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Attention u-net: Learning where to look for the pancreas

O. Öktay, J. "Schlemper, L. "Folgoc, M. "Lee, M. "Heinrich, K. "Misawa, K. "Mori, S. "McDonagh, N. "Hammerla, and B. "Kainz. (2018)

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GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs.L. Hansen, and M. Heinrich. IEEE Trans. Medical Imaging, 40 (9): 2246-2257 (2021)Anatomy-guided domain adaptation for 3D in-bed human pose estimation.A. Bigalke, L. Hansen, J. Diesel, C. Hennigs, P. Rostalski, and M. Heinrich. Medical Image Anal., (October 2023)Attention gated networks: Learning to leverage salient regions in medical images.J. Schlemper, O. Oktay, M. Schaap, M. Heinrich, B. Kainz, B. Glocker, and D. Rueckert. Medical Image Anal., (2019)Automatic Generation of Synthetic Colonoscopy Videos for Domain Randomization.A. Jagtap, M. Heinrich, and M. Himstedt. CoRR, (2022)Multimodal 3D medical image registration guided by shape encoder-decoder networks.M. Blendowski, N. Bouteldja, and M. Heinrich. Int. J. Comput. Assist. Radiol. Surg., 15 (2): 269-276 (2020)Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.Z. Xu, C. Lee, M. Heinrich, M. Modat, D. Rueckert, S. Ourselin, R. Abramson, and B. Landman. IEEE Trans. Biomed. Eng., 63 (8): 1563-1572 (2016)Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation.E. Kats, J. Hirsch, and M. Heinrich. CoRR, (2024)Abstract: Defence of Mathematical Models for Deep Learning based Registration.L. Hansen, M. Blendowski, and M. Heinrich. Bildverarbeitung für die Medizin, page 32. Springer, (2020)Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room.L. Hansen, J. Diesel, and M. Heinrich. Bildverarbeitung für die Medizin, page 178-183. Springer Vieweg, (2019)Automatic Detection and Segmentation of the Acute Vessel Thrombus in Cerebral CT.C. Lucas, J. Schöttler, A. Kemmling, L. Aulmann, and M. Heinrich. Bildverarbeitung für die Medizin, page 74-79. Springer Vieweg, (2019)

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Attention u-net: Learning where to look for the pancreas

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Attention u-net: Learning where to look for the pancreas

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Attention u-net: Learning where to look for the pancreas