Medical Project Manager

Yefeng Zheng

* ***** ***, ******, ** *****

Cell: 917-***-**** Work: 609-***-****

Email: abqgbx@r.postjobfree.com Web: http://www.umiacs.umd.edu/~zhengyf

Education

Aug. 2001 Dec. 2005 Doctor of Philosophy

Dept. of Electrical and Computer Engineering, University of Maryland, College Park

Sept. 1998 July 2001 Master of Engineering

Dept. of Electronic Engineering, Tsinghua University, Beijing, China

Sept. 1993 July 1998 Bachelor of Engineering

Dept. of Electronic Engineering, Tsinghua University, Beijing, China

Working Experience

Jan. 2009 Present Project Manager

Siemens Corporate Research, Princeton, New Jersey

Jan. 2006 Jan. 2009 Research Scientist

Siemens Corporate Research, Princeton, New Jersey

Project: Automatic anatomical structure detection, segmentation, and tracking in various medical imaging modalities.

May 2005 Aug. 2005 Summer Intern

Siemens Corporate Research, Princeton, New Jersey

Project: Nonrigid shape detection using machine learning techniques.

May 2004 Aug. 2004 Summer Intern

Clever Sys. Inc., Reston, Virginia

Project: Object tracking and video-based behavior analysis for experimental animals.

Aug. 1997 Sept. 1997 Summer Intern

Institute of Semi-Conductor, Chinese Academy of Sciences, Beijing, China

Project: Circuit design for a PH-meter, which monitors the acidity of a patient’s stomach.

Awards

2011 Run-up for the 38th US National Inventor of the Year Award given by Intellectual Property Owners Education Foundation for US Patent 7,916,919 on marginal space learning based anatomical structure segmentation in medical imaging.

2011 The 32th Thomas A. Edison Patent Award given by New Jersey R&D Council for US Patent 7,916,919 on marginal space learning based anatomical structure segmentation in medical imaging.

2010 Siemens Top+ Innovation Award for the Artis zeego C-arm System and Applications (syngo Aortic ValveGuide is a major application available on Artis zeego ).

2010 Techno-College Innovation Award of the European Association for Cardio-Thoracic Surgery for syngo Aortic ValveGuide .

2010 Best Paper Award (with Michael Kelm et al. on spine disk detection), MICCAI Workshop on Medical Computer Vision, Beijing, China.

2006 Best Student Paper Award (with Yi Li on handwritten text line segmentation), 10th Int’l Workshop on Frontiers in Handwriting Recognition, La Baule, France.National Scientific and Technological Award (the highest award in science and engineering in China) on an Asian Optical Character Recognition (OCR) system.

Membership

Senior Member of Institute of Electrical and Electronics Engineers (IEEE)

Student Supervision

PhD Students Co-Supervised (for the work supported by Siemens)

Michael Wels Friedrich-Alexander-University of Erlangen-N rnberg

Co-supervised with Prof. Joachim. Hornegger Defensed in 2010

Sushil Mittal Rutgers University

Co-supervised with Prof. Peter Meer Defensed in 2011

Alexander Schwing Swiss Federal Institute of Technology

Co-supervised with M. Pollefeys 2008-2009 (Unfinished and left Siemens)

Intern Students Supervised

Jianhua Shen Tsinghua University, China 2011

Chao Lu Yale University, USA 2011

Anirban Mukhopadhyay University of Georgia, USA 2011

Mingqing Chen University of Iowa, USA 2011

Pang Yu Peking University, China 2010

Tianzhou Wang Chinese Academy of Sciences, China 2010

Maciej Loziczonek Jagiellonian University, Poland 2009

Lei Zhang Rensselaer Polytechnic Institute, USA 2008

Books

[1] Y. Zheng, D. Doermann, and H. Li, Handwritten Document Image Processing: Identification, Matching, and Indexing of Handwriting in Noisy Document Images, VDM Verlag Dr. Muller, 2008, (ISBN: 978-3-639-09192-2).

