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    Wyświetlanie 1-9 z 9
    Tytuł:
    ANTsX neuroimaging-derived structural phenotypes of UK Biobank.
    Autorzy:
    Tustison NJ; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA. .; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA. .
    Yassa MA; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA.
    Rizvi B; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA.
    Cook PA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
    Holbrook AJ; Department of Biostatistics, University of California, Los Angeles, CA, USA.
    Sathishkumar MT; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA.
    Tustison MG; Santiago High School, Corona, CA, USA.
    Gee JC; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
    Stone JR; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA.
    Avants BB; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA.
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    Źródło:
    Scientific reports [Sci Rep] 2024 Apr 17; Vol. 14 (1), pp. 8848. Date of Electronic Publication: 2024 Apr 17.
    Typ publikacji:
    Journal Article
    MeSH Terms:
    UK Biobank*
    Biological Specimen Banks*
    Ecosystem ; Prospective Studies ; Neuroimaging/methods ; Phenotype ; Magnetic Resonance Imaging/methods ; Brain
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    An Anatomical Template for the Normalization of Medical Images of Adult Human Hands.
    Autorzy:
    Hegdé J; Department of Neuroscience and Regenerative Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
    Tustison NJ; Department of Radiology and Medical Imaging, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.
    Parker WT; Department of Radiology and Imaging, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
    Branch F; Department of Neuroscience and Regenerative Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
    Yanasak N; Department of Radiology and Imaging, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
    Stumpo LA; Department of Radiology and Imaging, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
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    Źródło:
    Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Jun 09; Vol. 13 (12). Date of Electronic Publication: 2023 Jun 09.
    Typ publikacji:
    Journal Article
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Negative overgeneralization is associated with anxiety and mechanisms of pattern completion in peripubertal youth.
    Autorzy:
    McMakin DL; Cognitive Neuroscience Program, Department of Psychology, Florida International University, Miami, FL 33199, USA.; Clinical Science Program, Department of Psychology, Florida International University, Miami, FL 33199, USA.; Center for Children and Families, Florida International University, Miami, FL 33199, USA.
    Kimbler A; Cognitive Neuroscience Program, Department of Psychology, Florida International University, Miami, FL 33199, USA.
    Tustison NJ; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22903, USA.
    Pettit JW; Clinical Science Program, Department of Psychology, Florida International University, Miami, FL 33199, USA.; Center for Children and Families, Florida International University, Miami, FL 33199, USA.
    Mattfeld AT; Cognitive Neuroscience Program, Department of Psychology, Florida International University, Miami, FL 33199, USA.; Center for Children and Families, Florida International University, Miami, FL 33199, USA.
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    Źródło:
    Social cognitive and affective neuroscience [Soc Cogn Affect Neurosci] 2022 Feb 15; Vol. 17 (2), pp. 231-240.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural
    MeSH Terms:
    Anxiety*
    Anxiety Disorders*
    Adolescent ; Amygdala/diagnostic imaging ; Humans ; Magnetic Resonance Imaging ; Memory/physiology ; Prefrontal Cortex/physiology
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    The ANTsX ecosystem for quantitative biological and medical imaging.
    Autorzy:
    Tustison NJ; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA. .; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA. .
    Cook PA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
    Holbrook AJ; Department of Biostatistics, University of California, Los Angeles, CA, USA.
    Johnson HJ; Department of Electrical and Computer Engineering, University of Iowa, Philadelphia, PA, USA.
    Muschelli J; School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
    Devenyi GA; Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
    Duda JT; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
    Das SR; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
    Cullen NC; Department of Clinical Sciences, Lund University, Lund, Scania, Sweden.
    Gillen DL; Department of Statistics, University of California, Irvine, CA, USA.
    Yassa MA; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA.
    Stone JR; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA.
    Gee JC; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
    Avants BB; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA.
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    Źródło:
    Scientific reports [Sci Rep] 2021 Apr 27; Vol. 11 (1), pp. 9068. Date of Electronic Publication: 2021 Apr 27.
    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:
    Algorithms*
    Ecosystem*
    Brain/*anatomy & histology
    Image Processing, Computer-Assisted/*methods
    Magnetic Resonance Imaging/*methods
    Neuroimaging/*methods
    Adult ; Aged ; Humans ; Male ; Middle Aged ; Software
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Structural neuroimaging in mild traumatic brain injury: A chronic effects of neurotrauma consortium study.
