نتائج البحث - "Department of Quantitative Biomedicine"

المصدر: Golbabaee, M, Buonincontri, G, Pirkl, C, menzel, M, Menze, B, Davies, M E & Gomez, P 2021, ' Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks ', Medical Image Analysis, vol. 69, pp. 101945 . https://doi.org/10.1016/j.media.2020.101945Test

مصطلحات موضوعية: residual network, 1707 Computer Vision and Pattern Recognition, Computer science, Computer Graphics and Computer, Pipeline (computing), Inference, 610 Medicine & health, Health Informatics, 1704 Computer Graphics and Computer-Aided Design, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Aliasing, Prior probability, 2741 Radiology, Nuclear Medicine and Imaging, Radiology, Nuclear Medicine and imaging, Aided Design, 3614 Radiological and Ultrasound Technology, 2718 Health Informatics, Radiological and Ultrasound Technology, Regular polygon, Data Compression, Magnetic Resonance Imaging, Computer Graphics and Computer-Aided Design, Manifold, Encoder-decoder network, Compressed sensing, Radiology Nuclear Medicine and imaging, Bloch equations, magnetic resonance fingerprinting, Computer Vision and Pattern Recognition, Artifacts, Convex model-based reconstruction, 11493 Department of Quantitative Biomedicine, Algorithm, Algorithms, 030217 neurology & neurosurgery

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65c13fc573629d1a2c241a331a4b46dfTest
https://doi.org/10.1016/j.media.2020.101945Test

7

Analyzing magnetic resonance imaging data from glioma patients using deep learning

المؤلفون: Spyridon Bakas, Roland Wiest, Bjoern H. Menze, Benedikt Wiestler, Klaus H. Maier-Hein, Mauricio Reyes, Fabian Isensee

المساهمون: University of Zurich, Menze, Bjoern

المصدر: Comput Med Imaging Graph

مصطلحات موضوعية: 1707 Computer Vision and Pattern Recognition, Computer science, Computer Graphics and Computer, computer.software_genre, Health informatics, 030218 nuclear medicine & medical imaging, 0302 clinical medicine, Image Processing, Computer-Assisted, 610 Medicine & health, 2718 Health Informatics, Radiological and Ultrasound Technology, medicine.diagnostic_test, Brain Neoplasms, Glioma, Magnetic Resonance Imaging, Computer Graphics and Computer-Aided Design, Radiology Nuclear Medicine and imaging, Computer Vision and Pattern Recognition, Algorithms, Brain tumor, Health Informatics, Context (language use), Machine learning, 1704 Computer Graphics and Computer-Aided Design, Article, 03 medical and health sciences, Deep Learning, medicine, Humans, 2741 Radiology, Nuclear Medicine and Imaging, Radiology, Nuclear Medicine and imaging, Aided Design, 000 Computer science, knowledge & systems, 3614 Radiological and Ultrasound Technology, business.industry, Deep learning, Image Quantification, Magnetic resonance imaging, Image segmentation, medicine.disease, ComputingMethodologies_PATTERNRECOGNITION, 570 Life sciences, biology, Neural Networks, Computer, Artificial intelligence, business, 11493 Department of Quantitative Biomedicine, computer, 030217 neurology & neurosurgery

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b07c67560dce7af296f478e0685c0735Test
https://doi.org/10.1016/j.compmedimag.2020.101828Test

8

Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis

المؤلفون: Damien Arnol, Bernd Bodenmiller, Denis Schapiro, Julio Saez-Rodriguez, Oliver Stegle

المساهمون: University of Zurich, Saez-Rodriguez, Julio

المصدر: Cell reports 29(1), 202-211.e6 (2019). doi:10.1016/j.celrep.2019.08.077
Cell Reports, Vol 29, Iss 1, Pp 202-211.e6 (2019)
Cell Reports
Cell Reports, 29 (1)

مصطلحات موضوعية: 0301 basic medicine, Multiplexed imaging, Computer science, Gene Expression, Breast Neoplasms, 610 Medicine & health, Genetics and Molecular Biology, Cell Communication, Computational biology, Spatial variance, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, Component analysis, 1300 General Biochemistry, Genetics and Molecular Biology, Humans, Mass cytometry, Random effect model, lcsh:QH301-705.5, Spatial analysis, Gaussian Process, Analysis of Variance, Spatial structure, Gene Expression Profiling, Spatially resolved, Protein Expression Profiling, 030104 developmental biology, lcsh:Biology (General), General Biochemistry, RNA, Female, Spatial variability, 11493 Department of Quantitative Biomedicine, Software, 030217 neurology & neurosurgery

وصف الملف: Modeling_Cell-Cell_Interactions_from_Spatial_Molecular_Data_with_Spatial_Variance_Component_Analysis.pdf - application/pdf; application/application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33adda09e80df1ab98599b79b20679e9Test
https://doi.org/10.1016/j.celrep.2019.08.077Test

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