Institute for Applied Medical Informatics

Publications

  1. 2024
  2. An LLM-Based Visualization and Analysis Aid for a Secondary Use Clinical Data Platform

    Spiegel, S., Wendt, T., Gundler, C., Ückert, F. & Riemann, L. T., 22.08.2024, In: Stud Health Technol Inform. 316, p. 1617-1621 5 p.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  3. A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy

    Hurkmans, C., Bibault, J-E., Brock, K. K., van Elmpt, W., Feng, M., David Fuller, C., Jereczek-Fossa, B. A., Korreman, S., Landry, G., Madesta, F., Mayo, C., McWilliam, A., Moura, F., Muren, L. P., El Naqa, I., Seuntjens, J., Valentini, V. & Velec, M., 08.2024, In: RADIOTHER ONCOL. 197, p. 110345

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  4. Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data

    Bellmann, L., Wiederhold, A. J., Trübe, L., Twerenbold, R., Ückert, F. & Gottfried, K., 24.07.2024, In: JMIR MED INF. 12, p. e49865

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  5. Learning debiased graph representations from the OMOP common data model for synthetic data generation

    Schulz, N., Carus, J., Wiederhold, A. J., Johanns, O., Peters, F., Rath, N., Rausch, K., Holleczek, B., Katalinic, A., Gundler, C. & AI-CARE Working Group, 22.06.2024, In: BMC MED RES METHODOL. 24, 1, p. 136 136.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  6. Benchmarking machine learning-based real-time respiratory signal predictors in 4D SBRT

    Wimmert, L., Nielsen, M., Madesta, F., Gauer, T., Hofmann, C. & Werner, R., 05.2024, In: MED PHYS. 51, 5, p. 3173-3183 11 p.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  7. Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images

    Madesta, F., Sentker, T., Gauer, T. & Werner, R., 05.2024, In: MED PHYS. 51, 5, p. 3437-3454 18 p.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  8. Improving Eye-Tracking Data Quality: A Framework for Reproducible Evaluation of Detection Algorithms

    Gundler, C., Temmen, M., Gulberti, A., Pötter-Nerger, M. & Ückert, F., 24.04.2024, In: SENSORS-BASEL. 24, 9, p. 2688

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  9. Spatial normalization for voxel-based lesion symptom mapping: impact of registration approaches

    Jühling, D., Rajashekar, D., Cheng, B., Hilgetag, C. C., Forkert, N. D. & Werner, R., 17.01.2024, In: FRONT NEUROSCI-SWITZ. 18, p. 1296357

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  10. DARTS: an open-source Python pipeline for Ca2+ microdomain analysis in live cell imaging data

    Woelk, L-M., Kovacevic, D., Husseini, H., Förster, F., Gerlach, F., Möckl, F., Altfeld, M., Guse, A. H., Diercks, B-P. & Werner, R., 11.01.2024, In: FRONT IMMUNOL. 14, p. 1299435

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  11. Deep Image Prior for Spatio-temporal Fluorescence Microscopy Images: DECO-DIP

    Meyer, L., Woelk, L-M., Gee, C., Lohr, C., Arcot Kannabiran, S., Diercks, B-P. & Werner, R., 2024, Bildverarbeitung für die Medizin 2024: Proceedings, German Conference on Medical Image Computing, Erlangen, March 10–12, 2024. Maier, A., Deserno, TM., Handels, H., Maier-Hein, K., Palm, C. & Tolxdorff, TM. (eds.). 1 ed. Springer Vieweg, p. 322-327 6 p. (Informatik Aktuell).

    Research output: SCORING: Contribution to book/anthologySCORING: Contribution to collected editions/anthologiesResearchpeer-review

  12. Time-resolved role of P2X4 and P2X7 during CD8+ T cell activation

    Brock, V. J., Lory, N. C., Möckl, F., Birus, M., Stähler, T., Woelk, L-M., Jaeckstein, M., Heeren, J., Koch-Nolte, F., Rissiek, B., Mittrücker, H-W., Guse, A. H., Werner, R. & Diercks, B-P., 2024, In: FRONT IMMUNOL. 15, p. 1258119

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  13. 2023
  14. Dose reduction in sequence scanning 4D CT imaging through respiratory signal-guided tube current modulation: A feasibility study

    Schwarz, A., Werner, R., Wimmert, L., Vornehm, M., Gauer, T. & Hofmann, C., 12.2023, In: MED PHYS. 50, 12, p. 7539-7547 9 p.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  15. An Open-Source Software Tool to Facilitate Data Protection Impact Assessments

    Riemann, L. T., Hähner, F., Schmitz, A-K., Ataian, M., Jaster, M. & Ückert, F., 12.10.2023, In: APPL SCI-BASEL. 13, 20, 11230.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  16. Introduction of MONOCLE – a software to reduce the workload and optimize the processes of the molecular tumor board at the University Hospital Hamburg-Eppendorf

    Schmitz, A-K., Lauk, K., Heß, K. A., Voß, H. P., Fulla, O., Schönbeck, N., Ückert, F., Gundler, C. & Riemann, L. T., 15.09.2023, In: GMS German Medical Science — an Interdisciplinary Journal .

