Terrence Chen

Head, Vision Technologies and Solutions, Imaging and Computer Vision
Siemens Corporation, Corporate Research and Technology
755 College Rd East
Princeton, NJ 08540

Short Biography

Terrence Chen is the head of Vision Technologies and Solutions research group at Siemens Corporate Research in Princeton. He is a senior member of IEEE. He received a PhD in Computer Science from University of Illinois at Urbana Champaign in 2006. His expertise is in computer vision, medical imaging, pattern recognition, and machine learning and has published over 30 papers in leading journals and conferences. His research group focuses on research and development in computer vision technologies applied to 2D images and videos, as well as 3D vision technologies. The group has obtained multiple awards in medical and technical conferences. Many of the developed technologies lead to Siemens industrial or healthcare products which differentiat Siemens from competitors.

EDUCATION

Ph.D. Computer Science, University of Illinois at Urbana-Champaign, 2006
Advisor: Prof. Thomas S. Huang PhD Thesis Title: Scale-driven image decomposition with applications to registration, segmentation, and recognition
M.S. Computer Science, University of Illinois at Urbana-Champaign, 2002
Advisor: Prof. Thomas S. Huang Master Thesis Title: Fast similarity search in high-dimensional data space
B.S. Computer Science and Information Engineering, National Taiwan University, Taiwan, 1998

WORK EXPERIENCE

(2012.07-present) Head of Research Group, Siemens Corporate Research, Princeton, New Jersey.

Vision Technologies and Solutions

(2011.06-2012.06) Program Manager, Siemens Corporate Research, Princeton, New Jersey.

Video analysis and understanding.
Detection and tracking in computer assisted interventions

(2008.06-2011.05) Project Manager & Research Scientist, Siemens Corporate Research, Princeton, New Jersey.

Detection and tracking in computer assisted interventions

(2006.06-2008.05) Research Scientist, Siemens Corporate Research, Princeton, New Jersey.

Preventive maintenance system/ On-line monitoring
Nodule detection and image enhancement
Detection and segmentation in 3D Ultrasound volumes

(2004-2005) Beckman Institute Graduate Fellow, Universirt of Illinois at Urbana Champaign, Urbana, Illinois.

Neuromorphological study of the aging process: A new statistical framework
Registration and Segmentation of 3D brain MR images

(2004 summer) Summer intern research assistant, Siemens Corporate Research, Princeton, New Jersey.

cDNA microarray image analysis and processing
Variable lighting face recognition

(2001-2006) Research Assistant, University of Illinois at Urbana Champaign, Urbana, Illinois.

Image and video analysis
Multimedia data mining and indexing
User relevance feedback and behavior learning

(2003 summer) Summer Intern Research Assistant, Siemens Corporate Research, Princeton, New Jersey.

Cardiac motion analysis of Ultrasound images.

(2002 summer) Summer Intern Research Assistant, NEC Laboratories America, Inc., Cupertino, California.

Sports video summarization
Tracking and identification of non-rigid object

(2000-2001) Teaching Assistant, University of Illinois at Urbana Champaign, Urbana, Illinois.

Teaching assistant of the course "CS105" in computer science department.

(1995 summer) Part-time programmer, Infomation Tech. Division, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.

