30 citations · 37 across the 3 of their papers we have counts for
4 papers
Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks
Benjamin Gutierrez Becker, Ignacio Sarasua, Christian Wachinger
We introduce deep neural networks for the analysis of anatomical shapes that learn a low-dimensional shape representation from the given task, instead of relying on hand-engineered…
Recalibrating 3D ConvNets with Project & Excite
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua +1
Fully Convolutional Neural Networks (F-CNNs) achieve state-of-the-art performance for segmentation tasks in computer vision and medical imaging. Recently, computational blocks term…
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data
Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker +1
We introduce a wide and deep neural network for prediction of progression from patients with mild cognitive impairment to Alzheimer's disease. Information from anatomical shape and…
`Project & Excite' Modules for Segmentation of Volumetric Medical Scans
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua +2
Fully Convolutional Neural Networks (F-CNNs) achieve state-of-the-art performance for image segmentation in medical imaging. Recently, squeeze and excitation (SE) modules and varia…