Book Chapters

[1] S. K. Zhou, J. Zhang, and Y. Zheng, Discriminative Learning for Detection and Segmentation of Anatomical Structures, Ensemble Learning: Theory and Application, Edited by C. Zhang and Y. Ma, Springer (under review).

Journal Publications

[1] B. M. Kelm, M. Wels, S. K. Zhoub, S. Seifert, M. Suehling, Y. Zheng, and D. Comaniciu, Spine Detection in CT and MR Using Iterated Marginal Space Learning, Medical Image Analysis, 2011 (under review).

[2] L. Yang, B. Georgescu, Y. Zheng, Y. Wang, P. Meer, and D. Comaniciu, Predication Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking, IEEE Transactions on Medical Imaging, Vol. 30, No. 11, 2011, pp. 1921-1932.

[3] M. Wels, Y. Zheng, M. Huber, J. Hornegger, and D. Comaniciu, A Discriminative Model-Constrained EM Approach to 3-D MRI Brain Tissue Classification and Intensity Non-Uniformity Correction, Physics in Medicine & Biology, Vol. 56, No. 11, 2011, pp. 3269-3300.

[4] G. Zhu, Y. Zheng, D. Doermann, and S. Jaeger, Signature Detection and Matching for Document Image Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 11, 2009, pp. 2015-2031.

[5] Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, and D. Comaniciu, Four-Chamber Heart Modeling and Automatic Segmentation for 3D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features, IEEE Transactions on Medical Imaging, Vol. 27, No. 11, 2008, pp. 1668-1681.

[6] Y. Li, Y. Zheng, D. Doermann, and S. Jaeger, Script-Independent Text Line Segmentation in Freestyle Handwritten Documents, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, No. 8, pp. 1313-1329, 2008.

[7] Y. Zheng and D. Doermann, Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 4, pp. 643-649, 2006.

[8] M. Chen, Y. Zheng, and M. Wu, Classification-Based Spatial Error Concealment for Visual Communications, EURASIP Journal on Applied Signal Processing, Vol. 2006, pp. 1-17, 2006.

[9] Y. Zheng, H. Li, and D. Doermann, A Parallel-Line Detection Algorithm Based on HMM Decoding, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 5, pp. 777-792, 2005.

[10] Y. Zheng, H. Li, and D. Doermann, Machine Printed Text and Handwriting Identification in Noisy Document Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 3, pp. 337-353, 2004

[11] Y. Zheng, C. Liu, X. Ding, and S. Pan, Form Line Detection with Directional Single-Connected Chain, Journal of Software (in Chinese), Vol. 13, No.4, pp. 790-796, 2002.

[12] C. Liu, S. Pan, Y. Zheng, and X. Ding, Frame line detection and removal algorithm for form document recognition, Journal of Electronics and Information (in Chinese), Vol. 24, No. 9, pp.1190-1196, 2002.

[13] Y. Zheng, C. Liu, and X. Ding, "Form Frame Line Removal with Line Width Threshold Approach," Pattern Recognition and Artificial Intelligence (in Chinese), Vol. 14, No. 2, pp. 210-214, 2001.

Conference Publications

[1] S. Tzoumas, P. Wang, Y. Zheng, M. John, and D. Comaniciu, Robust pigtail catheter tip detection in fluoroscopy, Proc. SPIE Conf. Medical Imaging, 2012.

[2] Y. Zheng, H. Tek, G. Funka-Lea, S. K. Zhou, F. Vega-Higuera, and D. Comaniciu, Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures, Proc. Int’l Conf. Medical Image Computing and Computer Assisted Intervention, 2011.

[3] Y. Zheng, T. Wang, M. John, S. K. Zhou, J. Boese, D. Comaniciu, Multi-Part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation, Proc. Int’l Conf. Medical Image Computing and Computer Assisted Intervention, 2011.

[4] M. Kelm, S. Mittal, Y. Zheng, G. Funka-Lea, D. Bernhardt, F. Vega-Higuera, and D. Comaniciu, Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography, Proc. Int’l Conf. Medical Image Computing and Computer Assisted Intervention, 2011.

