|
Presentations
Hongbin Guo,Kewei Chen,Rosemary A Renaut and Eric M Reiman.
Reducing the noise effects in Logan graphic analysis for
PET receptor measurements. International Conference on
Complex Medical Engineering (CME)
, April, 2009, Tempe, AZ.
H. Guo, R. Renaut, K. Chen, E. Reiman.
Improving the Quality of Quantitative FDG PET Images
by a Spatial Constraint. Arizona Alzheimer’s
Consortium annual metting. May, 2008.
H. Guo, R. Renaut, K. Chen, E. Reiman. Quality
Improvement of PET Parametric Images. AAC Retreat
meeting, Bisbee, AZ, Feb, 2008.
R. Renaut, H. Guo. Ill-posed Inverse Problems:
Algorithms and Applications Total Least Squares, Fourth
International Conference of Applied Mathematics and
Computing, Bulgaria,1 hour presentation. Aug 2007.
R. Renaut, H. Guo. Analysis and Development of
Algorithms for Regularization, Czech-France-Germany
Optimization Meeting Heidelberg, Germany, September 2007.
R. Renaut, H. Guo. Issues with Generation of
Parametric Images from Positron Emission Tomography.
MTBI Presentation ASU. July 2007.
H. Guo, Introduction to Regularized Total Least
Squares. Seminar of the department of computer science,
, ASU, July, 2007.
H. Guo, R. Renaut,
K. Chen, E. Reiman.
Improving FDG-PET Parametric Imaging by Total
Variation Regularization, Joint Molecular Imaging
Conference, Sept., 2007, Rhode Island.
Hongbin Guo, Rosemary A. Renaut and Kewei Chen, Improved Imaged-derived Input
Function for Study of Human Brain FDG-PET, International Conference on
Prevention of Dementia Washington D.C June, 2005.
Hongbin Guo and Rosemary Renaut,
Iterative Method for
Regularized Total Least Squares, AMS Joint Mathematics Meetings , Atlanta, Georgia,
Jan, 2005 .
Hongbin Guo and Rosemary Renaut,
Algorithms for Regularized Total
Least Squares, Southern California
Matrix Meeting in San Jose, CA, Nov. 2004 .
H Guo, RA Renaut and K Chen, Imaged-derived Input Function for Human Brain
FDG-PET Study,
Arizona State University neoroimaging
seminar, June, 2004,
H Guo, RA Renaut and K Chen, A Fast Hierarchical Linkage Clustering for Kinetic
Positron Emission Tomography Data. SIAM Conference on Imaging Science.
May 3-5, 2004 at Salt Lake City, Utah.
Hongbin Guo and Rosemary Renaut, Parallel Variable Distribution for Total Least
Squares. Eleventh SIAM Conference on Parallel Processing for Scientific
Computing, Feb, 2004, San Francisco, CA.
H Guo, RA Renaut and K Chen, Study on the similarity measurement between Voxels
of FDG PET Data. Arizona Alzheimer's Research Center Annual Meeting,
Feb, 2004, Tuson, AZ.
Hongbin Guo, Rosemary Renaut and Kewei Chen, How Far is One Kinetic Time
Activity Curve from Another: Measure the physiological Similarity between
Voxels over Brain PET Data. AMS Joint Mathematics Meetings, AMS-SIAM
Special Session on Mathematical Modeling in Neuroscience, Biomedicine,
Genetics, and Epidemiology. Jan. 8, 2004, Phoenix .
Hongbin Guo, Rosemary Renaut and Kewei Chen, Clustering for three dimensional
Kinetic PET Data, IEEE International Conference on Data Mining,
Clustering Large Data Sets Workshop. November 19, 2003 , Melbourne,
Florida , ICDM2003.
Hongbin Guo and Rosemary Renaut, Estimation
of U'f(A)V for large-scale unsymmetric matrices.
Computational and
applied math proseminar, Department of math and statistics, Arizona State
University. (October 3), 2002.
H. Guo, K. Chen, R. Renaut, Y. Zhou, E.
Reiman. An efficient voxel-classification method for parametric imaging
generation in Quantitative PET brain studies: An alternative to average linkage
method. (June 18, 2002). Society for Nuclear Medicine 49th Annual
Meeting, Los Angeles CA June 16 - 20, 2002. Session 52 Data analysis
& management: Neurology.
Guo H, Chen K, Renaut R, Zhou Y, Reiman EM. An efficient voxel-classification
method for parametric imaging generation in quantitative pet brain studies: an
alternative to average linkage method, Arizona Alzheimer's Research
Center Annual Meeting(Jan, 12, 2002).
Hongbin Guo and Rosemary A.
Renau, A regularized total least squares algorithm, 3rd International Workshop
on TLS and Errors-in-Variables Modeling . (Aug. 27, 2001). Arenberg
Castle, Leuven, Belgium August 27-29, 2001 Session II : Total Least Squares
Algorithms.
Hongbin Guo, IRR: An Algorithm for
Computing the Smallest Singular Value of Large Scale Matrices. Nanjing
international conference on optimization and numerical algebra.
Nanjing, ( September 27--30, 1999 ).
|
