المؤلفون: Karimi-Bidhendi, Saeed, Arafati, Arghavan, Cheng, Andrew L, Wu, Yilei, Kheradvar, Arash, Jafarkhani, Hamid

المصدر: Journal of Cardiovascular Magnetic Resonance. 22(1)

مصطلحات موضوعية: Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Pediatric, Cardiovascular, Biomedical Imaging, Heart Disease, Bioengineering, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Adolescent, Age Factors, Automation, Child, Child, Preschool, Deep Learning, Female, Heart Defects, Congenital, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Predictive Value of Tests, Reproducibility of Results, Workflow, Complex CHD analysis, CMR image analysis, Fully convolutional networks, Generative adversarial networks, Deep learning, Machine learning, Nuclear Medicine & Medical Imaging

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/37c2n7dnTest

المؤلفون: Saeed Karimi-Bidhendi, Arghavan Arafati, Andrew L. Cheng, Yilei Wu, Arash Kheradvar, Hamid Jafarkhani

المصدر: Journal of Cardiovascular Magnetic Resonance, Vol 22, Iss 1, Pp 1-24 (2020)

مصطلحات موضوعية: Complex CHD analysis, CMR image analysis, Fully convolutional networks, Generative adversarial networks, Deep learning, Machine learning, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1532-429XTest

الوصول الحر: https://doaj.org/article/565c24e4915349749ee38c8811371b35Test

المؤلفون: Wenjia Bai, Matthew Sinclair, Giacomo Tarroni, Ozan Oktay, Martin Rajchl, Ghislain Vaillant, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Filip Zemrak, Kenneth Fung, Jose Miguel Paiva, Valentina Carapella, Young Jin Kim, Hideaki Suzuki, Bernhard Kainz, Paul M. Matthews, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Ben Glocker, Daniel Rueckert

المصدر: Journal of Cardiovascular Magnetic Resonance, Vol 20, Iss 1, Pp 1-12 (2018)

مصطلحات موضوعية: CMR image analysis, Fully convolutional networks, Machine learning, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

العلاقة: http://link.springer.com/article/10.1186/s12968-018-0471-xTest; https://doaj.org/toc/1532-429XTest

الوصول الحر: https://doaj.org/article/d747f65dcc3043c6921822cc293970e3Test

المؤلفون: Bai, W, Sinclair, M, Tarroni, G, Oktay, O, Rajchl, M, Vaillant, G, Lee, AM, Aung, N, Lukaschuk, E, Sanghvi, MM, Zemrak, F, Fung, K, Paiva, JM, Carapella, V, Kim, YJ, Suzuki, H, Kainz, B, Matthews, PM, Petersen, SE, Piechnik, SK, Neubauer, S, Glocker, B, Rueckert, D

المساهمون: Engineering & Physical Science Research Council (E, Engineering & Physical Science Research Council (EPSRC), UK DRI Ltd, Medical Research Council (MRC), Imperial College London

المصدر: Journal of Cardiovascular Magnetic Resonance
Journal of Cardiovascular Magnetic Resonance, Vol 20, Iss 1, Pp 1-12 (2018)

مصطلحات موضوعية: FOS: Computer and information sciences, Male, lcsh:Diseases of the circulatory (Cardiovascular) system, LEFT-VENTRICLE, Cardiac & Cardiovascular Systems, Databases, Factual, Heart Diseases, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, SEGMENTATION, Magnetic Resonance Imaging, Cine, DIAGNOSIS, Ventricular Function, Left, Automation, Deep Learning, Predictive Value of Tests, Machine learning, Image Interpretation, Computer-Assisted, LEVEL SET, Humans, Fully convolutional networks, 1102 Cardiorespiratory Medicine and Haematology, cs.CV, 080104 Computer Vision, Aged, Observer Variation, Science & Technology, T1, Research, Radiology, Nuclear Medicine & Medical Imaging, Reproducibility of Results, Stroke Volume, Middle Aged, Myocardial Contraction, Nuclear Medicine & Medical Imaging, CMR image analysis, lcsh:RC666-701, Cardiovascular System & Cardiology, cardiovascular system, Ventricular Function, Right, HEART-FAILURE, Female, 08 Information and Computing Sciences, Neural Networks, Computer, Life Sciences & Biomedicine, RC

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fd4cfb2b7b1937a9433caf623bec496Test
http://europepmc.org/articles/PMC6138894Test