activity
20192024
most citedImage segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks

8 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 8 cited

Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks

Matthias Streller, Soňa Michlíková, Willy Ciecior +4

Multicellular tumor spheroids (MCTS) are advanced cell culture systems for assessing the impact of combinatorial radio(chemo)therapy. They exhibit therapeutically relevant in-vivo-…

physics.bio-ph2024★ 2 cited

Generalized, sublethal damage-based mathematical approach for improved modeling of clonogenic survival curve flattening upon hyperthermia, radiotherapy, and beyond

Adriana M. De Mendoza, Soňa Michlíková, Paula S. Castro +4

Mathematical modeling can offer valuable insights into the behavior of biological systems upon treatment. Different mathematical models have been designed to predict the efficacy o…

physics.bio-ph2020

Mathematical model for the thermal enhancement of radiation response: Thermodynamic approach

Adriana M. De Mendoza, Soňa Michlíková, Johann Berger +3

Radiotherapy can effectively kill malignant cells, but the doses required to cure cancer patients may inflict severe collateral damage to adjacent healthy tissues. Hyperthermia (HT…

physics.acc-ph2019

Spectral and spatial shaping of laser-driven proton beams using a pulsed high-field magnet beamline

Florian-Emanuel Brack, Florian Kroll, Lennart Gaus +17

Intense laser-driven proton pulses, inherently broadband and highly divergent, pose a challenge to established beamline concepts on the path to application-adapted irradiation fiel…