses and One Cycle Learning’, Medical Physics, 48(9), pp. 5562–5566. Available at: http://dx.doi.org/10.1002/mp.14774.
- Heilemann, G. et al. (2017) ‘Treatment plan optimization and robustness of 106Ru eye plaque brachytherapy using a novel software tool’, Radiotherapy and Oncology, 123(1), pp. 119–124. Available at: http://dx.doi.org/10.1016/j.radonc.2017.01.010.
- Heilemann, G., Poppe, B. and Laub, W. (2013) ‘On the sensitivity of common gamma-index evaluation methods to MLC misalignments in Rapidarc quality assurance’, Medical Physics, 40(3), p. 031702. Available at: http://dx.doi.org/10.1118/1.4789580.