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I got my Ph.D. from the Laboratory for Engineering Man/Machine Systems (LEMS), Division of Engineering, Brown University at Sep., 2008. I am a computer scientist at the Visualization and Computer Vision (VCV) group at the GE Global Research Center since Nov. 2008. My research at LEMS supervised by Prof. Benjamin B. Kimia is primarily on computer vision, shapes/geometry, and medical imaging. Specifically, my works focus on 2D/3D medial representation (the ''shocks'' and the "Medial Scaffold") and their applications, e.g., shape (mesh) recontruction, geodesic computations, 3D medial axis regularization, symmetry-based shape matching, etc. E-mail: mcchang (at) lems.brown.edu. View my Resume and CV (updated in May. 2008). Visit my Personal Page , Web-Link Page, Blog, or Photo Blog. |
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| 2009 Sep. | My papers are accepted to SPIE Medical Imaging 2010 (see below). |
| 2009 Aug. | My journal paper Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold to be published in CVIU is one of the top 25 downloaded computer science articles in ScienceDirect for the period covering April-June 2009. |
| 2009 Aug. | I am a member of Sigma Xi, The Scientific Research Society. |
| 2008 Nov. | I am a computer scientist with the Visualization and Computer Vision (VCV) group of the Imaging Technologies (ImT) Organization at the GE Global Research Center, Nisuayuna, NY, USA. |
| 2008 Sep. | I get my Ph.D. from the Laboratory for Engineering Man/Machine Systems (LEMS), Division of Engineering, Brown University. |
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Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold Ming-Ching Chang, Frederic F. Leymarie, and Benjamin B. Kimia, “Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold”, appear online, Computer Vision and Image Understanding (CVIU), Vol. 113, Issue 11, pp. 1130-1146, Elsevier, Nov. 2009. (Top 17 downloaded computer science articles in ScienceDirect during April-June 2009) Paper (final draft, final proof), BibTex. |
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Fast Search Algorithms for Industrial Inspection Ming-Ching Chang, Chiou-Shann Fuh, and Hsien-Yei Chen, “Fast Search Algorithms for Industrial Inspection,” International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 15, No. 4, pp. 675-690, 2001. Paper (PDF), BibTex. |
![]() | Subvoxel Segmentation and Representation of Brain Cortex using Fuzzy Clustering and Gradient Vector Diffusion Ming-Ching Chang and Xiaodong Tao, “Subvoxel Segmentation and Representation of Brain Cortex using Fuzzy Clustering and Gradient Vector Diffusion ”, to appear in SPIE Medical Imaging (Image Processing, Proceedings of SPIE Volume 7623), San Diego, CA, USA, Feb. 2010. Paper (PDF), Draft Paper (PDF), Poster (PPT), BibTex. |
![]() | A Skull Stripping Method Using Deformable Surface and Tissue Classification Xiaodong Tao and Ming-Ching Chang, “A Skull Stripping Method Using Deformable Surface and Tissue Classification”, to appear in SPIE Medical Imaging (Image Processing, Proceedings of SPIE Volume 7623), San Diego, CA, USA, Feb. 2010. Paper (PDF), Draft Paper (PDF), Poster (PPT), BibTex. |
![]() | Reliable Fusion of Knee Bone Laser Scans to Establish Ground Truth for Cartilage Thickness Measurement Ming-Ching Chang, Nhon H. Trinh, and Benjamin B. Kimia, “Reliable Fusion of Knee Bone Laser Scans to Establish Ground Truth for Cartilage Thickness Measurement”, to appear in SPIE Medical Imaging (Image Processing, Proceedings of SPIE Volume 7623), San Diego, CA, USA, Feb. 2010. Paper (PDF), Draft Paper (PDF), Poster (PPT), BibTex. |
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Measuring 3D Shape Similarity by Matching the Medial Scaffolds Ming-Ching Chang and Benjamin B. Kimia, “Measuring 3D Shape Similarity by Matching the Medial Scaffolds”, accepted to the 3-D Digital Imaging and Modeling (3DIM) Workshop in conjunction with the IEEE International Conference on Computer Vision (ICCV), Paper (PDF), Poster (PPT), BibTex. |
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Regularizing 3D Medial Axis Using Medial Scaffold Transforms Ming-Ching Chang and Benjamin B. Kimia, “Regularizing 3D Medial Axis Using Medial Scaffold Transforms”, accepted to IEEE Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, June 2008. (Acceptance rate 32%) Paper (PDF), Poster (PPT), BibTex. |
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Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold Ming-Ching Chang, Frederic F. Leymarie, and Benjamin B. Kimia, “Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold”, the first oral presentation after the key note in IEEE 3-D Digital Imaging and Modeling (3DIM), Paper (PDF), Presentation (PPT, also download Videos and put into the same directory), Poster (PPT), BibTex, Code. |
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3D Shape Registration using Regularized Medial Scaffolds Ming-Ching Chang, Frederic F. Leymarie, and Benjamin B. Kimia, “3D Shape Registration using Regularized Medial Scaffolds”, oral presentation in IEEE 3D Data Processing, Visualization and Transmission (3DPVT), Thessaloniki, Greece, pp. 987-994, September 2004. Paper (PDF), Presentation (PPT), BibTex, Code. |
| Fast Search Algorithms for IC Printed Mark Quality Inspection Ming-Ching Chang, H.-Y, Chen, and C.-S. Fuh, “Fast Search Algorithms for IC Printed Mark Quality Inspection”, Proceedings of IAPR Workshop on Machine Vision Applications (MVA), Chiba, Japan, pp. 183-188, 1998. | |
| IC Printed Mark Quality Inspection Algorithms Ming-Ching Chang, H.-Y, Chen, and C.-S. Fuh, “IC Printed Mark Quality Inspection Algorithms”, IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), Taichung, Taiwan, pp. 540-547, 1997. |
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Ph.D. Thesis: The Medial Scaffold for 3D Shape Modeling and Recognition Ming-Ching Chang, “The Medial Scaffold for 3D Shape Modeling and Recognition”, Ph.D. Dissertation, Division of Engineering, Brown University, Providence, RI, 02912 USA, Sep., 2008. BibTex. Full thesis in 12 pt. font, single space, 194 pages (PDF, 31MB), or download in parts (Title, Ch.1, Ch.2, Ch.3, Ch.4, Ch.5, Ch.6, Ch.7, Ch.8, Ch.9, Ch.10, Ch.11, Refs). Full thesis in 11 pt. font, double space, 279 pages (PDF, 31MB) submitted to Brown Graduate School, available online at ProQuest. |
| Master Thesis: Fast Search Algorithms for IC Printed Mark Quality Inspection |