Fourier decomposition free-breathing 1H MRI perfusion maps in asthma (Englisch)
- Neue Suche nach: Matheson, Alexander M.
- Neue Suche nach: Capaldi, Dante P. I.
- Neue Suche nach: Guo, Fumin
- Neue Suche nach: Eddy, Rachel L.
- Neue Suche nach: McCormack, David G.
- Neue Suche nach: Parraga, Grace
- Neue Suche nach: Matheson, Alexander M.
- Neue Suche nach: Capaldi, Dante P. I.
- Neue Suche nach: Guo, Fumin
- Neue Suche nach: Eddy, Rachel L.
- Neue Suche nach: McCormack, David G.
- Neue Suche nach: Parraga, Grace
In:
Medical Imaging 2019: Image Processing
;
1094912-1094912-9
;
2019
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ISBN:
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ISSN:
- Aufsatz (Konferenz) / Print
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Titel:Fourier decomposition free-breathing 1H MRI perfusion maps in asthma
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Beteiligte:Matheson, Alexander M. ( Autor:in ) / Capaldi, Dante P. I. ( Autor:in ) / Guo, Fumin ( Autor:in ) / Eddy, Rachel L. ( Autor:in ) / McCormack, David G. ( Autor:in ) / Parraga, Grace ( Autor:in )
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Kongress:Medical Imaging 2019: Image Processing
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Erschienen in:Medical Imaging 2019: Image Processing ; 1094912-1094912-9Proceedings of SPIE, the International Society for Optical Engineering ; 10949 ; 1094912-1094912-9
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Verlag:
- Neue Suche nach: SPIE
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Erscheinungsdatum:01.01.2019
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Format / Umfang:1 pages
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ISBN:
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ISSN:
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Medientyp:Aufsatz (Konferenz)
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Format:Print
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Sprache:Englisch
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Datenquelle:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Inhaltsverzeichnis Konferenzband
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Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networksVigueras-Guillén, Juan P. / Lemij, Hans G. / van Rooij, Jeroen / Vermeer, Koenraad A. / van Vliet, Lucas J. et al. | 2019
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Pulmonary lobar segmentation from computed tomography scans based on a statistical finite element analysis of lobe shapeZhang, Yuwen / Osanlouy, Mahyar / Clark, Alys R. / Kumar, Hari / King, Clair / Wilsher, Margaret L. / Milne, David G. / Hoffman, Eric A. / Tawhai, Merryn H. et al. | 2019
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Fully automated detection and quantification of multiple retinal lesions in OCT volumes based on deep learning and improved DRLSEGuan, Liling / Yu, Kai / Chen, Xinjian et al. | 2019
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Is hippocampus getting bumpier with age: a quantitative analysis of fine-scale dentational feature under the hippocampus on 552 healthy subjectsCai, Shuxiu / Yu, Xiaxia / Zhang, Qiaochu / Huang, Chuan / Gao, Yi et al. | 2019
- 1094936
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Local and global transformations to improve learning of medical images applied to chest radiographsM. S., Vidya / V., Manikanda Krishnan / G., Anirudh / Kundeti, Srinivasa Rao / J., Vijayananda et al. | 2019
- 1094937
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Region-guided adversarial learning for anatomical landmark detection in uterus ultrasound imageLee, Hongjoo / Kim, Hak Gu / Park, Hyenok / Shin, Dongkuk / Ro, Yong Man et al. | 2019
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The impact of MRI-CT registration errors on deep learning-based synthetic CT generationFlorkow, Mateusz C. / Zijlstra, Frank / Kerkmeijer, Linda G. W. / Maspero, Matteo / van den Berg, Cornelis A. T. / van Stralen, Marijn / Seevinck, Peter R. et al. | 2019
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Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery imagesPirpinia, Kleopatra / Bosman, Peter A. N. / Sonke, Jan-Jakob / van Herk, Marcel / Alderliesten, Tanja et al. | 2019