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Synthetic Training with Generative Adversarial Networks for Segmentation of Microscopies.

J. Krauth, S. Gerlach, C. Marzahl, J. Voigt, and H. Handels. Bildverarbeitung für die Medizin, page 37-42. Springer Vieweg, (2019)

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Heinz Handels

Harald Leonhard Handels

Nancy Porter Ferguson Handels

Other publications of authors with the same name

Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network.J. Andresen, T. Kepp, J. Ehrhardt, C. von der Burchard, J. Roider, and H. Handels. WBIR, volume 13386 of Lecture Notes in Computer Science, page 3-7. Springer, (2022)Epistemic and Aleatoric Uncertainty Estimation for PED, Segmentation in Home OCT Images.T. Kepp, J. Andresen, H. Sudkamp, C. von der Burchard, J. Roider, G. Hüttmann, J. Ehrhardt, and H. Handels. Bildverarbeitung für die Medizin, page 32-37. Springer, (2022)Modellbasierte 4D-Segmentierung von Lungen mit großen Tumoren in räumlichzeitlichen CT-Bildfolgen.M. Wilms, J. Ehrhardt, and H. Handels. GI-Jahrestagung, volume P-208 of LNI, page 1764-1773. GI, (2012)Proposal of Semantic Annotation for German Metadata Using Bidirectional Recurrent Neural Networks.H. Ulrich, H. Uzunova, H. Handels, and J. Ingenerf. MIE, volume 294 of Studies in Health Technology and Informatics, page 357-361. IOS Press, (2022)Simulation and training of lumbar punctures using haptic volume rendering and a 6DOF haptic device.M. Färber, J. Heller, and H. Handels. Medical Imaging: Image-Guided Procedures, volume 6509 of SPIE Proceedings, page 65090F. SPIE, (2007)Bayesian inference for uncertainty quantification in point-based deformable image registration.S. Schultz, J. Krüger, H. Handels, and J. Ehrhardt. Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491S. SPIE, (2019)Analysis of free breathing motion using artifact reduced 4D CT image data.J. Ehrhardt, R. Werner, T. Frenzel, W. Lu, D. Low, and H. Handels. Medical Imaging: Image Processing, volume 6512 of SPIE Proceedings, page 65121N. SPIE, (2007)TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification - Leveraging Epistemic Uncertainty to Improve Model Performance.J. Niemeijer, J. Ehrhardt, H. Uzunova, and H. Handels. SASHIMI@MICCAI, volume 15187 of Lecture Notes in Computer Science, page 69-78. Springer, (2024)Medizinische Bildverarbeitung und Mustererkennung.H. Handels, U. Breuer, C. Hahn, T. Roß, and C. Roßmanith. Bildverarbeitung für die Medizin, volume 6 of CEUR Workshop Proceedings, CEUR-WS.org, (1996)Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations.M. Seibel, J. Niemeijer, M. Rowedder, H. Sudkamp, T. Kepp, G. Hüttmann, and H. Handels. Bildverarbeitung für die Medizin, page 81. Springer, (2024)

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Disambiguation of "Handels, Heinz"

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Synthetic Training with Generative Adversarial Networks for Segmentation of Microscopies.

Please choose a person to relate this publication to

Heinz Handels

Heinz Handels

Heinz Handels

Harald Leonhard Handels

Nancy Porter Ferguson Handels

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Handels, Heinz"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Synthetic Training with Generative Adversarial Networks for Segmentation of Microscopies.

Please choose a person to relate this publication to

Heinz Handels

Heinz Handels

Heinz Handels

Harald Leonhard Handels

Nancy Porter Ferguson Handels

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Synthetic Training with Generative Adversarial Networks for Segmentation of Microscopies.