[5] M. Chen, Y. Zheng, K. Mueller, C. Rohkohl, G. Lauritsch, J. Boese, G. Funka-Lea, and D. Comaniciu, Automatic Extraction of 3D Dynamic Left Ventricle Model From 2D Rotational Angiography, Proc. Int’l Conf. Medical Image Computing and Computer Assisted Intervention, 2011.

[6] S. Grbic, R. Ionasec, T. Mansi, Y. Wang, B. Georgescu, M. John, J. Boese, Y. Zheng, N. Navab, and D. Comaniciu, Model-Based Fusion of Multi-Modal Volumetric Images: Application to Transcatheter Valve Procedures, Proc. Int’l Conf. Medical Image Computing and Computer Assisted Intervention, 2011 (Run-up for Yong Investigator’s Award).

[7] H. Tek, Y. Zheng, M. A. Gulsun, and G. Funka-Lea, An Automatic System for Segmenting Coronary Arteries from CTA, Proc. MICCAI Workshop on Computing and Visualization for Intravascular Imaging, 2011.

[8] A.G. Schwing, C. Zach, Y. Zheng and M. Pollefeys, Adaptive Random Forest - How many ``experts'' to ask before making a decision? Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2011.

[9] S. Miao, R. Liao, and Y. Zheng, A Hybrid Method for 2-D/3-D Registration Between 3-D Volumes and 2-D Angiography for Trans-Catheter Aortic Valve Implantation (TAVI), Proc. IEEE Int’l Sym. Biomedical Imaging, 2011.

[10] Y. Zheng, M. Loziczonek, B. Georgescu, S. K. Zhou, F. Vega-Higuera, and D. Comaniciu, Machine Learning Based Vesselness Measurement for Coronary Artery Segmentation in Cardiac CT Volumes, Proc. SPIE Conf. Medical Imaging, 2011.

[11] Y. Zheng, F. Vega-Higuera, S. K. Zhou, and D. Comaniciu, Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization, Proc. Int’l Workshop on Machine Learning in Medical Imaging (In conjunction with MICCAI), 2010.

[12] S. Mittal, Y. Zheng, B. Georgescu, F. Vega-Higuera, S. K. Zhou, P. Meer, and D. Comaniciu, Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images, Proc. Int’l Workshop on Machine Learning in Medical Imaging (In conjunction with MICCAI), 2010.

[13] R. Ionasec, I. Voigt, V. Mihalef, S. Grbic, D. Vitanovski, Y. Wang, Y. Zheng, J. Hornegger, N. Navab, B. Georgescu, and D. Comaniciu, Patient-specific Modeling of the Heart: Applications to Cardiovascular Disease Management, Proc. Int’l Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (In conjunction with MICCAI), 2010.

[14] B. M. Kelm, S. K. Zhou, M. Suehling, Y. Zheng, M. Wels, and D. Comaniciu, Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning, Proc. Int’l Workshop on Medical Computer Vision -- Recognition Techniques and Applications in Medical Imaging (In conjunction with MICCAI), 2010 (Best Paper Award).

[15] Y. Zheng, M. John, R. Liao, J. Boese, U. Kirschstein, B. Georgescu, S. K. Zhou, J. Kempfert, T. Walther, G. Brockmann, and D. Comaniciu, Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation, Proc. Int’l Conf. Medical Image Computing and Computer Assisted Intervention, 2010.

[16] M. John, R. Liao, Y. Zheng, A. Nottling, J. Boese, U. Kirschstein, J. Kempfert, and T. Walther, System to Guide Transcatheter Aortic Valve Implantations Based on Interventional 3D C-arm CT Imaging, Proc. Int’l Conf. Medical Image Computing and Computer Assisted Intervention, 2010.

