يعرض 1 - 10 نتائج من 560 نتيجة بحث عن '"N. Firmin"', وقت الاستعلام: 0.91s تنقيح النتائج
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    المساهمون: British Heart Foundation, European Research Council Horizon 2020, Commission of the European Communities, Innovative Medicines Initiative, Medical Research Council (MRC)

    المصدر: IEEE Transactions on Medical Imaging. 41:420-433

    مصطلحات موضوعية: FOS: Computer and information sciences, Technology, Computer Science - Machine Learning, Generative adversarial networks, Computer science, Computer Vision and Pattern Recognition (cs.CV), cs.LG, Computer Science - Computer Vision and Pattern Recognition, Contrast Media, Inference, Gadolinium, 02 engineering and technology, 01 natural sciences, 09 Engineering, Machine Learning (cs.LG), Predictive models, Engineering, cross-domain study, 0202 electrical engineering, electronic engineering, information engineering, Segmentation, ADAPTATION, cs.CV, Image segmentation, Radiological and Ultrasound Technology, Data domain, Radiology, Nuclear Medicine & Medical Imaging, LATE GADOLINIUM ENHANCEMENT, Image and Video Processing (eess.IV), Data models, Computer Science Applications, Nuclear Medicine & Medical Imaging, Computer Science, Interdisciplinary Applications, FIBRILLATION, Supervised Machine Learning, Life Sciences & Biomedicine, MEDICAL IMAGE SEGMENTATION, Domain (software engineering), Consistency (database systems), Deep Learning, bidirectional adversarial inference, Robustness (computer science), FOS: Electrical engineering, electronic engineering, information engineering, Heart Atria, Electrical and Electronic Engineering, Imaging Science & Photographic Technology, hierarchical dual consistency, Engineering, Biomedical, Science & Technology, business.industry, 010401 analytical chemistry, Adaptation models, Engineering, Electrical & Electronic, 020206 networking & telecommunications, Pattern recognition, Electrical Engineering and Systems Science - Image and Video Processing, DUAL (cognitive architecture), Generators, 0104 chemical sciences, Constraint (information theory), WHOLE HEART SEGMENTATION, Computer Science, Semi-supervised learning, eess.IV, Semisupervised learning, 08 Information and Computing Sciences, Artificial intelligence, business, Software

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    المصدر: Scott, A D, Bruno, V D, Doorly, D J, Pennell, D J, Ascione, R, de Silva, R, Firmin, D N, Rose, J N, Sarathchandra, P, McCarthy, K P, Roehl, M, Nialles-Vallespin, S, Ferreira, P F, Chowdhury, R A, Begum, L, Pardoe, B, Gorodezky, M, Khalique, Z & Jackson, T 2022, ' Development of a cardiovascular magnetic resonance-compatible large animal isolated heart model for direct comparison of beating and arrested hearts ', NMR in Biomedicine, vol. 35, no. 7, e4692 . https://doi.org/10.1002/nbm.4692

    وصف الملف: application/pdf