    Autorzy:
    Bigler ED; Psychology Department and Neuroscience Center, Brigham Young University, Provo, Utah.; Department of Neurology, University of Utah, Salt Lake City, Utah.
    Abildskov TJ; Psychology Department and Neuroscience Center, Brigham Young University, Provo, Utah.; Department of Neurology, University of Utah, Salt Lake City, Utah.
    Eggleston B; Biostatistics and Epidemiology, RTI International, Durham, North Carolina.
    Taylor BA; Biomedical Engineering, Virginia Commonwealth University, Richmond, Virginia.
    Tate DF; Missouri Institute of Mental Health, University of Missouri-St. Louis, St. Louis, Missouri.
    Petrie JA; Psychology Department and Neuroscience Center, Brigham Young University, Provo, Utah.; Department of Neurology, University of Utah, Salt Lake City, Utah.
    Newsome MR; Michael DeBakey VA Medical Center and Baylor College of Medicine, Houston, Texas.
    Scheibel RS; Michael DeBakey VA Medical Center and Baylor College of Medicine, Houston, Texas.
    Levin H; Michael DeBakey VA Medical Center and Baylor College of Medicine, Houston, Texas.
    Walker WC; Biomedical Engineering, Virginia Commonwealth University, Richmond, Virginia.
    Goodrich-Hunsaker N; Department of Neurology, University of Utah, Salt Lake City, Utah.; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia.
    Tustison NJ; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia.
    Stone JR; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia.
    Mayer AR; Neurology and Brain and Behavioral Health Institute, University of New Mexico, Albuquerque, New Mexico.
    Duncan TD; Medical Imaging and Radiology, VA Portland Health Care System, Portland, Oregon.
    York GE; Alaska Radiology Associates, TBI Imaging and Research, Anchorage, Alaska.
    Wilde EA; Michael DeBakey VA Medical Center and Baylor College of Medicine, Houston, Texas.; Department of Neurology, University of Utah, Salt Lake City, Utah.
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    Źródło:
    International journal of methods in psychiatric research [Int J Methods Psychiatr Res] 2019 Sep; Vol. 28 (3), pp. e1781. Date of Electronic Publication: 2019 May 23.
    Typ publikacji:
    Journal Article; Multicenter Study; Observational Study; Research Support, U.S. Gov't, Non-P.H.S.
    MeSH Terms:
    Neuroimaging*
    Brain/*diagnostic imaging
    Brain Concussion/*diagnostic imaging
    Adult ; Chronic Disease ; Cohort Studies ; Humans ; Magnetic Resonance Imaging ; Male ; Middle Aged
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Deep learning-based quantification of abdominal fat on magnetic resonance images.
    Autorzy:
    Grainger AT; Departments of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, Virginia, United States of America.
    Tustison NJ; Radiology & Medical Imaging, University of Virginia, Charlottesville, Virginia, United States of America.
    Qing K; Radiology & Medical Imaging, University of Virginia, Charlottesville, Virginia, United States of America.
    Roy R; Radiology & Medical Imaging, University of Virginia, Charlottesville, Virginia, United States of America.
    Berr SS; Radiology & Medical Imaging, University of Virginia, Charlottesville, Virginia, United States of America.
    Shi W; Departments of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, Virginia, United States of America.; Radiology & Medical Imaging, University of Virginia, Charlottesville, Virginia, United States of America.
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    Źródło:
    PloS one [PLoS One] 2018 Sep 20; Vol. 13 (9), pp. e0204071. Date of Electronic Publication: 2018 Sep 20 (Print Publication: 2018).
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Deep Learning*
    Magnetic Resonance Imaging*
    Abdominal Fat/*anatomy & histology
    Adipose Tissue/anatomy & histology ; Animals ; Apolipoproteins E/deficiency ; Automation ; Body Weight ; Diet, Western ; Female ; Intra-Abdominal Fat/anatomy & histology ; Male ; Mice, Inbred C3H ; Mice, Inbred C57BL ; Mice, Knockout ; Organ Specificity ; Phenotype ; Subcutaneous Fat/anatomy & histology
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
      Wyświetlanie 1-9 z 9

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