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MICCAI
2007
Springer
14 years 9 months ago
Towards an Identification of Tumor Growth Parameters from Time Series of Images
In cancer treatment, understanding the aggressiveness of the tumor is essential in therapy planning and patient follow-up. In this article, we present a novel method for quantifyin...
Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondia...
MICCAI
2008
Springer
14 years 9 months ago
Segmenting Brain Tumors Using Pseudo-Conditional Random Fields
Locating Brain tumor segmentation within MR (magnetic resonance) images is integral to the treatment of brain cancer. This segmentation task requires classifying each voxel as eith...
Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matt...
MICCAI
2000
Springer
14 years 5 days ago
Fusing Speed and Phase Information for Vascular Segmentation in Phase Contrast MR Angiograms
This paper presents a statistical approach to aggregating speed and phase (directional) information for vascular segmentation in phase contrast magnetic resonance angiograms (PC-MR...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
VIP
2000
13 years 10 months ago
Functional Segmentation of Dynamic Emission Tomographic images
Emission tomography such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT) can provide in vivo measurements of dynamic physiological and...
Koon-Pong Wong, David Dagan Feng, Steven R. Meikle...
MICCAI
2001
Springer
14 years 1 months ago
Deformable Organisms for Automatic Medical Image Analysis
We introduce a new paradigm for automatic medical image analysis that adopts concepts from the field of Artificial Life. Our approach prescribes deformable organisms, autonomous ag...
Ghassan Hamarneh, Tim McInerney, Demetri Terzopoul...