7 citations · 15 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
Neuralizer: General Neuroimage Analysis without Re-Training
Steffen Czolbe, Adrian V. Dalca
Neuroimage processing tasks like segmentation, reconstruction, and registration are central to the study of neuroscience. Robust deep learning strategies and architectures used to…
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels
Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes +6
Despite the superior performance of Deep Learning (DL) on numerous segmentation tasks, the DL-based approaches are notoriously overconfident about their prediction with highly pola…