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Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification.

C. Haarburger, M. Baumgartner, D. Truhn, M. Broeckmann, H. Schneider, S. Schrading, C. Kuhl, and D. Merhof. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 495-503. Springer, (2019)

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Dr. -Ing. Daniel Holder University of Stuttgart

Optimisation Approach for the Convergence Process of Design and Technology in Automotive DevelopmentF. Reichelt, D. Holder, and T. Maier. Interdisciplinary Practice in Industrial Design : Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, 100, page 109-118. New York, AHFE Open Access, (2023)

Daniel Holder University of Stuttgart

Daniel Sollich University of Stuttgart

Daniel Mezger University of Stuttgart

Univ. -Prof. Dr. Daniel Hole University of Stuttgart

Other publications of authors with the same name

Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images.C. Haarburger, P. Langenberg, D. Truhn, H. Schneider, J. Thüring, S. Schrading, C. Kuhl, and D. Merhof. Bildverarbeitung für die Medizin, page 216-221. Springer Vieweg, (2018)Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR images.C. Haarburger, J. Ruther, D. Truhn, S. Schrading, D. Bug, C. Kuhl, and D. Merhof. ISBI, page 826-830. IEEE, (2018)Prediction of Liver Function Based on DCE-CT.O. Rippel, D. Truhn, J. Thüring, C. Haarburger, C. Kuhl, and D. Merhof. Bildverarbeitung für die Medizin, page 8-13. Springer Vieweg, (2019)Measuring Plant Root Growth.M. Mühlich, D. Truhn, K. Nagel, A. Walter, H. Scharr, and T. Aach. DAGM-Symposium, volume 5096 of Lecture Notes in Computer Science, page 497-506. Springer, (2008)Camera Calibration for Fish-Eye Lenses en Endoscopy with an Application to 3d Reconstruction.T. Stehle, D. Truhn, T. Aach, C. Trautwein, and J. Tischendorf. ISBI, page 1176-1179. IEEE, (2007)Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification.C. Haarburger, M. Baumgartner, D. Truhn, M. Broeckmann, H. Schneider, S. Schrading, C. Kuhl, and D. Merhof. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 495-503. Springer, (2019)Automated major psoas muscle volumetry in computed tomography using machine learning algorithms.F. Duong, M. Gadermayr, D. Merhof, C. Kuhl, P. Bruners, S. Loosen, C. Roderburg, D. Truhn, and M. Schulze-Hagen. Int. J. Comput. Assist. Radiol. Surg., 17 (2): 355-361 (2022)