Lasse Riis Østergaard

TL;DR: This work presents an active surface method, that extracts the inner and outer cortical boundaries using a combination of different vector fields and a local weighting method based on the intrinsic properties of the deforming surface.

TL;DR: A new robust method dedicated to produce consistent and accurate brain extraction based on nonlocal segmentation embedded in a multi-resolution framework, which provides results comparable to a recent label fusion approach, while being 40 times faster and requiring a much smaller library of priors.

TL;DR: DeepQSM can invert the magnetic dipole kernel convolution and delivers robust solutions to this ill-posed problem, enabling identification of deep brain substructures and provide information on their respective magnetic tissue properties.

TL;DR: A framework for automatic classification of regions of interest (ROI) containing either benign or cancerous colon tissue extracted from whole slide H&E stained images using cell nuclei features showed promising results.

TL;DR: The novel semi-automatic segmentation method for quantification of the colon from magnetic resonance imaging (MRI) showed good agreement between observers and may be used in future studies of gastrointestinal disorders to assess colon and fecal volume and colon morphology.