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Wyszukujesz frazę ""Rubin, Daniel"" wg kryterium: Autor

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    Wyświetlanie 1-17 z 17
    Tytuł:
    Revealing cancer subtypes with higher-order correlations applied to imaging and omics data.
    Autorzy:
    Graim K; Biomedical Engineering, University of California, Santa Cruz, USA.; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, USA.
    Liu TT; Stanford Center for Biomedical Informatics Research and Biomedical Informatics Training Program, Stanford University School of Medicine, Stanford, USA.; Stanford Institute for Neuro-Innovation and Translational Neurosciences, Stanford University School of Medicine, Stanford, USA.
    Achrol AS; Stanford Institute for Neuro-Innovation and Translational Neurosciences, Stanford University School of Medicine, Stanford, USA.; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, USA.; Departments of Neurosurgery, Stanford University School of Medicine, Stanford, USA.
    Paull EO; Biomedical Engineering, University of California, Santa Cruz, USA.; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, USA.
    Newton Y; Biomedical Engineering, University of California, Santa Cruz, USA.; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, USA.
    Chang SD; Departments of Neurosurgery, Stanford University School of Medicine, Stanford, USA.
    Harsh GR 4th; Departments of Neurosurgery, Stanford University School of Medicine, Stanford, USA.
    Cordero SP; Biomedical Engineering, University of California, Santa Cruz, USA.; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, USA.
    Rubin DL; Stanford Center for Biomedical Informatics Research and Biomedical Informatics Training Program, Stanford University School of Medicine, Stanford, USA.; Stanford Institute for Neuro-Innovation and Translational Neurosciences, Stanford University School of Medicine, Stanford, USA.
    Stuart JM; Biomedical Engineering, University of California, Santa Cruz, USA. .; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, USA. .
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    Źródło:
    BMC medical genomics [BMC Med Genomics] 2017 Mar 31; Vol. 10 (1), pp. 20. Date of Electronic Publication: 2017 Mar 31.
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural
    MeSH Terms:
    Magnetic Resonance Imaging*
    Computational Biology/*methods
    Glioblastoma/*diagnostic imaging
    Glioblastoma/*genetics
    DNA Copy Number Variations ; Genotype ; Glioblastoma/pathology ; Humans ; Mutation ; Phenotype
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group project.
    Autorzy:
    Colen RR; Department of Diagnostic Radiology, M, D, Anderson Cancer Center, 1400 Pressler St; Unit 1482, Rm # FCT 16,5037, Houston, TX 77030, USA. .
    Vangel M
    Wang J
    Gutman DA
    Hwang SN
    Wintermark M
    Jain R
    Jilwan-Nicolas M
    Chen JY
    Raghavan P
    Holder CA
    Rubin D
    Huang E
    Kirby J
    Freymann J
    Jaffe CC
    Flanders A
    Zinn PO
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    Corporate Authors:
    TCGA Glioma Phenotype Research Group
    Źródło:
    BMC medical genomics [BMC Med Genomics] 2014 Jun 02; Vol. 7, pp. 30. Date of Electronic Publication: 2014 Jun 02.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Magnetic Resonance Imaging*
    Brain Neoplasms/*genetics
    Brain Neoplasms/*metabolism
    Genome, Human/*genetics
    Glioma/*genetics
    Glioma/*metabolism
    Adolescent ; Adult ; Aged ; Aged, 80 and over ; Brain Neoplasms/pathology ; Ependyma/pathology ; Female ; Glioma/pathology ; Humans ; Kaplan-Meier Estimate ; Male ; Middle Aged ; Mitochondria/genetics ; Models, Biological ; Phenotype ; Proportional Hazards Models ; Signal Transduction/genetics ; Transcription Factors/metabolism ; Treatment Outcome ; Young Adult
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    A robust classifier to distinguish noise from fMRI independent components.
    Autorzy:
    Sochat V; Stanford Graduate Fellow, Graduate Program in Biomedical Informatics, Stanford University School of Medicine, Stanford, California, United States of America.
    Supekar K; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California, United States of America.
    Bustillo J; The Mind Research Network, Albuquerque, New Mexico, United States of America; Department of Psychiatry, University of New Mexico, Albuquerque, New Mexico, United States of America.
    Calhoun V; The Mind Research Network, Albuquerque, New Mexico, United States of America.
    Turner JA; The Mind Research Network, Albuquerque, New Mexico, United States of America; Georgia State University, Department of Psychology and Neuroscience Institute, Atlanta, Georgia, United States of America.
    Rubin DL; Department of Radiology, Stanford University School of Medicine, Stanford, California, United States of America.
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    Źródło:
    PloS one [PLoS One] 2014 Apr 18; Vol. 9 (4), pp. e95493. Date of Electronic Publication: 2014 Apr 18 (Print Publication: 2014).
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
    MeSH Terms:
    Brain Mapping*
    Magnetic Resonance Imaging*/methods
    Magnetic Resonance Imaging*/standards
    Brain/*physiology
    Algorithms ; Datasets as Topic ; Humans ; Image Processing, Computer-Assisted/methods ; Principal Component Analysis ; ROC Curve ; Regression Analysis ; Reproducibility of Results
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Network analysis of intrinsic functional brain connectivity in Alzheimer's disease.
    Autorzy:
    Supekar K; Graduate Program in Biomedical Informatics, Stanford University School of Medicine, Stanford, California, USA.
