Cordes, J., Enzlein, T., Hopf, C., & Wolf, I. (2024). pyM2aia: Python interface for mass spectrometry imaging with focus on deep learning. Bioinformatics, 40(3), btae133. https://doi.org/10.1093/bioinformatics/btae133 Abstract Summary Python is the most commonly used language for deep learning (DL). Existing Python packages for mass spectrometry imaging (MSI) data are not optimized for DL tasks. We, therefore, introduce
... weiter lesenGower-Fry L, Wängler C, Bartenstein P, Beyer L, Lindner S, Jurkschat K, Wängler B, Bailey JJ, Schirrmacher R. (2024) Silicon-FluorideAcceptors (SiFA) for 18F-Radiolabeling: From Bench to Bedside. Methods Mol Biol., 2729, 29-43. https://doi.org/10.1007/978-1-0716-3499-8_3 Abstract Fluorine-18 (18F) is undoubtedly one of the most frequently applied radionuclides for the development of new radiotracers for positron emission tomography
... weiter lesenChen Y, Froelich MF, Tharmaseelan H, Jiang H, Wang Y, Li H, Tao M, Gao Y, Wang J, Liu J, Schoenberg SO, Feng S, Weis M. Computed tomography imaging phenotypes of hepatoblastoma identified from radiomics signatures are associated with the efficacy of neoadjuvant chemotherapy. Pediatr Radiol. 2024;54(1):58-67. (0) PMID: 37982901 PMCID: PMC10776468 DOI: 10.1007/s00247-023-05793-5 Abstract
... weiter lesenHagen F, Soschynski M, Weis M, Hagar MT, Krumm P, Ayx I, Taron J, Krauss T, Hein M, Ruile P, von Zur Muehlen C, Schlett CL, Neubauer J, Tsiflikas I, Russe MF, Arnold P, Faby S, Froelich MF, Weiß J, Stein T, Overhoff D, Bongers M, Nikolaou K, Schönberg SO, Bamberg F, Horger M. Photon-counting
... weiter lesenDavarci 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
... weiter lesenMawick 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
... weiter lesenBlok 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).
... weiter lesenL. 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
... weiter lesenTönnes, 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
... weiter lesenSchülein, 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
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