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Burns : Journal of the International Society for Burn Injuries|August 12, 2017
Accuracy of laser speckle contrast imaging in the assessment of pediatric scald woundsRobin Mirdell, Simon Farnebo, Folke Sjöberg, et al.
Burns : Journal of the International Society for Burn Injuries|June 25, 2019
Interobserver reliability of laser speckle contrast imaging in the assessment of burnsRobin Mirdell, Simon Farnebo, Folke Sjöberg, et al.
Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)|November 29, 2019
Skin blood flow response to topically applied methyl nicotinate: Possible mechanismsSherif Elawa, Robin Mirdell, Simon Farnebo, et al.
Burns : Journal of the International Society for Burn Injuries|April 18, 2020
Using blood flow pulsatility to improve the accuracy of laser speckle contrast imaging in the assessment of burnsRobin Mirdell, Simon Farnebo, Folke Sjöberg, et al.
Burns : Journal of the International Society for Burn Injuries|May 5, 2021
Improving burn depth assessment for pediatric scalds by AI based on semantic segmentation of polarized light photography imagesMarco Domenico Cirillo, Robin Mirdell, Folke Sjöberg, et al.
Plos One|March 31, 2017
Methodological concerns with laser speckle contrast imaging in clinical evaluation of microcirculationJohan Zötterman, Robin Mirdell, Sandra Horsten, et al.
Burns : Journal of the International Society for Burn Injuries|January 27, 2016
Microvascular blood flow in scalds in children and its relation to duration of wound healing: A study using laser speckle contrast imagingRobin Mirdell, Fredrik Iredahl, Folke Sjöberg, et al.
Data in Brief|November 21, 2018
Data on microcirculatory perfusion dips in the resting nail bedRobin Mirdell, Aukje Nienke Lemstra-Idsardi, Simon Farnebo, et al.
Journal of Burn Care & Research : Official Publication of the American Burn Association|June 13, 2019
Time-Independent Prediction of Burn Depth Using Deep Convolutional Neural NetworksMarco Domenico Cirillo, Robin Mirdell, Folke Sjöberg, et al.
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