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Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters
Contributions We propose a novel framework for joint 3-D vessel segmentation and
centerline extraction. The approach is based on multivariate Hough voting and oblique …
centerline extraction. The approach is based on multivariate Hough voting and oblique …
Adaptations in the microarchitecture and load distribution of maternal cortical and trabecular bone in response to multiple reproductive cycles in rats
Pregnancy, lactation, and weaning result in dramatic changes in maternal calcium
metabolism. In particular, the increased calcium demand during lactation causes a …
metabolism. In particular, the increased calcium demand during lactation causes a …
Brain tumor characterization using multibiometric evaluation of MRI
The aim was to evaluate volume, diffusion, and perfusion metrics for better presurgical
differentiation between high-grade gliomas (HGG), low-grade gliomas (LGG), and …
differentiation between high-grade gliomas (HGG), low-grade gliomas (LGG), and …
Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis
Pancreatic cancer has the poorest prognosis among all cancer types. Intraductal Papillary
Mucinous Neoplasms (IPMNs) are radiographically identifiable precursors to pancreatic …
Mucinous Neoplasms (IPMNs) are radiographically identifiable precursors to pancreatic …
A boosting approach for prostate cancer detection using multi-parametric MRI
Prostate cancer has been reported as the second most frequently diagnosed men cancers in
the world. In the last decades, new imaging techniques based on MRI have been developed …
the world. In the last decades, new imaging techniques based on MRI have been developed …
Fast generation of digitally reconstructed radiograph through an efficient preprocessing of ray attenuation values
Digitally reconstructed radiographs (DRR) are a simulation of radiographic images
produced through a perspective projection of the three-dimensional (3D) image (volume) …
produced through a perspective projection of the three-dimensional (3D) image (volume) …
Fast 2D and 3D image processing with OpenCL
Image processing with GPUs requires the use of an API like OpenCL or CUDA. A higher
level library that hides these APIs is a better option if the programmer does not need to fine …
level library that hides these APIs is a better option if the programmer does not need to fine …
Accurate and reliable extraction of surfaces from image data using a multi-dimensional uncertainty model
Surface extraction is an important step in the image processing pipeline to estimate the size
and shape of an object. Unfortunately, state of the art surface extraction algorithms form a …
and shape of an object. Unfortunately, state of the art surface extraction algorithms form a …
Probabilistic sparse matching for robust 3D/3D fusion in minimally invasive surgery
Classical surgery is being overtaken by minimally invasive and transcatheter procedures. As
there is no direct view or access to the affected anatomy, advanced imaging techniques …
there is no direct view or access to the affected anatomy, advanced imaging techniques …
Comparison of deep learning and classical image processing for skin segmentation
Skin stiffness correlates with the progression of sclerotic skin diseases. Ultrasound shear
wave elasticity imaging techniques can measure skin stiffness, but an accurate skin …
wave elasticity imaging techniques can measure skin stiffness, but an accurate skin …