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Freymüller, Christian 
ORCID: https://orcid.org/0000-0002-3014-297X; Ströl, Stephan ORCID: https://orcid.org/0000-0002-0384-0318; Aumiller, Maximilian ORCID: https://orcid.org/0000-0002-1343-6669; Eisel, Maximilian ORCID: https://orcid.org/0000-0002-7321-7302; Sroka, Ronald ORCID: https://orcid.org/0000-0001-7952-2407 und Rühm, Adrian
(2022):
Development of a microstructured tissue phantom with adaptable optical properties for use with microscopes and fluorescence lifetime imaging systems.
In: Lasers in Surgery and Medicine, Bd. 54, Nr. 7: S. 1010-1026
[PDF, 2MB]
ORCID: https://orcid.org/0000-0002-3014-297X; Ströl, Stephan ORCID: https://orcid.org/0000-0002-0384-0318; Aumiller, Maximilian ORCID: https://orcid.org/0000-0002-1343-6669; Eisel, Maximilian ORCID: https://orcid.org/0000-0002-7321-7302; Sroka, Ronald ORCID: https://orcid.org/0000-0001-7952-2407 und Rühm, Adrian
(2022):
Development of a microstructured tissue phantom with adaptable optical properties for use with microscopes and fluorescence lifetime imaging systems.
In: Lasers in Surgery and Medicine, Bd. 54, Nr. 7: S. 1010-1026
[PDF, 2MB]
Mittermeier, Andreas; Reidler, Paul; Fabritius, Matthias P.; Schachtner, Balthasar; Wesp, Philipp; Ertl-Wagner, Birgit; Dietrich, Olaf; Ricke, Jens; Kellert, Lars; Tiedt, Steffen; Kunz, Wolfgang G. und Ingrisch, Michael
(2022):
End-to-End Deep Learning Approach for Perfusion Data: A Proof-of-Concept Study to Classify Core Volume in Stroke CT.
In: Diagnostics, Bd. 12, Nr. 5
[PDF, 1MB]
Tattenberg, Sebastian; Marants, Raanan; Niepel, Katharina; Bortfeld, Thomas; Sudhyadhom, Atchar; Landry, Guillaume; Parodi, Katia und Verburg, Joost
(2022):
Validation of prompt gamma-ray spectroscopy for proton range verification in tissue-mimicking and porcine samples.
In: Physics in Medicine and Biology, Bd. 67, Nr. 20, 205006
Kawula, Maria; Purice, Dinu; Li, Minglun; Vivar, Gerome; Ahmadi, Seyed-Ahmad; Parodi, Katia; Belka, Claus; Landry, Guillaume und Kurz, Christopher
(2022):
Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer.
In: Radiation Oncology, Bd. 17, Nr. 1, 21
Taphorn, Kirsten; Busse, Madleen; Brantl, Johannes; Guenther, Benedikt; Diaz, Ana; Holler, Mirko; Dierolf, Martin; Mayr, Doris; Pfeiffer, Franz und Herzen, Julia
(2022):
X-ray Stain Localization with Near-Field Ptychographic Computed Tomography.
In: Advanced Science, Bd. 9, Nr. 24, 2201723
Wang, Yiling; Lombardo, Elia; Avanzo, Michele; Zschaek, Sebastian; Weingaertner, Julian; Holzgreve, Adrien; Albert, Nathalie L.; Marschner, Sebastian; Fanetti, Giuseppe; Franchin, Giovanni; Stancanello, Joseph; Walter, Franziska; Corradini, Stefanie; Niyazi, Maximilian; Lang, Jinyi; Belka, Claus; Riboldi, Marco; Kurz, Christopher und Landry, Guillaume
(2022):
Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis.
In: Computer Methods and Programs in Biomedicine, Bd. 222, 106948
Hu, Guyue; Niepel, Katharina; Risch, Franka; Kurz, Christopher; Würl, Matthias; Kröncke, Thomas; Schwarz, Florian; Parodi, Katia und Landry, Guillaume
(2022):
Assessment of quantitative information for radiation therapy at a first-generation clinical photon-counting computed tomography scanner.
In: Frontiers in Oncology, Bd. 12, 970299