5 citations · 10 across the 3 of their papers we have counts for
3 papers
DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces
Helena Williams, João Pedrosa, Muhammad Asad +4
Deep learning-based automatic segmentation methods have become state-of-the-art. However, they are often not robust enough for direct clinical application, as domain shifts between…
Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation
Muhammad Asad, Helena Williams, Indrajeet Mandal +4
Existing interactive segmentation methods leverage automatic segmentation and user interactions for label refinement, significantly reducing the annotation workload compared to man…
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces
Helena Williams, João Pedrosa, Laura Cattani +4
Automatic medical image segmentation via convolutional neural networks (CNNs) has shown promising results. However, they may not always be robust enough for clinical use. Sub-optim…