
Site de Montbéliard
UMR 6249 Chrono-environnement
4 place Tharradin,
25200 Montbéliard
France
Régine Gschwind
Professeure – UMLP
POLLUTION
POLLUTION
regine.gschwind@-Code to remove to avoid SPAM-univ-fcomte.fr
+33 (0)3 81 99 46 75, bureau 6 (Montbéliard)
+33 (0)3 81 99 46 75, bureau 6 (Montbéliard)
Étudiant⋅e ou post-doc Chrono :
Dosimétrie – Radioprotection – Radiothérapie – Simulation Monte-Carlo – Gels dosimétriques
Présentation
Responsable de l’antenne de Montbéliard, mes recherches portent à la fois sur le développement de méthodes de calcul de la dose absorbée associant intelligence artificielle et simulation Monte-Carlo et sur la dosimétrie 3D par gels en radiothérapie externe.
Projets
- 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
13 documents
Articles dans une revue
- Intuon Lertrusdachakul, Pierre-Emmanuel Leni, Régine Gschwind, Coralie Bertheau. Deep learning for genera-level bark beetle taxonomic classification. Forest Ecology and Management, 2025, 598, pp.123190. ⟨10.1016/j.foreco.2025.123190⟩. ⟨hal-05282239⟩
- A. Saadi, A. Elanique, R. Gschwind, P.E. Leni, Y. Aguezzoumen, et al.. Neutron source strength of Clinac 2100C, Elekta Versa HD, & Varian TrueBeam: An experimental and Monte Carlo Study. Radiation Physics and Chemistry, 2025, 238, pp.113167. ⟨10.1016/j.radphyschem.2025.113167⟩. ⟨hal-05242391⟩
- Intuon Lertrusdachakul, Valentin Lagedamon, Pierre-Emmanuel Leni, Régine Gschwind. Novel EBT3 film calibration using an integrated HSV color space analysis. Physica Medica European Journal of Medical Physics, 2024, 126, pp.104830. ⟨10.1016/j.ejmp.2024.104830⟩. ⟨hal-04824029⟩
- 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⟩
- 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⟩
- 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⟩
- 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⟩
- 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⟩
- 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⟩
Communications dans un congrès
- 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⟩
- 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⟩
- 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⟩
Poster de conférence
- Pierre-Emmanuel Leni, R Gschwind, L. Makovicka, Intuon Lertrusdachakul. Computing IMRT dose distributions with artificial intelligence. ICCR, Jun 2019, Montréal, Canada. ⟨hal-03530214⟩
