Publications

2025

• Explainable and interpretable AI visualises self-learned clinically relevant ECG characteristics of rhythm and morphology paving the way for trustworthy diagnostic supportHammer, A., Haensch, F., Seliger, L., Malberg, H., Linke, A. & Schmidt, M., 5 Nov 2025, In: European Heart Journal. 46, Suppl 1, ehaf784.4412Electronic (full-text) versionResearch output: Contribution to journal > Meeting abstract
• Anforderungen an ­ KI- Algorithmen für die klinische ­ PSG- Auswertung: Eine Analyse am Beispiel der Apnoe- ErkennungEhrlich, F., Sedlmayr, M. & Goldammer, M., 18 Sep 2025, p. S6Electronic (full-text) versionResearch output: Contribution to conferences > Abstract
• Brace Effects on Spatiotemporal Gait Parameters from Pedobarography in Adolescent Idiopathic ScoliosisTschirschky, A., Żurawski, A., Dohndorf, J., Malberg, H. & Schmidt, M., 1 Sep 2025, In: Current Directions in Biomedical Engineering. 11, 1, p. 441-444, 4 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Continuous monitoring of carbon dioxide removal of native and membrane lung in a porcine model of lung injuryDoecke, A., Kromnik, S., Wittenstein, J., Scharffenberg, M., Gama de Abreu, M., Gransow, M., Huhle, R. & 1 others, 1 Sep 2025, In:  Biomedical engineering : joint journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering. 70, s1, p. 257-257, 1 p., 391Electronic (full-text) versionResearch output: Contribution to journal > Meeting abstract
• DeepPerfusion: A comprehensible two-branched deep learning architecture for high-precision blood volume pulse extraction based on imaging photoplethysmographyScherpf, M., Ernst, H., Malberg, H. & Schmidt, M., Sep 2025, In: Computers in biology and medicine. 196, Part A, 110571Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Fusion of automatically learned rhythm and morphology features matches diagnostic criteria and enhances AI explainabilityHammer, A., Goettling, M., Malberg, H., Linke, A., Richter, S., Mangner, N. & Schmidt, M., 28 Aug 2025, In: npj Artificial Intelligence. 1, 19Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Non-invasive maturity assessment of iPSC-CMs based on optical maturity characteristics using interpretable AIScheurer, F., Hammer, A., Schubert, M., Steiner, R., Gamm, O., Guan, K., Sonntag, F. & 2 others, 22 Aug 2025, In: Computational and Structural Biotechnology Journal. 27, p. 3719-3728, 10 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Patient-Centered Risk Prediction, Prevention, and Intervention Platform (TIMELY) to Support the Continuum of Care in Coronary Artery Disease Using eHealth and Artificial Intelligence: Protocol for a Randomized Controlled TrialHabibovic, M., Douma, E., Schäfer, H., Sestayo-Fernandez, M., Roovers, T., Sun, X., Schmidt, H. & 14 others, 14 Aug 2025, In: JMIR research protocols. 14, e66283Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Scoliosis Assessment Depending on Curve Magnitude Based on Torsobarography and Machine Learning*Stecher, N., Heinke, A., Żurawski, A. Ł. & Malberg, H., 18 Jul 2025, 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), Vol. 2025. p. 1-5, 5 p., 11251672Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Bewertung von KI-Algorithmen für die klinische PSG-Auswertung am Beispiel der Apnoe-Erkennung: Anforderungen an die Daten und Entwicklung von ModellenEhrlich, F., Sedlmayr, M. & Goldammer, M., Jun 2025, In: Somnologie. 29, 2, p. 73-79, 7 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article