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» Liver metastasis early detection using fMRI based statistica...
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CVPR
2007
IEEE
14 years 7 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
WOSS
2004
ACM
13 years 11 months ago
Combining statistical monitoring and predictable recovery for self-management
Complex distributed Internet services form the basis not only of e-commerce but increasingly of mission-critical networkbased applications. What is new is that the workload and in...
Armando Fox, Emre Kiciman, David A. Patterson
ECCV
2004
Springer
14 years 7 months ago
An Accuracy Certified Augmented Reality System for Therapy Guidance
Our purpose is to provide an augmented reality system for Radio-Frequency guidance that could superimpose a 3D model of the liver, its vessels and tumors (reconstructed from CT ima...
Stéphane Nicolau, Xavier Pennec, Luc Soler,...
MICCAI
2010
Springer
13 years 3 months ago
Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging
Recent advances in diffusion weighted MR imaging (dMRI) has made it a tool of choice for investigating white matter abnormalities of the brain and central nervous system. In this w...
Yogesh Rathi, James G. Malcolm, Oleg V. Michailovi...
SAC
2006
ACM
13 years 5 months ago
Combining supervised and unsupervised monitoring for fault detection in distributed computing systems
Fast and accurate fault detection is becoming an essential component of management software for mission critical systems. A good fault detector makes possible to initiate repair a...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...