Braun D, Judmann B, Cheng X, Wängler B, Schirrmacher R, Fricker G, Wängler C* (2023) Synthesis, Radiolabeling, in Vitro and in Vivo Characterization of Heterobivalent Peptidic Agents for bispecific EGFR and Integrin αvβ3 Targeting. ACS Omega, 8(2), 2793−2807. DOI: 10.1021/acsomega.2c07484. Abstract Radiolabeled heterobivalent peptidic ligands (HBPLs) are a highly promising compound class for the sensitive
... read moreDavarci 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
... read moreMawick 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
... read moreBlok 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).
... read moreL. 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
... read moreTönnes, 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
... read moreSchülein, P., Teufel, H., Vorpahl, R. et al. Comparison of synthetic dataset generation methods for medical intervention rooms using medical clothing detection as an example. J Image Video Proc. 2023, 12 (2023). doi: 10.1186/s13640-023-00612-1. Abstract Purpose: The availability of real data from areas with high privacy requirements, suchas the medical intervention space is low and
... read moreUnterrainer 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
... read moreStrittmatter, 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
... read morePatrick Schülein, Anela Hadzic, Marcus Vetter. Language Image Assisted labeling of video data from medical intervention rooms using Grounded Language-Image Pre-training (GLIP). Conference Contribution in CARS 2023—Computer Assisted Radiology and Surgery Proceedings of the 37th International Congress and Exhibition Munich, Germany, June 20–23, 2023. Int J CARS 18 (Suppl 1), 1–123 (2023). doi: 10.1007/s11548-023-02878-2.
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