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المؤلفون: van Zon, Mike, Veta, Mitko, Li, Shuo, Landman, Bennett A., Angelini, Elsa D.
المساهمون: Medical Image Analysis
المصدر: Medical Imaging 2019: Image Processing
Medical Imaging 2019
Medical Imaging: Image Processingمصطلحات موضوعية: Landmark, Computer science, business.industry, Deep learning, Recurrent Neural Network, Pattern recognition, Convolutional Neural Network, Convolutional neural network, Image (mathematics), Recurrent neural network, Deep Learning, Feature (computer vision), Artificial intelligence, Cardiac Imaging, Representation (mathematics), business, Cardiac imaging
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b150235c21e68d15db8e791d1d638b29
https://doi.org/10.1117/12.2512048 -
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المؤلفون: Ethan K. Murphy, Ryan J. Halter, Saaid H. Arshad
المصدر: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
مصطلحات موضوعية: education.field_of_study, Cardiac cycle, Computer science, business.industry, Population, Feature extraction, Image processing, Pattern recognition, Feature (computer vision), Segmentation, Artificial intelligence, education, business, Electrical impedance tomography, Cardiac imaging
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::81e36e922833a3d937ad7bdab733ed49
https://doi.org/10.1117/12.2293917 -
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المؤلفون: Baowei Fei, Rong Jiang, Mary B. Wagner, Ming Shen, James D. Dormer, Rongrong Guo
المصدر: Medical Imaging 2018: Ultrasonic Imaging and Tomography.
مصطلحات موضوعية: Artificial neural network, business.industry, Computer science, Deep learning, Ultrasound, Image segmentation, Convolutional neural network, Article, medicine.anatomical_structure, Ventricle, medicine, Segmentation, Artificial intelligence, business, Cardiac imaging, Biomedical engineering
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f65875b2c5553d1ece930a6fa59238ab
https://doi.org/10.1117/12.2293558 -
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المؤلفون: Alexander Sasov, Xuan Liu, Phil Salmon, Kjell Laperre
المصدر: Developments in X-Ray Tomography XI.
مصطلحات موضوعية: Computer science, Region of interest, business.industry, Breathing, Comparison study, Computer vision, Gating, Artificial intelligence, business, Signal, Retrospective gating, Cardiac imaging, Intensity (physics)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7ec6c012a938674c210471d6aca6b08a
https://doi.org/10.1117/12.2275609 -
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المؤلفون: Xuguang Sun, Guang-Hong Chen, Jiang Hsieh, Yinsheng Li, Ximiao Cao, Zhanfeng Xing
المصدر: Medical Imaging 2017: Physics of Medical Imaging.
مصطلحات موضوعية: medicine.diagnostic_test, business.industry, Image quality, Computer science, Coronary ct angiography, Data acquisition, Motion artifacts, Temporal resolution, Angiography, medicine, Computer vision, Artificial intelligence, business, Cardiac imaging
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::112ae326991bbce1c2657b02d2720b06
https://doi.org/10.1117/12.2254644 -
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المؤلفون: João L. Vilaça, Sandro Queirós, Mark J. Monaghan, Daniel Barbosa, Nuno Rodrigues, Pedro Morais, Jan D'hooge, Maria J. Baptista
المصدر: Medical Imaging: Image Processing
مصطلحات موضوعية: medicine.diagnostic_test, business.industry, Computer science, Ultrasound, Magnetic resonance imaging, Image segmentation, Robustness (computer science), medicine, Fluoroscopy, Segmentation, Computer vision, Artificial intelligence, business, Cardiac imaging, 4d ultrasound
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::64e0fc7b70102d18684a2384c48a33b1
https://doi.org/10.1117/12.2081813 -
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المؤلفون: Jie Tian, Alicia Arranz, Di Dong, Jorge Ripoll, Yujie Yang, Jun Wang, Liangliang Shi
المصدر: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
مصطلحات موضوعية: Pixel, Image quality, business.industry, Computer science, Ring Artifact, Image segmentation, Optical projection tomography, law.invention, Lens (optics), Noise, law, Segmentation, Computer vision, Tomography, Artificial intelligence, business, Cardiac imaging
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::555ed97a10fa8379b0dbc7b12dacd972
https://doi.org/10.1117/12.2081584 -
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المؤلفون: Yahong Rosa Zheng, Lixin Ma, Ming Yang, Elliot Tan
المصدر: Medical Imaging: Image Processing
مصطلحات موضوعية: medicine.diagnostic_test, business.industry, Computer science, Gaussian, Cauchy distribution, Inverse transform sampling, Magnetic resonance imaging, Iterative reconstruction, Imaging phantom, symbols.namesake, Compressed sensing, Undersampling, medicine, symbols, Computer vision, Artificial intelligence, business, Cardiac imaging, Image restoration
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::14484f0d5b148de6c0c1a86fb13fed1b
https://doi.org/10.1117/12.2043968 -
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المؤلفون: Thomas Flohr, S. Kappler, H. Bruder, Johan Sunnegardh, Karl Stierstorfer, Rainer Raupach, Thomas Allmendinger
المصدر: SPIE Proceedings.
مصطلحات موضوعية: medicine.medical_specialty, medicine.diagnostic_test, Computer science, business.industry, Contrast resolution, Computed tomography, Iterative reconstruction, Radiation, Composite image filter, Photon counting, Spectral imaging, Imaging spectroscopy, Temporal resolution, medicine, Computer vision, Body region, Artificial intelligence, business, Image resolution, Cardiac imaging
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::da14a6487a0ebea06cf6a2385dbc4b85
https://doi.org/10.1117/12.2042985 -
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المؤلفون: Paul Kishbom, Mary B. Wagner, Baowei Fei, Ming Shen, Rong Jiang, Zhibin Cong, Xulei Qin
المصدر: SPIE Proceedings.
مصطلحات موضوعية: Materials science, Anisotropic diffusion, business.industry, Orientation (computer vision), Noise reduction, Ultrasound, Cardiac myofiber, Article, Hough transform, law.invention, law, Canny edge detector, Computer vision, Artificial intelligence, business, Cardiac imaging
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e10c17515b5b9b5d829d1f6395bcb305
https://doi.org/10.1117/12.2006494