activity
20172023
most citedAngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

7 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV20237 cited

AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography

Ruisheng Su, Matthijs van der Sluijs, Sandra Cornelissen +6

Cerebral X-ray digital subtraction angiography (DSA) is the standard imaging technique for visualizing blood flow and guiding endovascular treatments. The quality of DSA is often n…

cs.GR2021

Common Artifacts in Volume Rendering

Daniel Ruijters

Direct Volume Rendering is a popular and powerful visualization method for voxel data and other volumetric scalar data sets. Particularly, in medical applications volume rendering…

cs.CV2021

Automatic 2D-3D Registration without Contrast Agent during Neurovascular Interventions

Robert Homan, René van Rijsselt, Daniel Ruijters

Fusing live fluoroscopy images with a 3D rotational reconstruction of the vasculature allows to navigate endovascular devices in minimally invasive neuro-vascular treatment, while…

cs.CV2021

Artificial Intelligence in Minimally Invasive Interventional Treatment

Daniel Ruijters

Minimally invasive image guided treatment procedures often employ advanced image processing algorithms. The recent developments of artificial intelligence algorithms harbor potenti…

cs.CV2017

Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy

Pierre Ambrosini, Daniel Ruijters, Wiro J. Niessen +2

Augmenting X-ray imaging with 3D roadmap to improve guidance is a common strategy. Such approaches benefit from automated analysis of the X-ray images, such as the automatic detect…