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Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images.

T. Stein, J. Metzger, J. Scherer, F. Isensee, T. Norajitra, J. Kleesiek, K. Maier-Hein, and M. Nolden. Bildverarbeitung für die Medizin, page 158-163. Springer Vieweg, (2019)

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Tobias Menold University of Stuttgart

Tobias Rentschler University of Stuttgart

Tobias Schwinn University of Stuttgart

Tobias Eisenreich University of Stuttgart

Tobias Schlager University of Stuttgart

Other publications of authors with the same name

3D Statistical Shape Models Incorporating Landmark-Wise Random Regression Forests for Omni-Directional Landmark Detection.T. Norajitra, and K. Maier-Hein. IEEE Trans. Med. Imaging, 36 (1): 155-168 (2017)Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung - Segmentierung per Abstimmung.T. Norajitra, S. Engelhardt, T. Held, S. Al-Maisary, R. Simone, H. Meinzer, and K. Maier-Hein. Bildverarbeitung für die Medizin, page 56-61. Springer, (2016)Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen.E. Heim, T. Roß, T. Norajitra, M. Nolden, K. März, D. Kondermann, S. Speidel, K. Maier-Hein, and L. Maier-Hein. CURAC, page 37-42. (2015)Automated Containerized Medical Image Processing Based on MITK and Python - A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data.C. Goch, J. Metzger, M. Hettich, A. Klein, T. Norajitra, M. Götz, J. Petersen, K. Maier-Hein, and M. Nolden. Bildverarbeitung für die Medizin, page 315. Springer Vieweg, (2018)A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting.P. Neher, M. Götz, T. Norajitra, C. Weber, and K. Maier-Hein. MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 45-52. Springer, (2015)Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images.T. Stein, J. Metzger, J. Scherer, F. Isensee, T. Norajitra, J. Kleesiek, K. Maier-Hein, and M. Nolden. Bildverarbeitung für die Medizin, page 158-163. Springer Vieweg, (2019)Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.F. Isensee, J. Petersen, A. Klein, D. Zimmerer, P. Jaeger, S. Kohl, J. Wasserthal, G. Koehler, T. Norajitra, S. Wirkert and 1 other author(s). Bildverarbeitung für die Medizin, page 22. Springer Vieweg, (2019)nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.F. Isensee, J. Petersen, A. Klein, D. Zimmerer, P. Jaeger, S. Kohl, J. Wasserthal, G. Koehler, T. Norajitra, S. Wirkert and 1 other author(s). CoRR, (2018)A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data.M. Götz, E. Heim, K. März, T. Norajitra, M. Hafezi, N. Fard, A. Mehrabi, M. Knoll, C. Weber, L. Maier-Hein and 1 other author(s). Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841I. SPIE, (2016)

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Disambiguation of "Norajitra, Tobias"

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Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images.

Please choose a person to relate this publication to

Tobias Menold University of Stuttgart

Tobias Rentschler University of Stuttgart

Tobias Schwinn University of Stuttgart

Tobias Eisenreich University of Stuttgart

Tobias Schlager University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Norajitra, Tobias"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images.

Please choose a person to relate this publication to

Tobias Menold University of Stuttgart

Tobias Rentschler University of Stuttgart

Tobias Schwinn University of Stuttgart

Tobias Eisenreich University of Stuttgart

Tobias Schlager University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images.