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An Experimental Comparison of Appearance and Geometric Model Based Recognition.

J. Mundy, A. Liu, N. Pillow, A. Zisserman, S. Abdallah, S. Utcke, S. Nayar, and C. Rothwell. Object Representation in Computer Vision, volume 1144 of Lecture Notes in Computer Science, page 247-269. Springer, (1996)

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L. Ahlgrimm

Dr. Joseph Michaels University of Stuttgart

Lambert Theisen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, and B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, and T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Univ. -Prof. Dr. Remco Ingmar Leine University of Stuttgart

Other publications of authors with the same name

MRF Reinforcer: A Probabilistic Element for Space Redundancy in Nanoscale Circuits.K. Nepal, R. Bahar, J. Mundy, W. Patterson, and A. Zaslavsky. IEEE Micro, 26 (5): 19-27 (2006)Relative motion and pose from invariants.A. Zisserman, C. Marinos, D. Forsyth, J. Mundy, and C. Rothwell. BMVC, page 1-6. BMVA Press, (1990)Designing MRF based error correcting circuits for memory elements.K. Nepal, R. Bahar, J. Mundy, W. Patterson, and A. Zaslavsky. DATE, page 792-793. European Design and Automation Association, Leuven, Belgium, (2006)Interactive presentation: Techniques for designing noise-tolerant multi-level combinational circuits.K. Nepal, R. Bahar, J. Mundy, W. Patterson, and A. Zaslavsky. DATE, page 576-581. EDA Consortium, San Jose, CA, USA, (2007)Automatic Geolocation Correction of Satellite Imagery.Ö. Özcanli, Y. Dong, J. Mundy, H. Webb, R. Hammoud, and V. Tom. International Journal of Computer Vision, 116 (3): 263-277 (2016)Multi-Modal Fusion for Video Understanding.A. Hoogs, J. Mundy, and G. Cross. AIPR, page 103-108. IEEE Computer Society, (2001)Fusion of Intensity, Texture, and Color in Video Tracking Based on Mutual Information.J. Mundy, and C. Chang. AIPR, page 10-15. IEEE Computer Society, (2004)Reasoning about three dimensional space.D. Kapur, J. Mundy, D. Musser, and P. Narendran. ICRA, page 405-410. IEEE, (1985)Invariance-a new framework for vision.D. Forsyth, J. Mundy, A. Zisserman, and C. Brown. ICCV, page 598-605. IEEE Computer Society, (1990)Towards the Integration of Geometric and Appearance-Based Object Recognition.J. Mundy, and T. Saxena. Shape, Contour and Grouping in Computer Vision, volume 1681 of Lecture Notes in Computer Science, page 234-245. Springer, (1999)