Staib, Lawrence H - Yale University - Biomedical Engineering

研究领域

Automated medical image analysis including model-based image segmentation, nonrigid registration methods, characterization of deformation, machine learning, structural connectivity image analysis, and functional magnetic resonance image analysis with applications in neuroscience, cardiology and cancer.

近期论文

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M. Jackowski, C. Y. Kao, R. T. Constable, M. Qiu and L. H. Staib, White matter tractography by Anisotropic Wavefront Evolution and Diffusion Tensor Imaging, Medical Image Analysis, 9:427-440, 2005. H. Ho, F. Wang, X. Papademetris, H. Blumberg, L. H. Staib, Fasciculography: Robust Prior-Free Real-Time Normalized Volumetric Neural Tract Parcellation, IEEE Trans. Med. Imaging, 31(2):217-230, 2012. J. A. Onofrey, L. H. Staib and X. Papademetris, Low-Dimensional Non-rigid Image Registration Using Statistical Deformation Models and Semi-Supervised Learning, IEEE Trans. Med. Imaging, 34(7):1522-1532, 2015. Y. Jiang, E. Edmiston, F. Wang, H. P. Blumberg, X. Papademetris and L. H. Staib, Improve the Reliability of Shape Comparison by Perturbation, IEEE Int. Symp. Biomedical Imaging (ISBI), pages 686-689, 2009. R. Bansal, L. H. Staib, D. Xu, A. F. Laine, J. Liu, B. S. Peterson, Using Perturbation Theory to Reduce Noise in Diffusion Tensor Fields, Medical Image Analysis, 2009. H. P. Ho, X. Papademetris, F. Wang, H. Blumberg, L. H. Staib, Volumetric Shape Model for Oriented Tubular Structure from DTI data, Medical Image Computing and Computer Aided Intervention (MICCAI) 2009. Neighbor-Constrained Segmentation with 3D Deformable Models, J. Yang, Lawrence H Staib, James S Duncan, 2003, IPMI (Info. Processing in Med. Imaging), 198-209. Automated Measurement of Latent Morphological Features in the Human Corpus Callosum, B.S. Peterson, P.A. Feineigle, Lawrence H Staib, J.C. Gore , 2001, Human Brain Mapping, 12(4), 232-245. Physical Model-Based Non-rigid Registration Incorporating Statistical Shape Information , Y. Wang, Lawrence H Staib, 2000, Medical Image Analysis, 4, 7-20. Boundary Finding with Prior Shape and Smoothness Models, Y. Wang , Lawrence H Staib, 2000, IEEE Trans. on Pattern Recognition and Machine Intelligence, 22(7), 738-743.