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Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation.

L. Mill, D. Wolff, N. Gerrits, P. Philipp, L. Kling, F. Vollnhals, A. Ignatenko, C. Jaremenko, Y. Huang, O. Castro, J. Audinot, I. Nelissen, T. Wirtz, A. Maier, and S. Christiansen. CoRR, (2020)

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Tatjana Mill

Beate Mill

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SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data.L. Mill, O. Aust, J. Ackermann, P. Burger, M. Pascual, K. Palumbo-Zerr, G. Krönke, S. Uderhardt, G. Schett, C. Clemen and 5 other author(s). CoRR, (2022)Learning with Known Operators reduces Maximum Training Error Bounds.A. Maier, C. Syben, B. Stimpel, T. Würfl, M. Hoffmann, F. Schebesch, W. Fu, L. Mill, L. Kling, and S. Christiansen. CoRR, (2019)Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems.Y. Huang, F. Fan, C. Syben, P. Roser, L. Mill, and A. Maier. CoRR, (2020)Towards In-Vivo X-Ray Nanoscopy - The Effect of Motion on Image Quality.L. Mill, B. Bier, C. Syben, L. Kling, A. Klingberg, S. Christiansen, G. Schett, and A. Maier. Bildverarbeitung für die Medizin, page 115-120. Springer Vieweg, (2018)Towards Mouse Bone X-ray Microscopy Scan Simulation.W. Fu, L. Mill, S. Seitz, T. Geimer, L. Kling, D. Possart, S. Christiansen, and A. Maier. Bildverarbeitung für die Medizin, page 128-133. Springer, (2021)Learning with known operators reduces maximum error bounds.A. Maier, C. Syben, B. Stimpel, T. Würfl, M. Hoffmann, F. Schebesch, W. Fu, L. Mill, L. Kling, and S. Christiansen. Nat. Mach. Intell., 1 (8): 373-380 (2019)Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation.L. Mill, D. Wolff, N. Gerrits, P. Philipp, L. Kling, F. Vollnhals, A. Ignatenko, C. Jaremenko, Y. Huang, O. Castro and 5 other author(s). CoRR, (2020)Semi-permeable Filters for Interior Region of Interest Dose Reduction in X-ray Microscopy.Y. Huang, L. Mill, R. Stoll, L. Kling, O. Aust, F. Wagner, A. Grüneboom, G. Schett, S. Christiansen, and A. Maier. Bildverarbeitung für die Medizin, page 61-66. Springer, (2021)Cephalogram synthesis and landmark detection in dental cone-beam CT systems.Y. Huang, F. Fan, C. Syben, P. Roser, L. Mill, and A. Maier. Medical Image Anal., (2021)Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network.O. Aust, M. Thies, DanielaWeidner, F. Wagner, S. Pechmann, L. Mill, D. Andreev, I. Miyagawa, G. Krönke, S. Christiansen and 3 other author(s). Bildverarbeitung für die Medizin, page 333-338. Springer, (2022)

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Disambiguation of "Mill, Leonid"

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Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation.

Please choose a person to relate this publication to

Tatjana Mill

Beate Mill

Thomas Mill

Isaak Mill

Christian Mill

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mill, Leonid"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation.

Please choose a person to relate this publication to

Tatjana Mill

Beate Mill

Thomas Mill

Isaak Mill

Christian Mill

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation.