5 citations · 5 across the 4 of their papers we have counts for
4 papers
Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders
Agostina J. Larrazabal, Cesar Martinez, Enzo Ferrante
Deep convolutional neural networks (CNN) proved to be highly accurate to perform anatomical segmentation of medical images. However, some of the most popular CNN architectures for…
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets
Nicolas Roulet, Diego Fernandez Slezak, Enzo Ferrante
Brain lesion and anatomy segmentation in magnetic resonance images are fundamental tasks in neuroimaging research and clinical practice. Given enough training data, convolutional n…
Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields
Roque Porchetto, Franco Stramana, Nikos Paragios +1
Rigid slice-to-volume registration is a challenging task, which finds application in medical imaging problems like image fusion for image guided surgeries and motion correction for…
Prior-based Coregistration and Cosegmentation
Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas +4
We propose a modular and scalable framework for dense coregistration and cosegmentation with two key characteristics: first, we substitute ground truth data with the semantic map o…