research
∙
08/21/2020
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection
Object detection has witnessed significant progress by relying on large,...
share
research
∙
07/23/2019
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
Cardiac MR image segmentation is essential for the morphological and fun...
research
∙
07/19/2019
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction
In this work, we propose a deep learning approach for parallel magnetic ...
research
∙
07/05/2019
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation
Deep learning models trained on medical images from a source domain (e.g...
research
∙
06/28/2019
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling
Quantification of anatomical shape changes still relies on scalar global...
research
∙
02/28/2019
3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders
Accurate segmentation of heart structures imaged by cardiac MR is key fo...
research
∙
10/08/2018
Deep learning cardiac motion analysis for human survival prediction
Motion analysis is used in computer vision to understand the behaviour o...
research
∙
08/26/2018
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach
Deep learning approaches have achieved state-of-the-art performance in c...
research
∙
07/18/2018