Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …

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 …

Artificial intelligence (AI) now enables automated interpretation of medical images. However,
AI's potential use for interventional image analysis remains largely untapped. This is …

Image-based 2D/3D registration is a critical technique for fluoroscopic guided surgical
interventions. Conventional intensity-based 2D/3D registration approa-ches suffer from a …

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 …

The current work introduces a system for fully automatic tracking of native glenohumeral
kinematics in stereo-radiography sequences. The proposed method first applies …

To mitigate the challenges of operating through narrow incisions under image guidance,
there is a desire to develop intelligent systems that assist decision making and spatial …

Objective. One of the essential technologies in various image-guided spine surgeries is the
rigid registration of 3D pre-operative CT and 2D intra-operative X-ray images. The 3D/2D …

2D-3D registration of native anatomy in dynamic stereo-radiography is a fundamental task in
orthopaedics methods that facilitates understanding of joint-level movement. Registration is …

Artificial intelligence (AI) now enables automated interpretation of medical images for clinical
use. However, AI's potential use for interventional images (versus those involved in triage or …