Florian Raab
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View article: Automatic segmentation of liver structures in multi-phase MRI using variants of nnU-Net and Swin UNETR
Automatic segmentation of liver structures in multi-phase MRI using variants of nnU-Net and Swin UNETR Open
Accurate segmentation of the liver parenchyma, portal veins, hepatic veins, and lesions from MRI is important for hepatic disease monitoring and treatment. Multi-phase contrast enhanced imaging is superior in distinguishing hepatic structu…
View article: Steam Storage Rankine Cycle for Unutilized Applications in Distributed High-Temperature Waste Heat Recovery
Steam Storage Rankine Cycle for Unutilized Applications in Distributed High-Temperature Waste Heat Recovery Open
In the light of increasingly valuable resources and a trend towards more efficient processes pushed by climate change, distributed Waste Heat Recovery (WHR) is an important element in the transformation of the energy supply. In recent year…
View article: Investigation of an efficient multi-modal convolutional neural network for multiple sclerosis lesion detection
Investigation of an efficient multi-modal convolutional neural network for multiple sclerosis lesion detection Open
In this study, an automated 2D machine learning approach for fast and precise segmentation of MS lesions from multi-modal magnetic resonance images (mmMRI) is presented. The method is based on an U-Net like convolutional neural network (CN…
View article: Application of A U-Net for Map-like Segmentation and Classification of Discontinuous Fibrosis Distribution in Gd-EOB-DTPA-Enhanced Liver MRI
Application of A U-Net for Map-like Segmentation and Classification of Discontinuous Fibrosis Distribution in Gd-EOB-DTPA-Enhanced Liver MRI Open
We aimed to evaluate whether U-shaped convolutional neuronal networks can be used to segment liver parenchyma and indicate the degree of liver fibrosis/cirrhosis at the voxel level using contrast-enhanced magnetic resonance imaging. This r…
View article: A multimodal 2D Convolutional Neural Network for Multiple Sclerosis Lesion Detection
A multimodal 2D Convolutional Neural Network for Multiple Sclerosis Lesion Detection Open
In this study, an automated machine learning approach for the segmentation of MS lesions from multi- modal magnetic resonance images (mmMRI) is presented. The method is based on a U-Net like convolutional neural network (CNN) for 2D slice-…
View article: A multimodal 2D Convolutional Neural Network for Multiple Sclerosis Lesion Detection
A multimodal 2D Convolutional Neural Network for Multiple Sclerosis Lesion Detection Open
In this study, an automated machine learning approach for the segmentation of MS lesions from multi- modal magnetic resonance images (mmMRI) is presented. The method is based on a U-Net like convolutional neural network (CNN) for 2D slice-…
View article: Compact and high efficient Rankine-evaporator following economical targets
Compact and high efficient Rankine-evaporator following economical targets Open
Within the public funded project “KompACT”, Rankine cycle evaporators for Waste Heat Recovery systems are under development. Target for the evaporator development is the selection of designs being capable for future economical operations u…
View article: Investigation of the heat transfer coefficient during the condensation of small quantities of water vapour from a mixture with a high proportion of non-condensable gas in a horizontal smooth tube
Investigation of the heat transfer coefficient during the condensation of small quantities of water vapour from a mixture with a high proportion of non-condensable gas in a horizontal smooth tube Open
During heat recovery of exhaust gas energy in a shell and tube heat exchanger, the exhaust gas is cooled down and the water vapour content may condense when the corresponding temperature is reached. In this case, a condensation heat exchan…