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Weakly-supervised deep learning of interstitial lung disease types on CT images.

C. Wang, T. Moriya, Y. Hayashi, H. Roth, L. Lu, M. Oda, H. Ohkubo, and K. Mori. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109501H. SPIE, (2019)

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Holger Roth

Christiane Roth

Eosinophile Fasziitis: Metaanalyse von Daten und Vergleich mit Dresdner PatientenC. Roth. TU Dresden, (2009)

Claudia Regina Roth

Die Veränderung der linksventrikulären Auswurffraktion und ihre Beziehung zur Infarktgröße nach akutem MyokardinfarktC. Roth. TU München, (2009)

Other publications of authors with the same name

Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks.H. Roth, M. Oda, N. Shimizu, H. Oda, Y. Hayashi, T. Kitasaka, M. Fujiwara, K. Misawa, and K. Mori. CoRR, (2017)Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model.T. Hampshire, H. Roth, M. Hu, D. Boone, G. Slabaugh, S. Punwani, S. Halligan, and D. Hawkes. MICCAI (1), volume 6891 of Lecture Notes in Computer Science, page 508-515. Springer, (2011)Establishing spatial correspondence for the analysis of images from highly deforming anatomy.D. Hawkes, T. Mertzanidou, J. Hipwell, D. Atkinson, H. Roth, T. Hampshire, and J. McClelland. EMBC, page 3732-3735. IEEE, (2012)An analysis of robust cost functions for CNN in computer-aided diagnosis.A. Barbu, L. Lu, H. Roth, A. Seff, and R. Summers. Comput. methods Biomech. Biomed. Eng. Imaging Vis., 6 (3): 253-258 (2018)Endoluminal surface registration for CT colonography using haustral fold matching.T. Hampshire, H. Roth, E. Helbren, A. Plumb, D. Boone, G. Slabaugh, S. Halligan, and D. Hawkes. Medical Image Anal., 17 (8): 946-958 (2013)Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging.N. Tajbakhsh, H. Roth, D. Terzopoulos, and J. Liang. IEEE Trans. Medical Imaging, 40 (10): 2526-2533 (2021)Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge.X. Zhuang, J. Xu, X. Luo, C. Chen, C. Ouyang, D. Rueckert, V. Campello, K. Lekadir, S. Vesal, N. Ravikumar and 13 other author(s). CoRR, (2020)NeurReg: Neural Registration and Its Application to Image Segmentation.W. Zhu, A. Myronenko, Z. Xu, W. Li, H. Roth, Y. Huang, F. Milletari, and D. Xu. CoRR, (2019)Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images.A. Hatamizadeh, V. Nath, Y. Tang, D. Yang, H. Roth, and D. Xu. CoRR, (2022)Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography.H. Roth, T. Hampshire, J. McClelland, M. Hu, D. Boone, G. Slabaugh, S. Halligan, and D. Hawkes. Abdominal Imaging, volume 7029 of Lecture Notes in Computer Science, page 1-7. Springer, (2011)

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Disambiguation of "Roth, Holger"

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Weakly-supervised deep learning of interstitial lung disease types on CT images.

Please choose a person to relate this publication to

Holger Roth

Holger Roth

Holger Roth

Christiane Roth

Claudia Regina Roth

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Roth, Holger"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Weakly-supervised deep learning of interstitial lung disease types on CT images.

Please choose a person to relate this publication to

Holger Roth

Holger Roth

Holger Roth

Christiane Roth

Claudia Regina Roth

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
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APA
Chicago
DIN 1505
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Weakly-supervised deep learning of interstitial lung disease types on CT images.