Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage
2023 · Nature Biomedical Engineering · 32 citations
https://doi.org/10.1038/s41551-023-01151-w
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Nikoletta Katsouli
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Nikoletta Katsouli is an academic researcher from Helmholtz Zentrum München. The author has contributed to research in topics: Photoacoustic and Ultrasonic Imaging & Optical Imaging and Spectroscopy Techniques & Cerebrovascular and Carotid Artery Diseases. The author has an h-index of 5, co-authored 8 publications.
ORCID: 0000-0003-4839-3029Papers by this author
worksNon-invasive multispectral optoacoustic tomography resolves intrahepatic lipids in patients with hepatic steatosis
2023 · Photoacoustics · 20 citations
https://doi.org/10.1016/j.pacs.2023.100454
Multiscale optoacoustic assessment of skin microvascular reactivity in carotid artery disease
2024 · Photoacoustics · 7 citations
https://doi.org/10.1016/j.pacs.2024.100660
Enhanced maximum intensity projection (eMIP) for improving the fidelity of optoacoustic images
2025 · npj Imaging · 0 citations
https://doi.org/10.1038/s44303-025-00112-z
Mapping glucose-induced hemodynamics in white fat depots with label-free optoacoustics
2025 · Photoacoustics · 0 citations
https://doi.org/10.1016/j.pacs.2025.100793
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