[17] V. Mihalef, R. I. Ionasec, Y. Wang, Y. Zheng, B. Georgescu, and D. Comaniciu, Patient-Specific Modeling of Left Heart Anatomy, Dynamics and Hemodynamics from High Resolution 4D CT, Proc. IEEE Int’l Sym. Biomedical Imaging, 2010.

[18] S. Grbic, R. I. Ionasec, Y. Zheng, D. Zauner, B. Georgescu, and D. Comaniciu, Aortic Valve and Ascending Aortic Root Modeling from 3D and 3D+t CT, Proc. SPIE Conf. Medical Imaging, 2010.

[19] M. Wels, Y. Zheng, G. Carneiro, M. Huber, J. Hornegger, and D. Comaniciu, Fast and Robust 3-D MRI Brain Structure Segmentation, Proc. Int’l Conf. Medical Image Computing and Computer Assisted Intervention, 2009.

[20] Y. Zheng, B. Georgescu, and D. Comaniciu, Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images, Proc. Int’l Conf. Information Processing in Medical Imaging, 2009, pp. 411-422.

[21] Y. Zheng, X. Lu, B. Georgescu, A. Littmann, E. Mueller, and D. Comaniciu, Robust Object Detection Using Marginal Space Learning and Ranking-Based Multi-Detector Aggregation: Application to Automatic Left Ventricle Detection in 2D MRI Images, Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2009.

[22] Y. Zheng, B. Georgescu, H. Ling, S.K. Zhou, M. Scheuering, and D. Comaniciu, Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images, Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2009.

[23] Y. Zheng, X. Lu, B. Georgescu, A. Littmann, E. Mueller, and D. Comaniciu, Automatic Left Ventricle Detection in MRI Images Using Marginal Space Learning and Component-Based Voting, Proc. SPIE Medical Imaging, 2009.

[24] Y. Zheng, B. Georgescu, F. Vega-Higuera, and D. Comaniciu, Left Ventricle Endocardium Segmentation for Cardiac CT Volumes Using an Optimal Smooth Surface, Proc. SPIE Medical Imaging, 2009.

[25] G. Zhu, Y. Zheng, and D. Doermann, Signature-based Document Image Retrieval, Proc. European Conf. Computer Vision, 2008.

[26] H. Ling, S.K. Zhou, Y. Zheng, B. Georgescu, M. Suehling, and D. Comaniciu, Hierarchical, Learning-based Automatic Liver Segmentation, Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008.

[27] L. Yang, B. Georgescu, Y. Zheng, P. Meer, and D. Comaniciu, 3D Ultrasound Tracking of the Left Ventricles Using One-Step Forward Prediction and Data Fusion of Collaborative Trackers, Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008.

[28] L. Yang, B. Georgescu, Y. Zheng, D. J. Foran, and D. Comaniciu, A Fast and Accurate Tracking Algorithm of Left Ventricles in 3D echocardiography, Proc. IEEE Int’l Sym. Biomedical Imaging, 2008.

[29] X. Lu, B. Georgescu, Y. Zheng, J. Otsuki, R. Bennett, and D. Comaniciu, Automatic Detection of Standard Planes from Three Dimensional Echocardiographic Data, Proc. IEEE Int’l Sym. Biomedical Imaging, 2008.

[30] Y. Zheng, B. Georgescu, A. Barbu, M. Scheuering, and D. Comaniciu, Four-Chamber Heart Modeling and Automatic Segmentation for 3D Cardiac CT Volumes, Proc. SPIE Conf. Medical Imaging, 2008.

[31] Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, and D. Comaniciu, Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features, Proc. Int’l Conf. Computer Vision, 2007.

[32] G. Zhu, Y. Zheng, D. Doermann, and S. Jaeger, Multi-scale Structural Saliency for Signature Detection, Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2007, pp. 1-8.

[33] Y. Li, Y. Zheng, D. Doermann, and S. Jaeger, A New Algorithm for Detecting Text Line in Handwritten Documents, Proc. Int’l Workshop on Frontiers in Handwriting Recognition, 2006 (Best Student Paper Award).

[34] Y. Li, Y. Zheng, and D. Doermann, Detecting Text Lines in Handwritten Documents, Proc. Int’l Conf. Pattern Recognition, 2006, pp. 1030-1033.

[35] Y. Zheng, X.S. Zhou, B. Georgescu, S.K. Zhou, and D. Comaniciu, Example Based Non-rigid Shape Detection, Proc. European Conf. Computer Vision, 2006, pp. 423-436.

[36] Y. Zheng and D. Doermann, Robust Point Matching for Two-Dimensional Nonrigid Shapes, Proc. Int’l Conf. Computer Vision, 2005, pp. 1561-1566.

[37] Y. Zheng and D. Doermann, Handwriting Matching and Its Application to Handwriting Synthesis, Proc. Int’l Conf. Document Analysis & Recognition, 2005, pp. 861-865.

[38] M. Chen, M. Wu, and Y. Zheng, Classification-based Spatial Error Concealment for Images, Proc. Int’l Conf. Image Processing, 2003, pp. 675 -678.

[39] Y. Zheng, H. Li, and D. Doermann, A Model-based Line Detection Algorithm in Documents, Proc. Int’l Conf. Document Analysis & Recognition, 2003, pp. 44-48.

[40] Y. Zheng, H. Li, and D. Doermann, Text Identification in Noisy Document Images Using Markov Random Field, Proc. Int’l Conf. Document Analysis & Recognition, 2003, pp. 599-603.

[41] Y. Zheng, H. Li, and D. Doermann, Processing Noisy Documents, Sym. Document Image Understanding Technology, 2003, pp. 97-109.

[42] Y. Zheng, H. Li, and D. Doermann, Background Line Detection with A Stochastic Model, IEEE Workshop on Document Image Analysis and Retrieval (In conjunction with IEEE CVPR'03), 2003.

[43] Y. Zheng, H. Li, and D. Doermann, The Segmentation and Identification of Handwriting in Noisy Documents, Proc. IAPR Conf. Document Analysis System, 2002, pp. 95-105.

[44] Y. Zheng, C. Liu, and X. Ding, Single Character Type Identification, Proc. SPIE Document Recognition and Retrieval IX, Vol. 4670, 2002, pp. 49-56.

[45] Y. Zheng, C. Liu, X. Ding, and S. Pan, Form Frame Line Detection with Directional Single-Connected Chain, Proc. Int’l Conf. Document Analysis & Recognition, 2001, pp. 699-703.

Patents

[1] P. Wang, Y. Zheng, M. John, J. Boese, G. Funka-Lea, D. Comaniciu, Adaptive Discriminant Learning and Measurement Fusion for Image-based Catheter Tracking in Trans-catheter Aortic Valve Implantation, US Patent Application (under preparing with deadline March, 2012).

[2] Y. Zheng, J. Shen, H. Tek, G. Funka-Lea, F. Vega-Higuera, and D. Comaniciu, Robust Coronary Artery Centerline Extraction by Combining Model-Driven and Data-Driven Approaches, US Patent Application (under preparing with deadline Sept., 2012).

[3] M. Chen, Y. Zheng, G. Funka-Lea, G. Lauritsch, J. Boese, and D. Comaniciu, "3D Cardiac Motion Estimation from Single Scan of C-arm Angiography: Application to Motion-Compensated CT Reconstruction," US Patent Application (under preparing with deadline Jan., 2012).

[4] Y. Zheng, T. Wang, M. John, G. Funka-Lea, J. Boese, D. Comaniciu, Using Shape Constraints to Improve the Robustness of Multi-Part Left Atrium Segmentation in C-Arm CT Volumes with Applications to Atrial Fibrillation Ablation, US Patent Application (under preparing with deadline March, 2012).

[5] M. John, J. Boese, A. Nottling, R. Liao, and Y. Zheng, "Automated X-Ray Overlay Motion Compensation by Combining Instrument Tracking and 2D/3D Model Registration for Transcatheter Aortic Valve Implantations," US Patent Application (under preparing with deadline Jan. 2012).

