Publikationen

Nachfolgend finden Sie Publikationen von Mitarbeitenden des Instituts für Angewandte Mathematik und Physik (IAMP) nach Erscheinungsdatum sortiert:

Dieper, Anna; Scheidegger, Stephan; Füchslin, Rudolf M.; Veltsista, Paraskevi D.; Stein, Ulrike; Weyland, Mathias; Gerster, Dominik; Beck, Marcus; Bengtsson, Olof; Zips, Daniel; Ghadjar, Pirus,

2024.

Literature review: potential non-thermal molecular effects of external radiofrequency electromagnetic fields on cancer.

International Journal of Hyperthermia.

41(1), S. 2379992.

Verfügbar unter: https://doi.org/10.1080/02656736.2024.2379992
Venturini, Francesca; Fluri, Silvan; Mejari, Manas; Baumgartner, Michael; Piga, Dario; Michelucci, Umberto,

2024.

Shedding light on the ageing of extra virgin olive oil : probing the impact of temperature with fluorescence spectroscopy and machine learning techniques.

LWT - Food Science and Technology.

191(115679).

Verfügbar unter: https://doi.org/10.1016/j.lwt.2023.115679
Mingo Barba, Sergio; Lobo-Cerna, Fernando; Krawczyk, Przemek M.; Lattuada, Marco; Füchslin, Rudolf M.; Petri-Fink, Alke; Scheidegger, Stephan,

2024.

The use of survival dose-rate dependencies as theoretical discrimination criteria for in-silico dynamic radiobiological models.

Dose-Response.

22(3).

Verfügbar unter: https://doi.org/10.1177/15593258241279906
Mingo Barba, Sergio; Ademaj, Adela; Marder, Dietmar; Riesterer, Oliver; Lattuada, Marco; Füchslin, Rudolf Marcel; Petri-Fink, Alke; Scheidegger, Stephan,

2024.

Theoretical evaluation of the impact of diverse treatment conditions by calculation of the tumor control probability (TCP) of simulated cervical cancer Hyperthermia-Radiotherapy (HT-RT) treatments in-silico.

International Journal of Hyperthermia.

41(1), S. 2320852.

Verfügbar unter: https://doi.org/10.1080/02656736.2024.2320852
Denzel, Philipp; Brunner, Stefan; Luley, Paul-Philipp; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Schilling, Frank-Peter; Amini, Amin; Repetto, Marco; Iranfar, Arman; Weng, Joanna; Chavarriaga, Ricardo,

2023.

A framework for assessing and certifying explainability of health-oriented AI systems.

In:

Explainable AI in Medicine Workshop, Lugano, Switzerland, 2-3 November 2023.