Régine GSCHWIND

Site de Montbéliard
UMR 6249 Chrono-environnement
4 place Tharradin,
25200 Montbéliard
France

Régine gschwind

Professor UFC
POLLUTION

regine.gschwind@-Code to remove to avoid SPAM-univ-fcomte.fr
+33 (0)3 81 99 46 75, room 6 (Montbéliard)


ORCID logo 0000-0002-9521-0515   HAL logo regine-gschwind

Dosimetry – Radiation protection – Radiotherapy – Monte-Carlo simulation – Dosimetric gels

Presentation

As head of the Montbéliard site, my research focuses on the development of absorbed dose calculation methods combining artificial intelligence and Monte Carlo simulation, and on 3D dosimetry using gels in external radiotherapy.

Projects

  • PHC Toubkhal France-Maroc : étude des photo-neutrons produits dans les accélérateurs linéaires médicaux
  • Fadogel : évaluation des faibles doses par gels dopés aux nanoparticules

 

Publications

Journal articles

2024

ref_biblio
L. Ermeneux, A. Petitfils, L. Marage, R. Gschwind, Christelle Huet. Dosimetry with the TruView gel on a 0.35 T MR-Linac: A feasibility study. Radiation Measurements, 2024, 175, pp.107170. ⟨10.1016/j.radmeas.2024.107170⟩. ⟨hal-04609626⟩
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https://hal.science/hal-04609626/file/1-s2.0-S1350448724001185-main.pdf BibTex
ref_biblio
V. Lagedamon, P.-E. Leni, R. Gschwind. Deep learning applied to dose prediction in external radiation therapy: A narrative review. Cancer/Radiothérapie, 2024, 28 (4), pp.402-414. ⟨10.1016/j.canrad.2024.03.005⟩. ⟨hal-04689386⟩
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2021

ref_biblio
Julie Colnot, Sofia Zefkili, Regine Gschwind, Christelle Huet. Out-of-field doses from radiotherapy using photon beams: A comparative study for a pediatric renal treatment. Journal of Applied Clinical Medical Physics, 2021, 22 (3), pp.94 - 106. ⟨10.1002/acm2.13182⟩. ⟨hal-03257648⟩
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https://hal.science/hal-03257648/file/0000167410_001.PDF BibTex

2020

ref_biblio
C. Schieber, C. Pölzl-Viol, M.-C. Cantone, N. Železnik, S. Economides, et al.. Engaging health professionals and patients in the medical field: role of radiological protection culture and informed consent practices. Radioprotection, 2020, 55, pp.S235-S242. ⟨10.1051/radiopro/2020039⟩. ⟨hal-03257735⟩
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ref_biblio
C. Turcanu, C. Schieber, T. Schneider, C. Fallon, R. Geysmans, et al.. Stakeholder engagement in the management of indoor radon exposures. Radioprotection, 2020, 55, pp.S227-S233. ⟨10.1051/radiopro/2020038⟩. ⟨hal-03257705⟩
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2019

ref_biblio
J Colnot, V Barraux, C Loiseau, P Berejny, A Batalla, et al.. A new Monte Carlo model of a Cyberknife ® system for the precise determination of out-of-field doses. Physics in Medicine and Biology, 2019, 64 (19), pp.195008. ⟨10.1088/1361-6560/ab38e5⟩. ⟨hal-03538051⟩
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Conference papers

2019

ref_biblio
Julie Colnot, V Barraux, Cédric Loiseau, Alain Batalla, Regine Gschwind, et al.. 3-D Validation of a Monte-Carlo model of a Cyberknife system dedicated to the determination of out-of-field doses. AAPM 2019, Jul 2019, San Antonio (TX), United States. ⟨irsn-04337795⟩
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2018

ref_biblio
Pierre-Emmanuel Leni, R Gschwind, L. Makovicka. Application des réseaux de neurones à la planification de traitement en radiothérapie externe. Journées scientifiques SFRP-Codes de calcul en radioprotection, radiophysique et dosimétrie, Feb 2018, Sochaux, France. ⟨hal-03530221⟩
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2006

ref_biblio
H. Masset, Jl. Dumas, R. Gschwind, L. Makovicka. Dosimetric consequences of internal movement in radiotherapy treatment with dynamic wedges,. 10th International Symposium on Radiation Physics,, Sep 2006, Coimbra, Portugal. pp.D-56. ⟨hal-00436708⟩
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Poster communications

2019

ref_biblio
Pierre-Emmanuel Leni, R Gschwind, L. Makovicka, Intuon Lertrusdachakul. Computing IMRT dose distributions with artificial intelligence. ICCR, Jun 2019, Montréal, Canada. ⟨hal-03530214⟩
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