Marcus Larsson

Associate professor

Linköping University

Sweden

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Marcus Larsson is an Associate Professor at Linköpings universitet in Sweden. His research focuses on microcirculatory function, utilizing advanced imaging techniques and machine learning to study factors such as hemoglobin oxygen saturation and vascular health. Recent publications highlight his work on the assessment of skin microcirculatory changes during various interventions and the impacts of cardiovascular risk factors on oxygen saturation levels.

Articles (9)

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2022

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2022

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2022

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (4)

Martin Hultman

Assistant Professor

Linköping University

SWEDEN

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Hanna Jonasson

Associate professor

Linköping University

SWEDEN

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Fredrik Iredahl

Linköping University

SWEDEN

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Tomas Strömberg

Professor

Linköping University

SWEDEN

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Marcus Larsson

Research Interests

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Articles (9)

Comprehensive imaging of microcirculatory changes in the foot during endovascular intervention – A technical feasibility study

Multispectral snapshot imaging of skin microcirculatory hemoglobin oxygen saturation using artificial neural networks trained on in vivo data

Post-ischemic skin peak oxygen saturation is associated with cardiovascular risk factors: a Swedish cohort study

Spectral characterization of liquid hemoglobin phantoms with varying oxygenation states

Vasomotion analysis of speed resolved perfusion, oxygen saturation, red blood cell tissue fraction, and vessel diameter: Novel microvascular perspectives

Estimation of skin microcirculatory hemoglobin oxygen saturation and red blood cell tissue fraction using a multispectral snapshot imaging system: A validation study

Machine learning for direct oxygen saturation and hemoglobin concentration assessment using diffuse reflectance spectroscopy

Normative data and the influence of age and sex on microcirculatory function in a middle-aged cohort: Results from the SCAPIS study

Real-time video-rate perfusion imaging using multi-exposure laser speckle contrast imaging and machine learning

Collaborators (4)

Martin Hultman

Hanna Jonasson

Fredrik Iredahl

Tomas Strömberg

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