State-of-the-art deep learning-based registration methods employ three
d...
Point cloud-based medical registration promises increased computational
...
3D human pose estimation is a key component of clinical monitoring syste...
Recent deep learning-based methods for medical image registration achiev...
The majority of current research in deep learning based image registrati...
Domain Adaptation (DA) has recently raised strong interests in the medic...
To date few studies have comprehensively compared medical image registra...
Current approaches for deformable medical image registration often strug...
As in other areas of medical image analysis, e.g. semantic segmentation,...
A major goal of lung cancer screening is to identify individuals with
pa...
Multimodal image registration is a very challenging problem for deep lea...
Though, deep learning based medical image registration is currently star...
Current deep learning methods are based on the repeated, expensive
appli...
Deformable registration continues to be one of the key challenges in med...
Nonlinear image registration continues to be a fundamentally important t...
We present a new approach to diffeomorphic non-rigid registration of med...
Knowledge of whole heart anatomy is a prerequisite for many clinical
app...
Graph convolutional networks are a new promising learning approach to de...
We present a novel algorithm for the registration of pulmonary CT scans....
Deep convolutional neural networks (DCNN) are currently ubiquitous in me...