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1.
Harrison, R.M.* et al.: Eurados strategic research agenda 2020: Vision for the dosimetry of ionising radiation. Radiat. Prot. Dosim. 194, 42-56 (2021)
2.
Fehrmann, M. ; Schegerer, A.* ; Werncke, T.* & Schlattl, H.: Comparison of experimental and numerical methods of patient dose estimations in CT using anthropomorphic models. Radiat. Prot. Dosim. 190, 71-83 (2020)
3.
Baiocco, G.* et al.: What roles for track-structure and microdosimetry in the era of-omics and systems biology? Radiat. Prot. Dosim. 183, 22-25 (2019)
4.
Bandalo, V. ; Greiter, M. ; Brönner, J. & Hödlmoser, H.*: ISO 4037-2019 validation of radiation qualities by means of half-value layer and. Hp(10) dosimetry. Radiat. Prot. Dosim. 187, 438-450 (2019)
5.
Barbieri, S.* et al.: Modeliing γ-H2AX foci induction to mimic limitations in the scoring technique. Radiat. Prot. Dosim. 183, 121-125 (2019)
6.
Friedland, W. et al.: Modeling studies on dicentrics induction after sub-micrometer focused ion beam grid irradiation. Radiat. Prot. Dosim. 183, 40-44 (2019)
7.
Friedland, W. ; Kundrát, P. ; Schmitt, E. ; Becker, J. & Li, W.B.: Modelling DNA damage by photons and light ions over energy ranges used in medical applications. Radiat. Prot. Dosim. 183, 84-88 (2019)
8.
Friedland, W. ; Kundrát, P. ; Becker, J. & Eidemüller, M.: Biophysical simulation tool partrac: Modelling proton beams at therapy-relevant energies. Radiat. Prot. Dosim. 186, 172-175 (2019)
9.
Hödlmoser, H. ; Brönner, J. ; Bandalo, V. ; Wahl, F.* & Greiter, M.: Simulation of OSL and TLD dosemeter response for the development of new extremity dosemeters. Radiat. Prot. Dosim. 185, 222-230 (2019)
10.
Kundrát, P. & Friedland, W.: Mechanistic modeling predicts anti-carcinogenic radiation effects on intercellular signaling in vitro turn pro-carcinogenic in vivo. Radiat. Prot. Dosim. 183, 223-227 (2019)
11.
Kundrát, P. et al.: Inter-patient variability in doses to nearby organs in breast-cancer radiotherapy: Inference from anatomic features. Radiat. Prot. Dosim. 183, 255-258 (2019)
12.
Kundrát, P. et al.: What anatomic features govern personal long-term health risks from breast cancer radiotherapy? Radiat. Prot. Dosim. 186, 381-385 (2019)
13.
Sholom, S.* ; Wieser, A. & McKeever, S.W.S.*: A comparison of different spectra deconvolution methods used in EPR dosimetry with Gorilla® glasses. Radiat. Prot. Dosim. 186, 54-59 (2019)
14.
Wieser, A. ; Kulka, U.* ; Port, M.* & Roy, L.*: EPRBioDose 2018: The joint international symposium on EPR dosimetry and dating and the international conference of biological dosimetry. Radiat. Prot. Dosim. 186, 1-2 (2019)
15.
Ainsbury, E.A.* et al.: Uncertainty on radiation doses estimated by biological and retrospective physical methods. Radiat. Prot. Dosim. 178, 382–404 (2018)
16.
Bandalo, V. ; Brönner, J. ; Greiter, M. & Hödlmoser, H.: A fully automated secondary standard x-ray calibration facility for personal dosemeters. Radiat. Prot. Dosim. 184, 73-78 (2018)
17.
Eidemüller, M. et al.: Long-term health risk after breast-cancer radiotherapy: Overview of passos methodology and software. Radiat. Prot. Dosim., DOI: 10.1093/rpd/ncy219 (2018)
18.
Kulka, U.* et al.: Biodosimetry and biodosimetry networks for managing radiation emergency. Radiat. Prot. Dosim. 182, 128-138 (2018)
19.
Shishkina, E.A.* et al.: Application of EPR tooth dosimetry for validation of the calculated external doses: Experience in dosimetry for the techa river cohort. Radiat. Prot. Dosim. 186, 70-77 (2018)
20.
Tanha, M.R.* et al.: Measurements in Afghanistan using an active radon exposure meter and assessment of related annual effective dose. Radiat. Prot. Dosim. 178, 122-130 (2018)