60 citations · 63 across the 4 of their papers we have counts for
4 papers
Robust semi-supervised segmentation with timestep ensembling diffusion models
Margherita Rosnati, Melanie Roschewitz, Ben Glocker
Medical image segmentation is a challenging task, made more difficult by many datasets' limited size and annotations. Denoising diffusion probabilistic models (DDPM) have recently…
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation
Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro +2
Image segmentation is important in medical imaging, providing valuable, quantitative information for clinical decision-making in diagnosis, therapy, and intervention. The state-of-…
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury
Margherita Rosnati, Eyal Soreq, Miguel Monteiro +8
The accurate prognosis for traumatic brain injury (TBI) patients is difficult yet essential to inform therapy, patient management, and long-term after-care. Patient characteristics…
MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis
Margherita Rosnati, Vincent Fortuin
With a mortality rate of 5.4 million lives worldwide every year and a healthcare cost of more than 16 billion dollars in the USA alone, sepsis is one of the leading causes of hospi…