Herng-Hua Chang, Ph.D.

Affiliations: 
University of California, Los Angeles, Los Angeles, CA 
Google:
"Herng-Hua Chang"
Mean distance: 18.11 (cluster 29)
 

Parents

Sign in to add mentor
Arthur Toga grad student 2006 UCLA
 (Medical image segmentation using an electrostatic charged fluid model.)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Chang HH, Tsai CY. (2014) Adaptive registration of magnetic resonance images based on a viscous fluid model. Computer Methods and Programs in Biomedicine. 117: 80-91
Liu HT, Sheu TW, Chang HH. (2013) Automatic segmentation of brain MR images using an adaptive balloon snake model with fuzzy classification. Medical & Biological Engineering & Computing. 51: 1091-104
Chang HH, Valentino DJ, Chu WC. (2010) Active shape modeling with electric flows. Ieee Transactions On Visualization and Computer Graphics. 16: 854-69
Chang HH, Duckwiler GR, Valentino DJ, et al. (2009) Computer-assisted extraction of intracranial aneurysms on 3D rotational angiograms for computational fluid dynamics modeling. Medical Physics. 36: 5612-5621
Chang HH, Duckwiler GR, Valentine DJ, et al. (2009) Computer-assisted extraction of intracranial aneurysms on 3D rotational angiograms for computational fluid dynamics modeling. Medical Physics. 36: 5612-21
Chang HH, Zhuang AH, Valentino DJ, et al. (2009) Performance measure characterization for evaluating neuroimage segmentation algorithms. Neuroimage. 47: 122-35
Chang HH. (2008) Computer simulations of isolated conductors in electrostatic equilibrium. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 78: 056704
Chang HH, Valentino DJ. (2008) An electrostatic deformable model for medical image segmentation. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 32: 22-35
Chang HH, Valentino DJ, Duckwiler GR, et al. (2007) Segmentation of brain MR images using a charged fluid model. Ieee Transactions On Bio-Medical Engineering. 54: 1798-813
See more...