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» Background estimation from non-time sequence images
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ISBI
2008
IEEE
16 years 2 months ago
Multiframe sure-let denoising of timelapse fluorescence microscopy images
Due to the random nature of photon emission and the various internal noise sources of the detectors, real timelapse fluorescence microscopy images are usually modeled as the sum o...
Saskia Delpretti, Florian Luisier, Sathish Ramani,...
CVBIA
2005
Springer
15 years 7 months ago
Simultaneous Segmentation and Motion Recovery in 3D Cardiac Image Analysis
Accurate and robust estimation of the three-dimensional left ventricular geometry and deformation has important clinical implications for better diagnosis and understanding of isch...
Ling Zhuang, Huafeng Liu, Wei Chen, Hujun Bao, Pen...
IPMI
2005
Springer
16 years 2 months ago
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
Alan S. Willsky, Godtfred Holmvang, Müjdat &C...
BMCBI
2006
102views more  BMCBI 2006»
15 years 2 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky
AVSS
2006
IEEE
15 years 8 months ago
3D Human Motion Analysis in Monocular Video Techniques and Challenges
Extracting meaningful 3D human motion information from video sequences is of interest for applications like intelligent humancomputer interfaces, biometrics, video browsing and ind...
Cristian Sminchisescu