Recent trends, technical concepts and components of computer-assisted orthopedic surgery systems: a comprehensive review
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 …
important and challenging types of system in clinical orthopedics, as they enable precise …
Incorporating prior knowledge in medical image segmentation: a survey
MS Nosrati, G Hamarneh - arXiv preprint arXiv:1607.01092, 2016 - arxiv.org
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 …
important step toward automating medical image analysis and is at the crux of a variety of …
Automatic image alignment using principal component analysis
HZU Rehman, S Lee - IEEE Access, 2018 - ieeexplore.ieee.org
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 …
analysis (PCA) that broadly consists of two steps. The first step is the segmentation of the …
Sparse MRI reconstruction using multi-contrast image guided graph representation
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 …
in magnetic resonance imaging. Under-sampling the k-space data and reconstructing the …
Examining visible articulatory features in clear and plain speech
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 …
speech styles and motion of visible articulators. Using state-of-the-art computer-vision and …
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks
Renal segmentation on contrast-enhanced computed tomography (CT) provides distinct
spatial context and morphology. Current studies for renal segmentations are highly …
spatial context and morphology. Current studies for renal segmentations are highly …
Deepois: Gyroscope-guided deep optical image stabilizer compensation
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 …
stabilizer (OIS) terminates this possibility by adjusting the images during the capturing. In …
Medical image alignment based on landmark-and approximate contour-matching
M Mojica, M Pop, M Ebrahimi - Journal of Medical Imaging, 2021 - spiedigitallibrary.org
Purpose: Our goal is to propose a landmark-and contour-matching (LCM) registration
method that uses both landmark information and approximate point correspondences to …
method that uses both landmark information and approximate point correspondences to …
Accelerated gradient-based free form deformable registration for online adaptive radiotherapy
G Yu, Y Liang, G Yang, H Shu, B Li… - Physics in medicine & …, 2015 - iopscience.iop.org
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 …
CT (CBCT) is a crucial step in adaptive radiation therapy. The current intensity-based …
Image factory: A method for synthesizing novel CT images with anatomical guidance
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 …
large labeled, annotated, or segmented training datasets. With the insufficient data available …