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Prediction of Biomechanical Parameters of the Proximal Femur Using Statistical Appearance Models and Support Vector Regression.

K. Fritscher, B. Schuler, T. Link, F. Eckstein, N. Suhm, M. Hänni, C. Hengg, and R. Schubert. MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 568-575. Springer, (2008)

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Maike Link University of Stuttgart

Lukas Link University of Stuttgart

Patrick Linker University of Stuttgart

Dipl.-Ing. Thomas Kuestner

Scan time reduction in DWI of the pancreas using simultaneous multislice technique with different acceleration factors: how fast can we go?J. Taron, P. Martirosian, T. Küstner, M. Notohamiprodjo, J. Weiß, A. Othman, K. Nikolaou, and C. Schraml. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Scan time reduction in DWI of the pancreas using simultaneous multislice technique with different acceleration factors: how fast can we go?J. Taron, P. Martirosian, T. Küstner, M. Notohamiprodjo, J. Weiß, A. Othman, K. Nikolaou, and C. Schraml. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)The use of a generalized reconstruction by inversion of coupled systems (GRICS) approach for generic respiratory motion correction in PET/MR imagingH. Fayad, F. Odille, H. Schmidt, C. Würslin, T. Küstner, J. Felblinger, and D. Visvikis. Physics in medicine and biology, 60 (6): 2529-46 (March 2015)In-vivo MR-derived non-rigid motion correction of simultaneously acquired PETT. Küstner, C. Würslin, S. Gatidis, P. Martirosian, N. Schwenzer, B. Yang, and H. Schmidt. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Toronto, Canada, (June 2015)

M. Nudischer

Other publications of authors with the same name

Does femoral strain distribution coincide with the occurrence of cervical versus trochanteric hip fractures? An experimental finite element study.J. Koivumäki, J. Thevenot, P. Pulkkinen, J. Salmi, V. Kuhn, E. Lochmüller, T. Link, F. Eckstein, and T. Jämsä. Med. Biol. Engineering and Computing, 48 (7): 711-717 (2010)3D reconstruction of both shape and bone mineral density distribution of the femur from DXA images.L. Humbert, T. Whitmarsh, M. Craene, L. del Río Barquero, K. Fritscher, R. Schubert, F. Eckstein, T. Link, and A. Frangi. ISBI, page 456-459. IEEE, (2010)Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs.B. Norman, V. Pedoia, A. Noworolski, T. Link, and S. Majumdar. J. Digital Imaging, 32 (3): 471-477 (2019)Inter-subject comparison of MRI knee cartilage thickness.J. Carballido-Gamio, J. Bauer, R. Stahl, K. Lee, S. Krause, T. Link, and S. Majumdar. Medical Image Analysis, 12 (2): 120-135 (2008)Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression.C. Yang, M. Nagarajan, M. Huber, J. Carballido-Gamio, J. Bauer, T. Baum, F. Eckstein, E. Lochmüller, S. Majumdar, T. Link and 1 other author(s). J. Electronic Imaging, 23 (1): 013013 (2014)Femoral strength prediction using a 3D reconstruction method from Dual-energy X-ray Absorptiometry.L. Humbert, T. Whitmarsh, K. Fritscher, L. del Río Barquero, F. Eckstein, T. Link, R. Schubert, and A. Frangi. ISBI, page 1451-1454. IEEE, (2012)Prediction of Biomechanical Parameters of the Proximal Femur Using Statistical Appearance Models and Support Vector Regression.K. Fritscher, B. Schuler, T. Link, F. Eckstein, N. Suhm, M. Hänni, C. Hengg, and R. Schubert. MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 568-575. Springer, (2008)Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression.M. Huber, C. Yang, J. Carballido-Gamio, J. Bauer, T. Baum, M. Nagarajan, F. Eckstein, E. Lochmüller, S. Majumdar, T. Link and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83151W. SPIE, (2012)3D bone mineral density distribution and shape reconstruction of the proximal femur from a single simulated DXA image: an in vitro study.T. Whitmarsh, L. Humbert, M. Craene, L. del Río Barquero, K. Fritscher, R. Schubert, F. Eckstein, T. Link, and A. Frangi. Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76234U. SPIE, (2010)Nicht-lineare Texturmaße basierend auf den Minkowski-Funktionalen in 3D: Vorhersage der Bruchlast trabekulärer Knochenpräparate durch Strukturanalyse hochauflösender MR-Aufnahmen.H. Böhm, C. Räth, R. Monetti, D. Newitt, S. Majumdar, E. Rummeny, G. Morfill, and T. Link. Bildverarbeitung für die Medizin, volume 116 of CEUR Workshop Proceedings, page 140-144. CEUR-WS.org, (2004)