8 citations · 8 across the 4 of their papers we have counts for
4 papers
Diffusion-Based Quality Control of Medical Image Segmentations across Organs
Vincenzo Marcianò, Hava Chaptoukaev, Virginia Fernandez +4
Medical image segmentation using deep learning (DL) has enabled the development of automated analysis pipelines for large-scale population studies. However, state-of-the-art DL met…
Controllable Surface Diffusion Generative Model for Neurodevelopmental Trajectories
Zhenshan Xie, Levente Baljer, M. Jorge Cardoso +1
Preterm birth disrupts the typical trajectory of cortical neurodevelopment, increasing the risk of cognitive and behavioral difficulties. However, outcomes vary widely, posing a si…
MAIS: Memory-Attention for Interactive Segmentation
Mauricio Orbes-Arteaga, Oeslle Lucena, Sabastien Ourselin +1
Interactive medical segmentation reduces annotation effort by refining predictions through user feedback. Vision Transformer (ViT)-based models, such as the Segment Anything Model…
A 3D generative model of pathological multi-modal MR images and segmentations
Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges +3
Generative modelling and synthetic data can be a surrogate for real medical imaging datasets, whose scarcity and difficulty to share can be a nuisance when delivering accurate deep…