Publications by authors named "S Cornelissen"
Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).
View Article and Find Full Text PDFBackground: The extended Thrombolysis in Cerebral Infarction (eTICI) score is used in digital subtraction angiography (DSA) to quantify reperfusion grade in patients with an ischemic stroke who undergo endovascular thrombectomy (EVT). A previously developed automatic TICI score (autoTICI), which quantifies the ratio of reperfused pixels after EVT, demonstrates good correlation with eTICI.
Objective: To evaluate the autoTICI model in a large multicenter registry of patients with an ischemic stroke, investigate the association with visual eTICI, and compare prediction of functional outcome between autoTICI and eTICI.
Purpose: For patients with vestibular schwannomas (VS), a conservative observational approach is increasingly used. Therefore, the need for accurate and reliable volumetric tumor monitoring is important. Currently, a volumetric cutoff of 20% increase in tumor volume is widely used to define tumor growth in VS.
View Article and Find Full Text PDFCerebral X-ray digital subtraction angiography (DSA) is a widely used imaging technique in patients with neurovascular disease, allowing for vessel and flow visualization with high spatio-temporal resolution. Automatic artery-vein segmentation in DSA plays a fundamental role in vascular analysis with quantitative biomarker extraction, facilitating a wide range of clinical applications. The widely adopted U-Net applied on static DSA frames often struggles with disentangling vessels from subtraction artifacts.
View Article and Find Full Text PDFArticle Synopsis
- Microbial communities in the human body play a crucial role in regulating the immune system and responses to cancer treatments, with complex communities found within primary tumors.
- A comprehensive study involving 4,160 metastatic tumor biopsies revealed specific microbial patterns in different organs, higher levels of anaerobic bacteria in low-oxygen tumors, and links between microbial diversity and immune cell activity.
- The research also highlighted the role of certain bacteria, like Fusobacterium, in cancer resistance and showed how microbial communities change over time with treatment, creating valuable data for improving cancer treatment approaches.