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My Resume

 

ADDRESS

 

2 Kimball Court, Apt. 507

Woburn, MA 01801, USA

Tel: (781) 932-1319

Mobile Phone: (410)967-7255

E-mail: xhan@nmr.mgh.harvard.edu

Homepage: http://iacl.ece.jhu.edu/~xhan/

 

 

RESEARCH EXPERTIES

 

Medical image processing and analysis, Computer vision, Deformable models, Level set method, Computational topology, Human brain mapping

 

EDUCATION

 

PhD. 2003      Electrical and Computer Eng.       Johns Hopkins University         

                          

M.Sc. 2001     Electrical and Computer Eng.        Johns Hopkins University

                                                           

M.Eng. 1998   Electrical Engineering            National University of Singapore

 

B.S. 1994        Electrical Engineering            University of Science and Technology of China, P.R. China

                                                   

 

PROFESSIONAL EXPERIENCES

 

Senior R&D Engineer, Center for Biomedical Imaging, Massachusetts General Hospital, September 2004— present

Software development for brain structural and functional analysis

 

Postdoctoral Fellow, The Johns Hopkins University, November 2003— August 2004

Developed advanced algorithms for medical image processing and human brain mapping

 

Research Assistant, The Johns Hopkins University, February 1999 — October 2003

Performed research in image segmentation, brain cortex reconstruction, and topology correction

 

Research Engineer, National University of Singapore, July 1997 — June 1998

Designed and programmed a graphical user-interface and a software package for automatic landmark identification and analysis of digitized cephalograms

 

Research Assistant, National University of Singapore, July 1995 — June 1997

Designed a computer vision system for automatic IC bonding wire inspection

 

PROFESSIONAL ACTIVITIES

 

Reviewer

 

IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Image Processing

IEEE Transactions on Medical Imaging

Image and Vision Computing Journal

Journal of Medical Image Analysis

The Visual Computer Journal

International Journal of Pattern Recognition and Artificial Intelligence

 

Societies and Affiliations

 

1997 – present, Institute of Electrical and Electronic Engineers (IEEE)

1999 – present, IEEE Computer Society

 

Invited Talks

 

1.    Cortical surface reconstruction using a topology preserving geometric deformable model, CISST/ERC Seminar, Johns Hopkins University, 13 February 2002.

2.    Geometric deformable models for brain cortical surface reconstruction, Imaging & Visualization Department, Siemens Corporate Research, 13 April, 2004

 

   

TECHNICAL SKILLS

 

Computer Languages: C, C++, MATLAB, PERL, Tcl/Tk, SQL, UNIX Shell Scripts, CGI, HTML

Operating Systems: UNIX, Linux, Windows, MS-DOS

 

JOURNAL PUBLICATIONS (see my PUBLICATIONS page for a more complete list.)

 

1.       X. Han, C. Xu, U. Braga-Neto, and J. L. Prince, “Topology Correction in Brain Cortex Segmentation Using a Multiscale, Graph-Based Algorithm,” IEEE Trans. Medical Imaging, vol. 21, no. 2, pp. 109-121, Feb. 2002.

2.       M. E. Rettmann, X. Han, and J. L. Prince, “ Automated Sulcal Segmentation Using Watersheds on the Cortical Surface,” NeuroImage, vol. 15, no. 2, pp. 329-344, Feb. 2002

3.       X. Han, C. Xu, and J. L. Prince, “A Topology Preserving Level Set Method for Geometric Deformable Models,” IEEE Trans. Patt Anal. Mach. Intell., vol. 25, no. 6, pp. 755-768, June 2003.

4.       D. Tosun, M. E. Rettmann, X. Han, X. Tao, C. Xu, S. M. Resnick, D. Pham, and J. L. Prince, “Cortical surface segmentation and mapping”, NeuroImage, Sept.2004 (to appear)

5.       X. Han, D. L. Pham, C. Xu, M. Rettmann, D. Tosun, J. L. Prince, “CRUISE: Cortical Reconstruction Using Implicit Surface Evolution”, accepted to NeuroImage, 2004.

