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» Using collaborative learning for image contrast enhancement
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MICCAI
2004
Springer
14 years 8 months ago
Predicting Tumour Location by Simulating Large Deformations of the Breast Using a 3D Finite Element Model and Nonlinear Elastici
Two of the major imaging modalities used to detect and monitor breast cancer are (contrast enhanced) magnetic resonance (MR) imaging and mammography. Image fusion, including accura...
Pras Pathmanathan, David Gavaghan, Jonathan Whitel...
ISBI
2004
IEEE
14 years 8 months ago
Nanoparticle-Enhanced Proton Computed Tomography: A Monte Carlo Simulation Study
Proton computed tomography (pCT) has the potential to improve the accuracy of proton treatment planning, which is currently based on x-ray computed tomography (xCT). However, at t...
Reinhard Schulte, Vladimir Bashkirov, David Willia...
MICCAI
2007
Springer
14 years 1 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
TABLETOP
2006
IEEE
14 years 1 months ago
TeamSearch: Comparing Techniques for Co-Present Collaborative Search of Digital Media
Interactive tables can enhance small-group colocated collaborative work in many domains. One application enabled by this new technology is copresent, collaborative search for digi...
Meredith Ringel Morris, Andreas Paepcke, Terry Win...
JMLR
2006
104views more  JMLR 2006»
13 years 7 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling