
-
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration
Image registration with deep neural networks has become an active field ...
read it
-
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling
Quantification of anatomical shape changes still relies on scalar global...
read it
-
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study
Background: The trend towards large-scale studies including population i...
read it
-
A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks
In the clinical routine, short axis (SA) cine cardiac MR (CMR) image sta...
read it
-
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
We propose a novel attention gate (AG) model for medical image analysis ...
read it
-
Recurrent neural networks for aortic image sequence segmentation with sparse annotations
Segmentation of image sequences is an important task in medical image an...
read it
-
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling
Alterations in the geometry and function of the heart define well-establ...
read it
-
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
Deep learning approaches have shown promising performance for compressed...
read it
-
Real-time Prediction of Segmentation Quality
Recent advances in deep learning based image segmentation methods have e...
read it
-
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents
We propose a fully automatic method to find standardized view planes in ...
read it
-
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection
In this work, we apply an attention-gated network to real-time automated...
read it
-
Attention U-Net: Learning Where to Look for the Pancreas
We propose a novel attention gate (AG) model for medical imaging that au...
read it
-
Learning-Based Quality Control for Cardiac MR Images
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depe...
read it
-
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
Deep convolutional neural networks (DCNN) are currently ubiquitous in me...
read it
-
Human-level CMR image analysis with deep fully convolutional networks
Cardiovascular magnetic resonance (CMR) imaging is a standard imaging mo...
read it
-
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
Incorporation of prior knowledge about organ shape and location is key t...
read it
-
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging
3D Magnetic Resonance Imaging (MRI) is often a trade-off between fast bu...
read it
-
Learning under Distributed Weak Supervision
The availability of training data for supervision is a frequently encoun...
read it
-
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
In this paper, we propose DeepCut, a method to obtain pixelwise object s...
read it