Computer-assisted orthopedic surgery (CAOS) systems have become one of the most
important and challenging types of system in clinical orthopedics, as they enable precise …

Medical image segmentation, the task of partitioning an image into meaningful parts, is an
important step toward automating medical image analysis and is at the crux of a variety of …

We present an automatic technique for image alignment using a principal component
analysis (PCA) that broadly consists of two steps. The first step is the segmentation of the …

Accelerating the imaging speed without sacrificing image structures plays an important role
in magnetic resonance imaging. Under-sampling the k-space data and reconstructing the …

This study investigated the relationship between clearly produced and plain citation form
speech styles and motion of visible articulators. Using state-of-the-art computer-vision and …

Renal segmentation on contrast-enhanced computed tomography (CT) provides distinct
spatial context and morphology. Current studies for renal segmentations are highly …

Mobile captured images can be aligned using their gyroscope sensors. Optical image
stabilizer (OIS) terminates this possibility by adjusting the images during the capturing. In …

Purpose: Our goal is to propose a landmark-and contour-matching (LCM) registration
method that uses both landmark information and approximate point correspondences to …

The registration of planning fan-beam computed tomography (FBCT) and daily cone-beam
CT (CBCT) is a crucial step in adaptive radiation therapy. The current intensity-based …

Background Deep learning in medical applications is limited due to the low availability of
large labeled, annotated, or segmented training datasets. With the insufficient data available …