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Xiang Sean Zhou

Explore the profile of Xiang Sean Zhou including associated specialties, affiliations and a list of published articles. Areas
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Articles 25
Citations 304
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Recent Articles
21.
Zhan Y, Dewan M, Zhou X
Med Image Comput Comput Assist Interv . 2010 Apr; 12(Pt 2):1033-41. PMID: 20426213
Segmentation of anatomical objects is always a fundamental task for various clinical applications. Although many automatic segmentation methods have been designed to segment specific anatomical objects in a given imaging...
22.
Zhan Y, Zhou X, Peng Z, Krishnan A
Med Image Comput Comput Assist Interv . 2008 Nov; 11(Pt 1):313-21. PMID: 18979762
With the advance of whole-body medical imaging technologies, computer aided detection/diagnosis (CAD) is being scaled up to deal with multiple organs or anatomical structures simultaneously. Multiple tasks (organ detection/segmentation) in...
23.
Chen T, Yin W, Zhou X, Comaniciu D, Huang T
IEEE Trans Pattern Anal Mach Intell . 2006 Aug; 28(9):1519-24. PMID: 16929737
In this paper, we present the logarithmic total variation (LTV) model for face recognition under varying illumination, including natural lighting conditions, where we rarely know the strength, direction, or number...
24.
Freund J, Comaniciu D, Ioannis Y, Liu P, McClatchey R, Morley-Fletcher E, et al.
Stud Health Technol Inform . 2006 Jul; 120:259-70. PMID: 16823144
There is a compelling demand for the integration and exploitation of heterogeneous biomedical information for improved clinical practice, medical research, and personalised healthcare across the EU. The Health-e-Child project aims...
25.
Zhou X, Comaniciu D, Gupta A
IEEE Trans Pattern Anal Mach Intell . 2005 Jan; 27(1):115-29. PMID: 15628273
Abstract-Existing methods for incorporating subspace model constraints in shape tracking use only partial information from the measurements and model distribution. We propose a unified framework for robust shape tracking, optimally...
26.
Comaniciu D, Zhou X, Krishnan S
IEEE Trans Med Imaging . 2004 Jul; 23(7):849-60. PMID: 15250637
Ultrasound is a main noninvasive modality for the assessment of the heart function. Wall tracking from ultrasound data is, however, inherently difficult due to weak echoes, clutter, poor signal-to-noise ratio,...