Homepage von Miriam Goldammer

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Ms Miriam Goldammer

AG Maschinelles Lernen

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Fetscherforum (F29), 1, OG, Raum 33 Fetscherstr. 29

01307 Dresden

RG Machine Learning

Publications

Hyperspectral Imaging during Normothermic Machine Perfusion-A Functional Classification of Ex Vivo Kidneys Based on Convolutional Neural NetworksSommer, F., Sun, B., Fischer, J., Goldammer, M., Thiele, C., Malberg, H. & Markgraf, W., 7 Feb 2022, In: Biomedicines. 10, 2, 20 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
Investigation of automated sleep staging from cardiorespiratory signals regarding clinical applicability and robustnessGoldammer, M., Zaunseder, S., Brandt, M. D., Malberg, H. & Gräßer, F. M., Jan 2022, In: Biomedical signal processing and control. 71Electronic (full-text) versionResearch output: Contribution to journal > Research article

Was ist künstliche Intelligenz?Goldammer, M., 25 Nov 2021Research output: Contribution to conferences > Presentation slides
Vergleich von vier Modellarchitekturen zur automatisierten Schlafstadienstadienklassifikation bezüglich Klassifikationsgüte und ÜbertragbarkeitEhrlich, F., Goldammer, M., Sehr, T., Brandt, M. D. & Malberg, H., 29 Oct 2021Research output: Contribution to conferences > Presentation slides
Zuverlässigkeit einer automatisierten kardiorespiratorischen SchlafstadienklassifikationGoldammer, M., Zaunseder, S., Brandt, M., Malberg, H. & Gräßer, F. M., 29 Oct 2021Research output: Contribution to conferences > Poster
Machine Learning for Sleep Stage ClassificationGoldammer, M., Ehrlich, F. & Malberg, H., 7 Oct 2021Research output: Contribution to conferences > Presentation slides

Schlafstadienklassifikation ohne EEG: Analyse kardiorespiratorischer Merkmale mit CNNs – Eine Einführung ins maschinelle LernenGoldammer, M., Zaunseder, S., Malberg, H. & Gräßer, F. M., 31 Oct 2020Research output: Contribution to conferences > Presentation slides
Specializing CNN Models for Sleep Staging Based on Heart RateGoldammer, M., Zaunseder, S., Malberg, H. & Gräßer, F., 16 Sep 2020, 2020 Computing in Cardiology. Wiley-IEEE Press, p. 1-4 4 p., 9344270Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

Sepsis Onset Prediction Applying a Stacked Combination of a Recurrent Neural Network and a Gradient Boosted MachineScherpf, M., Goldammer, M., Malberg, H. & Gräßer, F. M., 30 Dec 2019, 2019 Computing in Cardiology Conference (CinC)Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Schlafphasenklassifikation anhand kardiorespiratorischer SignaleGoldammer, M., Kalbreyer, A., Malberg, H., Zaunseder, S. & Gräßer, F. M., 9 Nov 2019Research output: Contribution to conferences > Poster