On active contour models and balloons
CVGIP: Image Understanding
Finding Curvilinear Structures in Mammograms
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Adaptive Segmentation of MRI Data
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Segmentation of Brain Tissue from MR Images
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
A New Framework for Fusing Stereo Images with Volumetric Medical Images
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Computer Vision Interaction for Virtual Reality
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Parallel image understanding on a multi-DSP system
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
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Traditional Image Understanding techniques have been developed to address problems such as photo-interpretation, industrial automation, and autonomous vehicle navigation. Although the underlying bases (such as sensory data, shape representations, and end use) for medical imaging problems are very different, IU techniques recently have been retailored to address applications in medicine. To demonstrate the range of roles that IU methods play in medical image utilization, we describe an end-to-end system for image guided surgery, which directly builds on a wide range of IU methods, to provide a surgeon with visualization and guidance during surgical procedures.