    Menon V
    Rubin D
    Musen M
    Greicius MD
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    Źródło:
    PLoS computational biology [PLoS Comput Biol] 2008 Jun 27; Vol. 4 (6), pp. e1000100. Date of Electronic Publication: 2008 Jun 27.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Brain Mapping*
    Magnetic Resonance Imaging*
    Models, Neurological*
    Alzheimer Disease/*physiopathology
    Brain/*physiopathology
    Nerve Net/*physiopathology
    Neural Pathways/*physiopathology
    Adult ; Aged ; Computer Simulation ; Female ; Humans ; Male ; Middle Aged
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data.
    Autorzy:
    Ottesen, Jon André
    Yi, Darvin
    Tong, Elizabeth
    Iv, Michael
    Latysheva, Anna
    Saxhaug, Cathrine
    Jacobsen, Kari Dolven
    Helland, Åslaug
    Emblem, Kyrre Eeg
    Rubin, Daniel L.
    Bjørnerud, Atle
    Zaharchuk, Greg
    Grøvik, Endre
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    Temat:
    DEEP learning
    CONVOLUTIONAL neural networks
    MAGNETIC resonance imaging
    Źródło:
    Frontiers in Neuroinformatics; 1/18/2023, Vol. 16, p1-12, 12p
    Czasopismo naukowe
    Szczegóły
    Tytuł:
    Erratum: "MRI pulse sequence integration for deep‐learning‐based brain metastases segmentation".
    Autorzy:
    Yi, Darvin
    Grøvik, Endre
    Tong, Elizabeth
    Iv, Michael
    Emblem, Kyrre Eeg
    Nilsen, Line Brennhaug
    Saxhaug, Cathrine
    Latysheva, Anna
    Jacobsen, Kari Dolven
    Helland, Åslaug
    Zaharchuk, Greg
    Rubin, Daniel
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    Temat:
    MAGNETIC resonance imaging
    CONFLICT of interests
    Źródło:
    Medical Physics; Aug2023, Vol. 50 Issue 8, p5294-5294, 1p
    Czasopismo naukowe
    Szczegóły
    Tytuł:
    Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm.
    Autorzy:
    Bozkurt, Selen
    Alkim, Emel
    Banerjee, Imon
    Rubin, Daniel L.
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    Temat:
    ALGORITHMS
    AUTOMATION
    MAMMOGRAMS
    COMPUTED tomography
    COMPUTER-aided design
    MAGNETIC resonance imaging
    NATURAL language processing
    RADIOGRAPHY
    REPORT writing
    TUMORS
    PROFESSIONAL practice
    SOFTWARE architecture
    DESCRIPTIVE statistics
    Źródło:
    Journal of Digital Imaging; Aug2019, Vol. 32 Issue 4, p544-553, 10p, 3 Diagrams, 2 Charts, 1 Graph
    Czasopismo naukowe
    Szczegóły
    Tytuł:
    Association of Tumor [F]FDG Activity and Diffusion Restriction with Clinical Outcomes of Rhabdomyosarcomas.
    Autorzy:
    Pourmehdi Lahiji, Arian
    Jackson, Tatianie
    Nejadnik, Hossein
    von Eyben, Rie
    Rubin, Daniel
    Spunt, Sheri L.
    Quon, Andrew
    Daldrup-Link, Heike
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    Temat:
    POSITRON emission tomography
    DIFFUSION
    DIAGNOSTIC imaging
    MAGNETIC resonance imaging
    STATISTICAL hypothesis testing
    Źródło:
    Molecular Imaging & Biology; Jun2019, Vol. 21 Issue 3, p591-598, 8p
    Czasopismo naukowe
    Szczegóły
    Tytuł:
    Revealing cancer subtypes with higher-order correlations applied to imaging and omics data.
    Autorzy:
    Kiley, Kiley
    Tiffany Ting Liu
    Achrol, Achal S.
    Paull, Evan O.
    Newton, Yulia
    Chang, Steven D.
    Harsh IV, Griffith R.
    Cordero, Sergio P.
    Rubin, Daniel L.
    Stuart, Joshua M.
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    Temat:
    TUMOR classification
    CANCER patients
    GENETIC mutation
    BREAST cancer
    OVARIAN cancer
    MAGNETIC resonance imaging
    Źródło:
    BMC Medical Genomics; 3/31/2017, Vol. 10, p1-14, 14p
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Semiautomatic segmentation and follow-up of multicomponent low-grade tumors in longitudinal brain MRI studies.
    Autorzy:
    Weizman, Lior
    Sira, Liat Ben
    Joskowicz, Leo
    Rubin, Daniel L.
    Yeom, Kristen W.
    Constantini, Shlomi
    Shofty, Ben
    Bashat, Dafna Ben
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    Temat:
    MAGNETIC resonance imaging of the brain
    BRAIN cancer patients
    FOLLOW-up studies (Medicine)
    LONGITUDINAL method
    CANCER invasiveness
    TUMOR growth
    PARAMETER estimation
    Źródło:
    Medical Physics; May2014, Vol. 41 Issue 5, p1-N.PAG, 14p
    Czasopismo naukowe
    Szczegóły
    Tytuł:
    Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer.
    Autorzy:
    Wu, Jia
    Li, Xuejie
    Teng, Xiaodong
    Rubin, Daniel L.
    Napel, Sandy
    Daniel, Bruce L.
    Li, Ruijiang
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    Temat:
    LYMPHOCYTES
    BREAST cancer
    MAGNETIC resonance imaging
    MOLECULAR structure of cellular membranes
    BIOMARKERS
    Źródło:
    Breast Cancer Research; 9/3/2018, Vol. 20 Issue 1, pN.PAG-N.PAG, 1p, 1 Color Photograph, 1 Diagram, 4 Charts, 6 Graphs
    Czasopismo naukowe
    Szczegóły
      Wyświetlanie 1-17 z 17

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