Medical data processing
Software maintenance

PUBLICATIONS

Book chapters:
- Y. Wang, B. Georgescu, T. Chen, W. Wu, P. Wang, X. Lu, R. Ionasec, Y. Zheng, D. Comaniciu, "Learning-based Detection and Tracking in Medical Imaging: A Robust Information-Fusion Approach", to appear, Deformation models: tracking, animation, and applications, Springer, 2012.
- P. Wang, A. Meyer, T. Chen, S. Zhou, D. Comaniciu, "Application of wire tracking in image guided interventions", Machine Learning for Vision-based Motion Analysis, Spinger, 2010.
Journal papers:
- T. Chen, W. Yin, X.-S. Zhou, D. Comaniciu, T. S. Huang, "Total Variation Models for Variable Lighting Face Recognition and Uneven Background Correction", IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(9):1519-1524, 2006.
- W. Yin, T. Chen, X.-S. Zhou, A. Chakraborty, "Background correction for cDNA microarray images using the TV+L1 model", Bioinformatics, 21(10): 2410-2416, 2005.
Conference papers:
- Y. Wang, T. Chen, P. Wang, C. Rohkohl, D. Comaniciu, "Automatic localization of balloon markers and guidewire in rotational fluoroscopy with application to 3D stent reconstruction", to appear, ECCV, 2012.
- P. Mountney, R. Ionasec, S. KhakAbi, W. Wu, T. Chen, M. John, J. Boese, D. Comaniciu, "Ultrasound and Fluoroscopic Images Fusion by Autonomous Ultrasound Probe Detection", to appear, MICCAI, 2012.
- T. Chen, Y. Wang, P. Durlak, D. Comaniciu, "Real time assistance for stent positioning and assessment by self-initialized tracking", to appear, MICCAI, 2012.
- A. Brost, M. Koch, W. Wu, T. Chen, F. Bourier, S. Kappler, N. Strobel, "Motion Estimation Model for Cardiac and Respiratory Motion Compensation", IPCAI, 2012
- W. Wu, T. Chen, N. Strobel, and D. Comaniciu. "Fast tracking of catheters in 2D fluoroscopic images using a CPU-GPU framework", ISBI, 2012.
- A. P. Kiraly, J. Barbot, W. Wu, T. Chen, A. Brost, M. Koch, C. Jakob, T. Kurzendorfer, and N. Strobel. "Real-time motion-adjusted augmented Fluoroscopy System for Navigation during electrophysiology Procedures", SPIE Medical Imaging, 2012.
- W. Wu, T. Chen, N. Strobel, and D. Comaniciu. "Robust tracking of a virtual electrode on a coronary sinus catheter for atrial fibrillation ablation procedures", SPIE Medical Imaging Conference, 2012.
- P. Wang, T. Chen, O. Ecabert, D. Comaniciu, "Image-based device tracking for the co-registration of angiography and intravascular Ultrasound images", to appear MICCAI, 2011.
- T. Chen, G. Funka-Lea, D. Comaniciu, "Robust and fast contrast inflow detection for 2d X-ray fluoroscopy", MICCAI, 2011.
- A. Brost, M. Koch, W. Wu, A. Wimmer, T. Chen, R. Liao, J. Hornegger, N. Strobel, "Combined cardiac and respiratory motion compensation for atrial fibrillation ablation procedures", to appear MICCAI, 2011.
- X. Lu, T. Chen, D. Comaniciu, "Robust Discriminative Wire Structure Modeling with Application to Stent Enhancement in Fluoroscopy", CVPR, 2011.
- W. Wu, T. Chen, A. Barbu, P. Wang, N. Storbert, K. Zhou, D. Comaniciu, "Learning-based Hypothesis Fusion for Robust Catheter Tracking in 2D X-ray Fluoroscopy", CVPR, 2011.
- P. Wang, W. Liao, T. Chen, S. Zhou, D. Comaniciu, "Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2010.
- P. Wang, M. Pfister, T. Chen, D. Comaniciu, "Using Needle Detection and Tracking for Motion Compensation in Abdominal Interventions", IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), 2010.
- T.Chen, W. Zhang, S. Good, K. Zhou, D. Comaniciu, "Automatic follicle quantification from 3D ultrasound data using global/local context with database guided segmentation", IEEE International Conference on Computer Vision (ICCV), 2009.
- Y. Zhu, S. Prummer, P. Wang, T. Chen, D. Comaniciu, "Dynamic Layer Separation for Coronary DSA and Enhancement in Fluoroscopic Sequences", MICCAI, 2009.
- P. Wang, T. Chen, Y. Zhu, W. Zhang, K. Zhou, D. Comaniciu, "Robust Guidewire Tracking in Fluoroscopy", IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), 2009.
- Y. Zhu, S. Prummer, T. Chen, M. Ostermeier, and D. Comaniciu, "Coronary DSA: enhancing coronary tree visibility through discriminative learning and robust motion estimation", SPIE Medical Imaging, 2009.
- P. Mazouer, T. Chen, Y. Zhu, P. Wang, P. Durlak, J-P Thiran, and D. Comaniciu, "User-constrained guidewire localization in fluoroscopy", SPIE Medical Imaging, 2009.
- P. Wang, Y. Zhu, W. Zhang, T. Chen, P. Durlak, U. Bill, D. Comaniciu, "Guidewire tracking in fluoroscopic sequences", SPIE Medical Imaging, 2009.
- T. Chen, and T. S. Huang, "Optimizing image registration by mutually exclusive scale components", IEEE International Conference on Cpmputer Vision (ICCV), 2007.
- T. Chen, and T. S. Huang, "Boundary correction for total variation regularized L1 functional with applications to image decomposition and segmentation", IEEE International Conference on Pattern Recognition (ICPR), (2):316-319, 2006.
- T. Chen and T. S. Huang, "Scale-driven Iterative Optimization for Brain Extraction and Registration", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (2):2467-2474, 2006.
- T. Chen, T. S. Huang, W. Yin, X. -S. Zhou, "A new coarse to fine framework for 3D brain MR image registration", Computer Vision for Biomedical Image Applications, Workshop in conjunction with ICCV, 2005.
- T. Chen, W. Yin, X.-S. Zhou, D. Comaniciu, T. S. Huang, "Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Varation Based Image Models", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2005.
- T. Chen, T. S. Huang, "Region based Hidden Markov Random Field Model for Brain MR Image Segmentation", International conference on Pattern Recognition and Computer Vision, 2005.
- T. Chen, T. S. Huang, Z.-P. Liang, "Segmentation of Brain MR Images Using Hidden Markov Random Field Model with Weighting Neighborhood System", IEEE NSS/MIC. 2004.
- M. Han, W. Hua, T. Chen, Y. Gong, "Feature design in soccer video indexing", International Conference on Information, Communications & Signal Processing, 2004.
- T. Chen, M. Han, W. Hua, Y. Gong, T. S. Huang, "A new tracking method: Tracking and identification from motion", Int'l Conf. on Computer Analysis of Images and Patterns, 2003.
- T. Chen, M. Nakazato, T. S. Huang, "Speeding up the similarity search in multimedia database", Int'l Conf. on Multimedia and Expo, 2002.