Image-based navigation is widely considered the next frontier of minimally invasive surgery.
It is believed that image-based navigation will increase the access to reproducible, safe, and …

During the last decades, the research community of medical imaging has witnessed
continuous advances in image registration methods, which pushed the limits of the state-of …

In this paper, we present a Convolutional Neural Network (CNN) regression approach to
address the two major limitations of existing intensity-based 2-D/3-D registration technology …

D image registration, which involves aligning two or more images, is a critical step in a
variety of medical applications from diagnosis to therapy. Image registration is commonly …

Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …

In recent years, digital endoscopy has established as key technology for medical screenings
and minimally invasive surgery. Since then, various research communities with manifold …

Catheter tracking has become an integral part of interventional radiology. Over the last
decades, researchers have significantly contributed to theoretical and technical catheter …

Point cloud registration is a popular topic that has been widely used in 3D model
reconstruction, location, and retrieval. In this paper, we propose a new registration method …

In this paper, we present a Convolutional Neural Network (CNN) regression approach for
real-time 2-D/3-D registration. Different from optimization-based methods, which iteratively …

Abstract Deep Learning-based 2D/3D registration enables fast, robust, and accurate X-ray to
CT image fusion when large annotated paired datasets are available for training. However …