San-Kan Lee

According to our database1, San-Kan Lee authored at least 14 papers between 2000 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
An Iterative Mixed Pixel Classification for Brain Tissues and White Matter Hyperintensity in Magnetic Resonance Imaging.
IEEE Access, 2019

2014
Detection and Classification of MS Lesions in Multispectral MR Images.
Proceedings of the Intelligent Systems and Applications, 2014

Weighted Radial Basis Function Kernel-Based Support Vector Machines for Multispectral Magnetic Resonance Brain Image Classification.
Proceedings of the Intelligent Systems and Applications, 2014

2013
Intra-pixel multispectral processing of magnetic resonance brain images for tissue characterisation.
Int. J. Comput. Sci. Eng., 2013

2009
An Automatic Computer-Aided Detection System for Meniscal Tears on Magnetic Resonance Images.
IEEE Trans. Medical Imaging, 2009

Brain Tissue Classification Using Independent Vector Analysis (IVA) for Magnetic Resonance Image.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

2008
Band Expansion-Based Over-Complete Independent Component Analysis for Multispectral Processing of Magnetic Resonance Images.
IEEE Trans. Biomed. Eng., 2008

Independent Component Analysis for Magnetic Resonance Image Analysis.
EURASIP J. Adv. Signal Process., 2008

2007
Broadband Multimedia Sensor Networks in Healthcare Applications.
J. High Speed Networks, 2007

2006
Reconstruction and rendering of microcalcifications from two mammogram views by modified projective grid space (MPGS).
Comput. Medical Imaging Graph., 2006

Fractal Based JPEG2000 ROI Coding.
Proceedings of the IEEE International Conference on Systems, 2006

2003
Classification of clustered microcalcifications using a Shape Cognitron neural network.
Neural Networks, 2003

2000
A mammography tele-consultation pilot system in Taiwan.
J. High Speed Networks, 2000

A computer-aided design mammography screening system for detection and classification of microcalcifications.
Int. J. Medical Informatics, 2000


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