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Data-Driven Reduction of a Cardiac Myofilament Model.

T. Mansi, B. Georgescu, J. Hussan, P. Hunter, A. Kamen, and D. Comaniciu. FIMH, volume 7945 of Lecture Notes in Computer Science, page 232-240. Springer, (2013)

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Comparative Analysis of Tunable Q-Enhancement Filter Cell Topologies in a 2.4 GHz LNA.B. Georgescu, J. Nakaska, I. Finvers, and F. Ghannouchi. CSSP, 31 (5): 1577-1597 (2012)Edge Detection with Embedded Confidence.P. Meer, and B. Georgescu. IEEE Trans. Pattern Anal. Mach. Intell., 23 (12): 1351-1365 (2001)Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease.I. Voigt, D. Vitanovski, R. Ionasec, A. Tsymbal, B. Georgescu, S. Zhou, M. Huber, N. Navab, J. Hornegger, and D. Comaniciu. Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 762314. SPIE, (2010)Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking.L. Yang, B. Georgescu, Y. Zheng, Y. Wang, P. Meer, and D. Comaniciu. IEEE Trans. Med. Imaging, 30 (11): 1921-1932 (2011)Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features.Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, and D. Comaniciu. IEEE Trans. Med. Imaging, 27 (11): 1668-1681 (2008)Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation.Z. Shen, Y. Chen, S. Zhou, B. Georgescu, X. Liu, and T. Huang. CoRR, (2019)One-to-one Mapping for Unpaired Image-to-image Translation.Z. Shen, S. Zhou, Y. Chen, B. Georgescu, X. Liu, and T. Huang. CoRR, (2019)Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks.S. Gündel, S. Grbic, B. Georgescu, S. Zhou, L. Ritschl, A. Meier, and D. Comaniciu. CoRR, (2018)Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans.F. Ghesu, B. Georgescu, Y. Zheng, S. Grbic, A. Maier, J. Hornegger, and D. Comaniciu. IEEE Trans. Pattern Anal. Mach. Intell., 41 (1): 176-189 (2019)Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning.Y. Zheng, D. Liu, B. Georgescu, H. Nguyen, and D. Comaniciu. Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, (2017)

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Data-Driven Reduction of a Cardiac Myofilament Model.

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Data-Driven Reduction of a Cardiac Myofilament Model.