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Qingmao Hu

Researcher at Agency for Science, Technology and Research

Publications -  37
Citations -  787

Qingmao Hu is an academic researcher from Agency for Science, Technology and Research. The author has contributed to research in topics: Region of interest & Thresholding. The author has an hindex of 15, co-authored 37 publications receiving 776 citations. Previous affiliations of Qingmao Hu include Institute for Infocomm Research Singapore.

Papers
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Journal ArticleDOI

A rapid algorithm for robust and automatic extraction of the midsagittal plane of the human cerebrum from neuroimages based on local symmetry and outlier removal

TL;DR: A rapid algorithm for robust, accurate, and automatic extraction of the midsagittal plane (MSP) of the human cerebrum from normal and pathological neuroimages is proposed and is fully automatic and thoroughly validated, which make it suitable for clinical applications.
Journal ArticleDOI

Thresholding based on variance and intensity contrast

TL;DR: A new thresholding criterion is formulated for segmenting small objects by exploring the knowledge about intensity contrast and it is shown that small objects can be extracted successfully irrespective of the complexity of background and difference in class sizes.
Proceedings ArticleDOI

A dynamic motion pattern analysis approach to fall detection

TL;DR: A reliable dynamic motion pattern analysis algorithm to detect fall situation is developed on the digital signal output from waist-mounted accelerometry, which is an important part of elder care and rehabilitation.
Journal ArticleDOI

A knowledge-driven algorithm for a rapid and automatic extraction of the human cerebral ventricular system from MR neuroimages.

TL;DR: A knowledge-driven algorithm for a rapid, robust, accurate, and automatic extraction of the human cerebral ventricular system from MR neuroimages is proposed, which was validated qualitatively on 68 and quantitatively on 38 MRI normal and pathological cases.
Patent

Method and apparatus for image segmentation

TL;DR: In this paper, a 3D image may be segmented based on one or more intensity thresholds determined from a subset of the voxels in the 3D images, where the subset may contain voxel in a 2D reference slice.