[6] Y. Zheng, F. Vega-Higuera, and D. Comaniciu, Method and System for Heart Isolation in Cardiac Computed Tomography Volumes for Patients with Coronary Artery Bypasses, US Patent Application (filed in Nov. 2011).

[7] Y. Pang, Y. Zheng, M. John, Jan Boese, and D. Comaniciu, Method and System for Pigtail Catheter Motion Prediction, US Patent Application (filed in Nov., 2011).

[8] R. I. Ionasec, I. Voigt, B. Georgescu, Y. Zheng, J. Boese, K. Klingenbeck, and D. Comaniciu, Method and System for Intraoperative Guidance Using Physiological Image Fusion, US Patent Application (filed in Nov. 2011).

[9] Y. Zheng, Y. Pang, R. Liao, M. John, Jan Boese, S. K. Zhou, and D. Comaniciu, Method and System for Efficient Extraction of a Silhouette of a 3D Mesh, US Patent Application (filed in Sept., 2011).

[10] Y. Zheng, F. Vega-Higuera, S. K. Zhou, and D. Comaniciu, Method and System for Automatic Native and Bypass Coronary Ostia Detection in Cardiac Computed Tomography Volumes, US Patent Application (filed in Sept., 2011).

[11] S. Mittal, S. Palanivelu, Y. Zheng, and S. Witzig, Automatic Document Image Extraction and Comparison, US Patent Application (filed in Aug., 2011).

[12] A. Tsymbal, M. Kelm, M. J. Costa, S. K. Zhou, D. Comaniciu, A. Schwing, and Y. Zheng, Image Processing Using Random Forest Classifier, US Patent Application (filed in July, 2011).

[13] R.I. Ionasec, I. Voigt, V. Mihalef, S. Grbic, D. Vitanovski, Y. Wang, Y. Zheng, B. Georgescu, D. Comaniciu, and P. Sharma, and T. Mansi, Method and System for Comprehensive Patient-Specific Modeling of the Heart, US Patent Application (filed in May, 2011).

[14] M. Kelm, S. Mittal, Y. Zheng, S. K. Zhou, A. Tsymbal, D. Bernhardt, F. Vega-Higuera, and D. Comaniciu, Method and System for Automatic Detection and Classification of Coronary Stenoses in Cardiac CT Volumes, US Patent Application (filed in Mar., 2011).

[15] R.I. Ionasec, D. Zaeuner, I. Voigt, B. Georgescu, Y. Zheng, Jan Boese, and D. Comaniciu, Method and System for Virtual Percutaneous Valve Implantation, US Patent Application (filed in Jan., 2011).

[16] M. John, R. Liao, Y. Zheng, A. N ttling, Jan Boese, and Uwe Kirschstein, System and Method for Guiding Transcatheter Aortic Valve Implantations Based on Interventional C-arm CT Imaging, US Patent Application (filed in Dec., 2010).

[17] Y. Zheng, D. Liu, J. Boese, and D. Comaniciu, Method and System for Automatic Extraction of Personalized Left Atrium Models, US Patent Application (filed in Sept., 2010).

[18] Y. Zheng, M. John, J. Boese, and D. Comaniciu, Method and System for Shape-Constrained Aortic Valve Landmark Detection, US Patent Application (filed in Sept., 2010).

[19] M. John, R. Liao, Y. Zheng, A. Noettling, and J. Boese, Method and Apparatus for Determining Angulation of C-Arm Image Acquisition System for Aortic Valve Implantation, US Patent Application (filed in August, 2010).

[20] M. Kelm, S. K. Zhou, Y. Zheng, and M. Suehling, Method and System for Detection 3D Spinal Geometry Using Iterated Marginal Space Learning, US Patent Application (filed in June, 2010).

[21] Y. Zheng, B. Georgescu, M. John, J. Boese, and D. Comaniciu, Method and System for Automatic Aorta Segmentation, US Patent Application (filed in March, 2010).

