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Detail

Gerd Heilemann
Gerd Heilemann, PhD

Department of Radiation Oncology
Position: Research Associate (Postdoc)

ORCID: 0000-0002-7461-3956
T +43 1 40400 72710

Further Information

Keywords

Artificial Intelligence; Medical Physics; Radiation Oncology

Research group(s)

Grants

Selected publications

  1. Heilemann, G. et al. (2023) ‘Generating deliverable DICOM RT treatment plans for prostate VMAT by predicting MLC motion sequences with an encoder‐decoder network’, Medical Physics [Preprint]. Available at: http://dx.doi.org/10.1002/mp.16545.
  2. Heilemann, G. et al. (2023) ‘Clinical Implementation and Evaluation of Auto-Segmentation Tools for Multi-Site Contouring in Radiotherapy’, Physics and Imaging in Radiation Oncology, 28, p. 100515. Available at: https://doi.org/10.1016/j.phro.2023.100515.
  3. Heilemann, G. et al. (2024) ‘Automation of ePROMs in radiation oncology and its impact on patient response and bias’, Radiotherapy and Oncology, 199, p. 110427. Available at: https://doi.org/10.1016/j.radonc.2024.110427.
  4. Heilemann, G. et al. (2023) ‘Increasing Quality and Efficiency of the Radiotherapy Treatment Planning Process by Constructing and Implementing a Workflow-Monitoring Application’, JCO Clinical Cancer Informatics [Preprint], (7). Available at: http://dx.doi.org/10.1200/cci.23.00005.
  5. 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.