Author of the publication

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Electrochemical properties of Li1. 1V0. 75W0. 075Mo0. 075O2/graphite composite anodes for lithium-ion batteries, , , , , and . Bulletin of Korean Chemical Society, (2012)A Study on the Effects of LED Light's Pulse Width Modulation on Work Concentration., , , , and . KMO, volume 224 of Lecture Notes in Business Information Processing, page 550-560. Springer, (2015)KAIST image computing system (KICS): a parallel architecture for real-time multimedia platform using multiple MVPs (TMS320C80)., , , , , and . Medical Imaging: Image Processing, volume 3031 of SPIE Proceedings, SPIE, (1997)Implementation of MPEG-2 encoder to multiprocessor system using multiple MVPs (TMS320C80)., , , , , , and . Medical Imaging: Image Processing, volume 3031 of SPIE Proceedings, SPIE, (1997)Deformable model with surface registration for hippocampal shape deformity analysis in schizophrenia., , , , , , , and . NeuroImage, 22 (2): 831-840 (2004)Automatic measurement of extra-axial CSF from infant MRI data., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113171I. SPIE, (2020)High rate capability of Cu-coated activated carbon electrodes for Li-ion capacitors using non-aqueous electrolytes, , and . Materials Chemistry and Physics, 133 (1): 38 - 41 (2012)Enhanced cortical thickness measurements for rodent brains via Lagrangian-based RK4 streamline computation., , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97840B. SPIE, (2016)Cortical surface shape assessment via sulcal/gyral curve-based gyrification index., , and . ISBI, page 221-224. IEEE, (2016)Topological data analysis can extract subgroups with high incidence rates of Type 2 diabetes., , , , , , and . BIBM, page 1758. IEEE Computer Society, (2018)