Ian K. W. Chan

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A multichannel statistical classifier for detecting prostate cancer was developed and validated by combining information from three different magnetic resonance (MR) methodologies: T2-weighted, T2-mapping, and line scan diffusion imaging (LSDI). From these MR sequences, four different sets of image intensities were obtained: T2-weighted (T2W) from(More)
RATIONALE AND OBJECTIVES To prospectively evaluate the perceived image quality of model-based iterative reconstruction (MBIR) compared to adaptive statistical iterative reconstruction (ASIR) and filtered back-projection (FBP) in computed tomography (CT) of the kidneys and retroperitoneum. MATERIALS AND METHODS With investigational review board and Health(More)
a r t i c l e i n f o Advances in network infrastructure and computing technology have made 3D virtual environment increasingly popular and less costly. Many education institutions have shown interests in its application in teaching and learning activities. In this project, we evaluated how the 3D virtual environment can facilitate students in achieving(More)
assessment of atypical birefringence images using scanning laser polarime-try with variable corneal compensation. New algorithms for multi-class cancer diagnosis using tumor gene expression signatures. The protein data bank: a computer-based archival file for macromolecular structures. Substructure-based support vector machine classifiers for prediction of(More)
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