There is a wide range of devices and scientific simulation generating volumetric data. Visualizing such data, ranging from regular data sets to scattered data, is a challenging task. This course will give an introduction to the volume rendering transport theory and the involved issues such as interpolation, illumination, classification and others. Different volume rendering techniques will be p...

Volume transformations of medical images play an important role for many applications such as registration of diierent modalities, mapping atlases onto clinical data, or simulation of surgical procedures. While registration and atlas mapping can for the major number of applications be performed without tight time constraints, it is essential for simulation systems that they allow real-time inte...

This extended abstract outlines a project to build computer programs that understand. Understanding a domain is defined as the ability to rapidly produce computer programs to deal with new problems as they arise. This is achieved by building a CAD tool that collaborates with human designers who guide the system to construct code having certain properties. The code re...

Volume transformations of medical images play an important role for many applications such as registration of di erent modalities mapping atlases onto clinical data or simulation of surgical procedures While registration and atlas mapping can for the major number of applications be performed without tight time constraints it is essential for simulation systems that they allow real time interact...

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volume estimation of most agricultural products using mathematical methods is not accurate because of their irregular shape. an alternative method is image processing, which can be used in continuous sorting machines. the objective of this study is to find a practical method for volume estimation of potatoes using image processing. fifty potatoes (marfona variety) were selected as experimental ...

In this work, we present a novel 3D-Convolutional Neural Network (CNN) architecture called I2I-3D that predicts boundary location in volumetric data. Our fine-to-fine, deeply supervised framework addresses three critical issues to 3D boundary detection: (1) e cient, holistic, end-to-end volumetric label training and prediction (2) precise voxel-level prediction to capture fine scale structures ...

normal 0 false false false en-us x-none ar-sa background: cardiovascular diseases, cardiovascular risk factors, and mortality due to these situations are more frequently encountered in schizophrenic patients when compared with the general population. the mean platelet volume (mpv) is a surrogate biomarker of the platelet activity and an useful prognostic test in cardiometabolic diseases. the ai...

objectives the main objective of this study was to design and construct an optical device to determine the rbv in patients undergoing hemodialysis, during the process. materials and methods after initial studies in order to select a proper sensor, using the orcad software, an analog circuit was designed. the implementation and modification of the circuit was done by the clinical tests, using ex...