Minimally invasive fluoroscopy-based procedures are the gold standard for diagnosis and
treatment of various pathologies of the cardiovascular system. This kind of procedures imply …

X-ray is the most readily available imaging modality and has a broad range of applications
that spans from diagnosis to intra-operative guidance in cardiac, orthopedics, and trauma …

Fluoroscopy-guided endovascular interventions by using X-ray images are challenging. The
catheter needs to be manipulated precisely inside the aorta, while only 2-D views from the X …

The recent success of convolutional neural networks in many computer vision tasks implies
that their application could also be beneficial for vision tasks in cardiac electrophysiology …

为提高不同生理状态下两组四维CT 图像之间配准的精度和速度, 基于多分辨率B
样条的自由形变模型(Free Form Deformation, FFD), 提出一种使用迭代最近点(Iterative Closest …

Objective: To discuss the function of mixed reality (MR) technology in guiding location of
intervertebral foramen microscopic puncture and analyze its feasibility and clinical …

Monocular depth estimation is a fascinating and challenging problem in virtual vision.
However, the training of networks based on deep learning largely depends on the training …

This study was aimed to investigate the diagnostic accuracy of magnetic resonance imaging
(MRI) based on deep dictionary learning in TNM (tumor, node, and metastasis) staging of …

In order to improve the accuracy and speed of registration between two groups of 4D-CT
images under different physiological activities, based on FFD model of multi-resolution B …

Current monocular visual odometry methods usually either require a large amount of
expensive ground truth data or require effective training to obtain suboptimal results. This …