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ICIAR
2010
Springer
15 years 11 months ago
Segmentation Based Noise Variance Estimation from Background MRI Data
Accurate and precise estimation of the noise variance is often of key importance as an input parameter for posterior image processing tasks. In MR images, background data is well s...
Jeny Rajan, Dirk Poot, Jaber Juntu, Jan Sijbers
BILDMED
2009
181views Algorithms» more  BILDMED 2009»
15 years 8 months ago
3D Segmentation and Quantification of the Aortic Arch for Endovascular Aortic Repair
Abstract. We introduce a novel model-based approach for the segmentation and quantification of the aortic arch morphology in 3D CTA images for endovascular aortic repair. The appro...
Stefan Wörz, Hendrik von Tengg-Kobligk, Veren...
MICCAI
2010
Springer
15 years 5 months ago
Modeling and Segmentation of Surgical Workflow from Laparoscopic Video
Modeling and analyzing surgeries based on signals that are obtained automatically from the operating room (OR) is a field of recent interest. It can be valuable for analyzing and u...
Tobias Blum, Hubertus Feußner, Nassir Navab
ICCV
2009
IEEE
15 years 5 months ago
Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Man...
CVPR
2009
IEEE
3248views Computer Vision» more  CVPR 2009»
17 years 2 months ago
Single Image Haze Removal Using Dark Channel Prior
In this paper, we propose a simple but effective image prior - dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of the...
Kaiming He (The Chinese University of Hong Kong), ...