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Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods.

M. Kopaczka, M. Saggiomo, M. Güttler, K. Kielholz, and D. Merhof. ICPRAM (Revised Selected Papers), volume 11351 of Lecture Notes in Computer Science, page 141-163. Springer, (2018)

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Dorit Merhof

Katrin Merhof

Mark Merhof

Peter Dorittke

Germut Merhof

Other publications of authors with the same name

Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images.C. Haarburger, P. Langenberg, D. Truhn, H. Schneider, J. Thüring, S. Schrading, C. Kuhl, and D. Merhof. Bildverarbeitung für die Medizin, page 216-221. Springer Vieweg, (2018)An Inspection System for Multi-Label Polymer Classification.T. Stiebel, M. Bosling, A. Steffens, T. Pretz, and D. Merhof. ETFA, page 623-630. IEEE, (2018)Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability.M. Gadermayr, D. Eschweiler, B. Klinkhammer, P. Boor, and D. Merhof. ICISP, volume 10884 of Lecture Notes in Computer Science, page 461-469. Springer, (2018)Face Tracking and Respiratory Signal Analysis for the Detection of Sleep Apnea in Thermal Infrared Videos with Head Movement.M. Kopaczka, Ö. Özkan, and D. Merhof. ICIAP Workshops, volume 10590 of Lecture Notes in Computer Science, page 163-170. Springer, (2017)Have we underestimated the power of image undistortion?W. Li, W. Huang, M. Breier, and D. Merhof. ICIP, page 2946-2950. IEEE, (2016)Text recognition for information retrieval in images of printed circuit boards.W. Li, S. Neullens, M. Breier, M. Bosling, T. Pretz, and D. Merhof. IECON, page 3487-3493. IEEE, (2014)MixNet: Multi-modality Mix Network for Brain Segmentation.L. Chen, and D. Merhof. CoRR, (2020)Enhancing Deep Spectral Super-resolution from RGB Images by Enforcing the Metameric Constraint.T. Stiebel, P. Seltsam, and D. Merhof. VISIGRAPP (4: VISAPP), page 57-66. SCITEPRESS, (2020)Segmenting renal whole slide images virtually without training data.M. Gadermayr, D. Eschweiler, A. Jeevanesan, B. Klinkhammer, P. Boor, and D. Merhof. Comput. Biol. Medicine, (2017)A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data from the Osteoarthritis Initiative.J. Schock, M. Kopaczka, B. Agthe, J. Huang, P. Kruse, D. Truhn, S. Conrad, G. Antoch, C. Kuhl, S. Nebelung and 1 other author(s). ShapeMI@MICCAI, volume 12474 of Lecture Notes in Computer Science, page 85-94. Springer, (2020)

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Disambiguation of "Merhof, Dorit"

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Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods.

Please choose a person to relate this publication to

Dorit Merhof

Katrin Merhof

Mark Merhof

Peter Dorittke

Germut Merhof

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Merhof, Dorit"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods.

Please choose a person to relate this publication to

Dorit Merhof

Katrin Merhof

Mark Merhof

Peter Dorittke

Germut Merhof

Other publications of authors with the same name

Disambiguation

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

Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods.