Search Results for author:
Found 5 papers, 1 papers with code
Diffeomorphic Spatial Transformer Networks
In this paper we propose a spatial transformer network where the spatial transformations are limited to the group of diffeomorphisms.
Deep Group-wise Variational Diffeomorphic Image Registration
Deep neural networks are increasingly used for pair-wise image registration.
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
To exploit the potential information captured in EHRs, in this study we propose a multimodal recurrent neural network model for cardiovascular risk prediction that integrates both medical texts and structured clinical information.
Liver segmentation and metastases detection in MR images using convolutional neural networks
Primary tumors have a high likelihood of developing metastases in the liver and early detection of these metastases is crucial for patient outcome.
Motion correction of dynamic contrast enhanced MRI of the liver
Compared to a pairwise method or no registration, groupwise registration provided better alignment.
