Publikationen


Radiosynthesis of stable 198Au-nanoparticles by neutron activation of αvβ3-specific AuNPs for therapy of tumor angiogenesis

30.11.2023

Davarci G, Wängler C, Eberhardt K, Geppert C, Schirrmacher R, Freudenberg R, Pretze M, Wängler B (2023) Radiosynthesis of stable 198Au-nanoparticles by neutron activation of αvβ3-specific AuNPs for therapy of tumor angiogenesis. Pharmaceuticals, 16(12), 1670. DOI: 10.3390/ph16121670. Abstract This paper reports on the development of stable tumor-specific gold nanoparticles (AuNPs) activated by neutron irradiation as

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CycloSiFA: The Next Generation of Silicon-Based Fluoride Acceptors for Positron Emission Tomography (PET)

18.10.2023

Mawick M, Jaworski C, Bittermann J, Iovkova L, Pu Y, Wängler C, Wängler B, Jurkschat K, Krause N, Schirrmacher R (2023) CycloSiFA: The Next Generation of Silicon-Based Fluoride Acceptors for Positron Emission Tomography (PET). Angewandte Chemie International Edition, 62(50), e202309002. DOI: 10.1002/anie.202309002. Graphical Abstract Cyclic azasilole derivatives undergo ring-opening with 18F– anions under mild conditions

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Good practices for the automated production of 18F-SiFA radiopharmaceuticals

11.10.2023

Blok S, Wängler C, Bartenstein P, Schirrmacher R, Lindner S (2023) Good practices for the automated production of 18F-SiFA radiopharmaceuticals. EJNMMI Radiopharmacy and Chemistry, 8(1), 25. DOI: 10.1186/s41181-023-00215-1. Abstract Background The positron emitting isotope fluorine-18 (18F) possesses almost ideal physicochemical properties for the development of radiotracers for diagnostic molecular imaging employing positron emission tomography (PET).

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User-centric explainability in healthcare: A knowledge-level perspective of informed machine learning

15.08.2023

L. Oberste and A. Heinzl, „User-Centric Explainability in Healthcare: A Knowledge-Level Perspective of Informed Machine Learning,“ in IEEE Transactions on Artificial Intelligence, vol. 4, no. 4, pp. 840-857, Aug. 2023, doi: 10.1109/TAI.2022.3227225 Impact Statement: The majority of investigations of the explainability challenge are being conducted from a developer-oriented focus, typically summarizing end-users based on their

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Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST

11.08.2023

Tönnes, C.; Zöllner, F.G. Feature-Oriented CBCT Self-Calibration Parameter Estimator for Arbitrary Trajectories: FORCAST-EST. Appl. Sci. 2023, 13, 9179. https://doi.org/10.3390/app13169179 Published: 11 August 2023 Abstract Background: For the reconstruction of Cone-Beam CT volumes, the exact position of each projection is needed; however, in some situations, this information is missing. Purpose: The development of a self-calibration algorithm

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Next generation PET/CT imaging in meningioma – first clinical experiences using the novel SSTR-targeting peptide [18F]SiTATE

26.06.2023

Unterrainer M, Kunte SC, Unterrainer LM, Holzgreve A, Delker A, Lindner S, Beyer L, Brendel M, Kunz WG, Winkelmann M, Cyran CC, Ricke J, Jurkschat K, Wängler C, Wängler B, Schirrmacher R, Belka C, Niyazi M, Tonn JC, Bartenstein P, Albert NL (2023) Next generation PET/CT imaging in meningioma – first clinical experiences using the

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Deep learning-based affine medical image registration for multimodal minimal-invasive image-guided interventions – A comparative study on generalizability

22.06.2023

Strittmatter, A.; Schad, Lothar R.; Zöllner F.G. Deep learning-based affine medical image registration for multimodal minimal-invasive image-guided interventions – A comparative study on generalizability. Zeitschrift für Medizinische Physik, 2023, ISSN 0939-3889, https://doi.org/10.1016/j.zemedi.2023.05.003. Abstract Multimodal image registration is applied in medical image analysis as it allows the integration of complementary data from multiple imaging modalities. In

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Designing user-centric explanations for medical imaging with informed machine learning

19.05.2023

Oberste, L., Rüffer, F., Aydingül, O., Rink, J. und Heinzl, A. (2023). Designing user-centric explanations for medical imaging with informed machine learning. In , Design Science Research for a New Society: Society 5.0 : 18th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2023, Pretoria, South Africa, May 31 – June

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When AI joins the team: A literature review on intragroup processes and their effect on team performance in team-AI collaboration

11.05.2023

Zercher, D., Jussupow, E. und Heinzl, A. (2023). When AI joins the team: A literature review on intragroup processes and their effect on team performance in team-AI collaboration. In , European Conference on Information Systems, ECIS 2023 : proceedings (S. 1–18). Conference of the European Colloid and Interface Society (ECIS) : Research Papers, AISeL: Atlanta,

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Spatial Omics Imaging of Fresh-Frozen Tissue and Routine FFPE Histopathology of a Single Cancer Needle Core Biopsy: A Freezing Device and Multimodal Workflow

10.05.2023

Rittel, M.F.; Schmidt, S.; Weis, C.-A.; Birgin, E.; van Marwick, B.; Rädle, M.; Diehl, S.J.; Rahbari, N.N.; Marx, A.; Hopf, C. Spatial Omics Imaging of Fresh-Frozen Tissue and Routine FFPE Histopathology of a Single Cancer Needle Core Biopsy: A Freezing Device and Multimodal Workflow. Cancers 2023, 15, 2676. https://doi.org/10.3390/cancers15102676 Published: 10 May 2023 Simple Summary

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