[22] Y. Zheng, B. Georgescu, A. Littman, E. Muller, and D. Comaniciu, Method and System for Left Ventricle Detection in 2D Magnetic Resonance Images Using Ranking Based Multi-Detector Aggregation, US Patent Application (filed in Jan., 2010).

[23] R. Ionasec, B. Georgescu, Y. Zheng, and D. Comaniciu, Method and System for Physiological Image Registration and Fusion, US Patent Application (filed in Oct., 2009).

[24] R. Ionasec, B. Georgescu, Y. Zheng, and D. Comaniciu, Method and System for Generating a Personalized Anatomical Heart Model, US Patent Application (filed in Oct., 2009).

[25] A. Schwing, Y. Zheng, M. Harder, and D. Comaniciu, Method and System for Anatomic Landmark Detection Using Constrained Marginal Space Learning and Geometric Inference, US Patent Application (filed in Oct., 2009).

[26] M. Wels, Y. Zheng, G. Carneiro, M. Huber, and D. Comaniciu, Method and System for Automatic Segmentation of Volumetric Measurement of Sub-Cortical Brain Structures From 3-D MRI Data, US Patent Application (filed in Sept., 2009).

[27] Y. Zheng, X. Lu, B. Georgescu, A. Littmann, E. Mueller, and D. Comaniciu, Method and System for Left Ventricle Detection in 2D Magnetic Resonance Images, US Patent Application (filed in August, 2009).

[28] L. Zhang, Y. Zheng, B. Georgescu, F. Vega-Higuera, and D. Comaniciu, Method and System for Automatic Coronary Artery Detection, US Patent Application (filed in June, 2009).

[29] Y. Zheng, B. Georgescu, H. Ling, M. Scheuering, and D. Comaniciu, Method and System for Detection 3D Anatomical Structures Using Constrained Marginal Space Learning, US Patent Application (filed in May, 2009).

[30] S. Mittal, Y. Zheng, B. Georgescu, F. Vega-Higuera, and D. Comaniciu, Method and System for Automatic Detection of Coronary Stenosis in Cardiac Computed Tomography Data, US Patent Application (filed in March, 2009).

[31] Y. Zheng, B. Georgescu, M. Scheuering, and D. Comaniciu, Method and System for Left Ventricle Endocardium Surface Segmentation Using Constrained Optimal Mesh Smoothing, US Patent Application (filed in Jan., 2009).

[32] Y. Zheng, B. Georgescu, M. Scheuering, and D. Comaniciu, Method and System for Measuring Left Ventricle Volume, US Patent Application (filed in Aug., 2008).

[33] Y. Zheng, A. Barbu, B. Georgescu, M. Lynch, M. Scheuering, and D. Comaniciu, Method and System for generating a four-chamber heart model, US Patent Application (filed in April, 2008).

[34] W. Zhang, A. Barbu, Y. Zheng, and D. Comaniciu, Method and System for Object Detection Using Probabilistic Boosting Cascade Tree, US Patent Application (filed in Sept., 2007).

[35] X. Lu, B. Georgescu, Y. Zheng, J. Otsuki, R. Bennett, and D. Comaniciu, A Method and System for Automatic Detection of Standard Planes from 3D Echocardiographic Data, US Patent 8,073,215, Granted in Dec., 2011. (German Patent Granted in July, 2011)

[36] A. Barbu, Y. Zheng, J. Yang, B. Georgescu, and D. Comaniciu, System and Method for Detecting an Object in a High Dimensional Space, US Patent 8,009,900, Granted in Aug., 2011.

[37] Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, and D. Comaniciu, System and Method for Segmenting Chambers of a Heart in a Three Dimensional Image, US Patent 7,916,919, Granted in Mar., 2011. (Thomas A. Edison Patent Award).

[38] Y. Zheng, X.S. Zhou, B. Georgescu, S.K. Zhou, and D. Comaniciu, System and Method for Learning Relative Distance in a Shape Space Using Image Based Features, US Patent 7,603,000, Granted in Oct., 2009.

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