6.       J. Ratnanather, L. Wang, M. Nebel, M. Hosakere, X. Han, P. Barta, C. Priebe, J. G. Csernansky, M. I. Miller, “Generation and Analysis of the Cingulate Gyrus Cortical Surface in Healthy and Schizophrenia Subjects”, accepted to Psychiatry Research: NeuroImaging, 2004

BOOKCHAPTER

1.       X. Han, C. Xu, and J. L. Prince, “Topology-Preserving Geometric Deformable Models and Brain Reconstruction", in Geometric Level Set Methods in Imaging, Vision, and Graphics, S. Osher and N. Paragios Eds., Springer-Verlag, July 2003.

 

CONFERENCE PUBLICATIONS

1.       X. Han, M. E. Rettmann, C. Xu, and J. L. Prince, “Morphology on Triangle Meshes Using Geodesic Distance”, Proc. 34th Annual Conf. on Info. Sci. Sys., Princeton University, March 15–17, 2000.

2.       M. E. Rettmann, X. Han, and J. L. Prince, “Watersheds on the Cortical Surface for Automated Sulcal Segmentation,” Proc.  IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, Hilton Head Island, SC, Jun 11-12, p.20-27, June 2000.

3.       X. Han, M. E. Rettmann, C. Xu, and J. L. Prince, “Automatic Segmentation Editing for Cortical Surface Reconstruction,” Proc. SPIE Medical Imaging, Conf. 4322, Paper 22, San Diego, February 2001.

4.       X. Han, C. Xu, and U. Braga-Neto, and J. L. Prince, “Graph-Based Topology Correction for Brain Cortex Segmentation,” Proc. 17th Int’l Conference Information Processing in Medical Imaging, Davis CA, pp.395-401, June 2001.

5.       X. Tao, X. Han, M.E. Rettmann, J. L. Prince, and C. A. Davatzikos, “Statistical Study on Cortical Sulci of Human Brains”, Proc. 17th Int’l Conference Information Processing in Medical Imaging, Davis CA, pp.475-487, June 2001.

6.       X. Han, C. Xu, D. Tosun, and J. L. Prince, “Cortical Surface Reconstruction Using a Topology Preserving Geometric Deformable Model,” Proc. IEEE Workshop on Mathmatical Methods in Biomedical Image Analysis, Kauai Hawaii, pp.213-220, 9-10 December 2001.

7.       X. Han, C. Xu, and J. L. Prince, “A Topology Preserving Deformable Model Using Level Sets,” Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol.2, pp.765-770, Kauai Hawaii, 8-14 December 2001.

8.       D.L. Pham, X. Han, M.E. Rettmann, C. Xu, D. Tosun, S.M. Resnick, J. L. Prince, “New Approaches for Measuring Changes in the Cortical Surface Using an Automatic Reconstruction Algorithm,” Proc. SPIE Medical Imaging 2002, vol. 4684, pp. 191–200, San Diego, CA, Feb. 23-28, 2002.

9.       X. Han, C. Xu, and J. L. Prince, "A 2D Moving Grid Geometric Deformable Model," in Proc. IEEE Conf Comp Vis Patt Recog (CVPR), pp. I:153-160, Madison, WI, June 2003.

10.   Y. Bai,  X. Han, and J. L. Prince, “Super-resolution Reconstruction of MR Brain Images,” Proc. 38th Annual Conf. on Information Science and Systems, Princeton University, March 2004

 

PUBLISHED ABSTRACTS

 

1.       C. Xu, X. Han, J. L. Prince, “Improving Cortical Surface Reconstruction Accuracy Using an Anatomically Consistent Gray Matter Representation,” NeuroImage Human Brain Mapping 2000 Meeting, Poster No. 581, NeuroImage Vol. 11, No. 5, May 2000.

2.       M. E. Rettmann, X. Han, D. L. Pham, J. L. Prince, “Geodesics for Sulcal Segmentation and Depth Measurements,” NeuroImage Human Brain Mapping 2000 Meeting, Poster No. 667, NeuroImage Vol. 11, No. 5, May 2000.

3.       M. E. Rettmann, X. Han, J. L. Prince, “Automated Parcellation of the Cortical Surface for Computation of Regional Gyrification Indices,” Abstract 230, Human Brain Mapping, Brighton UK, 2001.

4.       D. Tosun, M. E. Rettmann, X. Tao, X. Han, C. Xu, and J. L. Prince, “Calculation of Human Cerebral Cortical Thickness on Opposing Sulcal Banks,” Abstract 268, Human Brain Mapping, Brighton UK, 2001.

 
     
 
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  Last updated: Jan. 28, 2002