3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
A high-precision navigation system for Anterior Cruciate Ligament(ACL) reconstruction surgery is presented. In this system, 3D CT data is used to visualize the structure of bones a...
In image-guided neurosurgery, "mixed reality" merging has been used to merge video images with an underlying computer model. We have developed methods to map intra-operat...
Damini Dey, Piotr J. Slomka, David G. Gobbi, Terry...
A novel method for automatic segmentation of computed tomography CT head images of patients having spontaneous intracerebral brain hemorrhage has been presented in this work. The...
In this paper, a technique is presented for CT image analysis and visualization of the bronchial airways. The technique provides a non-invasive way to examine the interior of the ...
Sven Loncaric, T. Markovinovic, T. Petrovic, D. Ra...
In this paper, we propose a new recognition method of lung nodules from X-ray CT images using 3D Markov random field(MRF) models. Pathological shadow candidates are detected by a...
In this paper we describe a fast approach for image contrast enhancement, based on localized contrast manipulation. Our approach is not only fast and easy to implement, but also h...