    Research output: SCORING: Contribution to journalConference abstract in journalResearchpeer-review

  17. A Unified Data Architecture for Assessing Motor Symptoms in Parkinson's Disease

    Gundler, C., Zhu, Q. R., Trübe, L., Dadkhah, A., Gutowski, T., Rosch, M., Langebrake, C., Nürnberg, S., Baehr, M. & Ückert, F., 12.09.2023, In: Stud Health Technol Inform. 307, p. 22-30 9 p.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  18. Evaluating REDCap as the Central Data Collection Tool for the Hamburg City Health Study

    Schönbeck, N., Hussein, Y., Haack, A., Schmager, A., Harney, U., Trübe, L., Ückert, F. & Gottfried, K., 12.09.2023, In: Stud Health Technol Inform. 307, p. 51-59 9 p.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  19. Understanding Human-Computer Interactions in Restricted Clinical Environments

    Kraus, K., Trübe, L. (ed.) & Gundler, C., 12.09.2023, In: Stud Health Technol Inform. 307, p. 126-134 9 p.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  20. Development of an immediate release excipient composition for 3D printing via direct powder extrusion in a hospital

    Rosch, M., Gutowski, T., Baehr, M., Eggert, J., Gottfried, K., Gundler, C., Nürnberg, S., Langebrake, C. & Dadkhah, A., 25.08.2023, In: INT J PHARMACEUT. 643, 123218.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  21. Mapping the Oncological Basis Dataset to the Standardized Vocabularies of a Common Data Model: A Feasibility Study

    Carus, J., Trübe, L., Szczepanski, P., Nürnberg, S., Hees, H., Bartels, S., Nennecke, A., Ückert, F. & Gundler, C., 11.08.2023, In: CANCERS. 15, 16, 4059.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  22. Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class

    Nielsen, M., Wenderoth, L., Sentker, T. & Werner, R., 28.07.2023, In: BIOENGINEERING-BASEL. 10, 8, 14 p., 895.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  23. Semi-Automated Mapping of German Study Data Concepts to an English Common Data Model

    Chechulina, A., Carus, J., Breitfeld, P., Gundler, C., Hees, H., Twerenbold, R., Blankenberg, S., Ückert, F. & Nürnberg, S., 13.07.2023, In: APPL SCI-BASEL. 13, 14, p. 8159

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  24. 7T amygdala and hippocampus subfields in volumetry-based associations with memory: A 3-year follow-up study of early Alzheimer’s disease

    Göschel, L., Kurz, L., Dell'Orco, A., Köbe, T., Körtvelyessy, P., Fillmer, A., Aydin, S., Riemann, L. T., Wang, H., Ittermann, B., Grittner, U. & Flöel, A., 28.05.2023, In: NEUROIMAGE-CLIN. 38, p. 103439 103439.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  25. Pragmatic screening for heart failure in the general population using an electrocardiogram-based neural network

    Surendra, K., Nürnberg, S., Bremer, J. P., Knorr, M. S., Ückert, F., Wenzel, J. P., Bei der Kellen, R., Westermann, D., Schnabel, R. B., Twerenbold, R., Magnussen, C., Kirchhof, P., Blankenberg, S., Neumann, J. & Schrage, B., 04.2023, In: ESC HEART FAIL. 10, 2, p. 975-984 10 p.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  26. Patient-individual 3D-printing of drugs within a machine-learning-assisted closed-loop medication management – Design and first results of a feasibility study

    Langebrake, C., Gottfried, K., Dadkhah, A., Eggert, J., Gutowski, T., Rosch, M., Schönbeck, N., Gundler, C., Nürnberg, S., Ückert, F. & Baehr, M., 2023, In: Clinical eHealth. 6, p. 3-9 7 p.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  27. 2022
  28. Mapping Cancer Registry Data to the Episode Domain of the Observational Medical Outcomes Partnership Model (OMOP)

    Carus, J., Nürnberg, S., Ückert, F., Schlüter, C. & Bartels, S., 15.04.2022, In: APPL SCI-BASEL. 12, 8, 4010.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  29. Use of Process Modelling for Optimization of Molecular Tumor Boards

    Lauk, K., Peters, M-C., Velthaus, J-L., Nürnberg, S. & Ueckert, F., 29.03.2022, In: APPL SCI-BASEL. 12, 7, 3485.

    Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

  30. 2021
  31. A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research

    Vlachavas, E. I., Bohn, J., Ückert, F. & Nürnberg, S., 10.03.2021, In: INT J MOL SCI. 22, 6, 2822.

    Research output: SCORING: Contribution to journalSCORING: Review articleResearch