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The importance of appropriate partial volume correction for PET quantification in Alzheimer’s disease

European journal of nuclear medicine and molecular imaging, 2011-06, Vol.38 (6), p.1104-1119

2011

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Fast and robust multi-atlas segmentation of brain magnetic resonance images

NeuroImage (Orlando, Fla.), 2010-02, Vol.49 (3), p.2352-2365

2010

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Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease

NeuroImage (Orlando, Fla.), 2011-05, Vol.56 (1), p.185-196

2011

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The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data

Alzheimer's & dementia, 2015-09, Vol.11 (9), p.1050-1068

2015

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Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for 18F-Flutemetamol PET Using Variable Depth

The Journal of nuclear medicine (1978), 2016-07, Vol.57 (7), p.1078-1083

2016

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Precision medicine in neurodegeneration: the IHI-PROMINENT project

Frontiers in neurology, 2023-08, Vol.14, p.1175922-1175922

2023

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Combination of Biomarkers: PET [18F]Flutemetamol Imaging and Structural MRI in Dementia and Mild Cognitive Impairment

Neuro-degenerative diseases, 2012-01, Vol.10 (1-4), p.246-249

2012

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Implementation and validation of an adaptive template registration method for 18F-flutemetamol imaging data

The Journal of nuclear medicine (1978), 2013-08, Vol.54 (8), p.1472-1478

2013

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Blood protein predictors of brain amyloid for enrichment in clinical trials?

Alzheimer's & dementia : diagnosis, assessment & disease monitoring, 2015-03, Vol.1 (1), p.48-60

2015

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The PredictAD project: development of novel biomarkers and analysis software for early diagnosis of the Alzheimer's disease

Interface focus, 2013-04, Vol.3 (2), p.20120072-20120072

2013

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Image registration: an essential tool for nuclear medicine

European journal of nuclear medicine, 2002-04, Vol.29 (4), p.559-577

2002

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Automated Quantification of F-18-Flutemetamol PET Activity for Categorizing Scans as Negative or Positive for Brain Amyloid: Concordance with Visual Image Reads

The Journal of nuclear medicine (1978), 2014-10, Vol.55 (10), p.1623

2014

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F-18-Flutemetamol Amyloid Imaging in Alzheimer Disease and Mild Cognitive Impairment A Phase 2 Trial

Annals of neurology, 2010-09, Vol.68 (3), p.319

2010

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Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease

NeuroImage (Orlando, Fla.), 2011-06, Vol.56 (3), p.1134-1144

2011

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Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for 18 F-Flutemetamol PET Using Variable Depth

Journal of Nuclear Medicine, 2016-07, Vol.57 (7), p.1078-1083

2016

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Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for super( 18)F-Flutemetamol PET Using Variable Depth

The Journal of nuclear medicine (1978), 2016-07, Vol.57 (7), p.1078-1078

2016

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Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for ^sup 18^F-Flutemetamol PET Using Variable Depth

The Journal of nuclear medicine (1978), 2016-07, Vol.57 (7), p.1078

2016

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18F-flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: A phase 2 trial

Annals of neurology, 2010-09, Vol.68 (3), p.319-329

2010

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Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for F-18-Flutemetamol PET Using Variable Depth

The Journal of nuclear medicine (1978), 2016, Vol.57 (7), p.1078

2016

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Validation of fully automatic brain SPET to MR co-registration

European journal of nuclear medicine, 2000-02, Vol.27 (2), p.147-154

2000

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Automated quantification of 18F-flutemetamol PET activity for categorizing scans as negative or positive for brain amyloid: concordance with visual image reads

The Journal of nuclear medicine (1978), 2014-10, Vol.55 (10), p.1623-1628

2014

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Automated Quantification of 18 F-Flutemetamol PET Activity for Categorizing Scans as Negative or Positive for Brain Amyloid: Concordance with Visual Image Reads

Journal of Nuclear Medicine, 2014-10, Vol.55 (10), p.1623-1628

2014

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Automated Quantification of super(18)F-Flutemetamol PET Activity for Categorizing Scans as Negative or Positive for Brain Amyloid: Concordance with Visual Image Reads

The Journal of nuclear medicine (1978), 2014-10, Vol.55 (10), p.1623-1623

2014

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Automated Quantification of ^sup 18^F-Flutemetamol PET Activity for Categorizing Scans as Negative or Positive for Brain Amyloid: Concordance with Visual Image Reads

The Journal of nuclear medicine (1978), 2014-10, Vol.55 (10), p.1623

2014

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Mechanism of amyloid removal in patients with Alzheimer disease treated with gantenerumab

Archives of neurology (Chicago), 2012-02, Vol.69 (2), p.198

2012

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The importance of appropriate partial volume correction for PET quantification in Alzheimer’s disease

Fast and robust multi-atlas segmentation of brain magnetic resonance images

Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease

The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data

Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for 18F-Flutemetamol PET Using Variable Depth

Precision medicine in neurodegeneration: the IHI-PROMINENT project

Combination of Biomarkers: PET [18F]Flutemetamol Imaging and Structural MRI in Dementia and Mild Cognitive Impairment

Implementation and validation of an adaptive template registration method for 18F-flutemetamol imaging data

Blood protein predictors of brain amyloid for enrichment in clinical trials?

The PredictAD project: development of novel biomarkers and analysis software for early diagnosis of the Alzheimer's disease

Image registration: an essential tool for nuclear medicine

Automated Quantification of F-18-Flutemetamol PET Activity for Categorizing Scans as Negative or Positive for Brain Amyloid: Concordance with Visual Image Reads

F-18-Flutemetamol Amyloid Imaging in Alzheimer Disease and Mild Cognitive Impairment A Phase 2 Trial

Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease

Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for 18 F-Flutemetamol PET Using Variable Depth

Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for super( 18)F-Flutemetamol PET Using Variable Depth

Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for ^sup 18^F-Flutemetamol PET Using Variable Depth

18F-flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: A phase 2 trial

Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for F-18-Flutemetamol PET Using Variable Depth

Validation of fully automatic brain SPET to MR co-registration

Automated quantification of 18F-flutemetamol PET activity for categorizing scans as negative or positive for brain amyloid: concordance with visual image reads

Automated Quantification of 18 F-Flutemetamol PET Activity for Categorizing Scans as Negative or Positive for Brain Amyloid: Concordance with Visual Image Reads

Automated Quantification of super(18)F-Flutemetamol PET Activity for Categorizing Scans as Negative or Positive for Brain Amyloid: Concordance with Visual Image Reads

Automated Quantification of ^sup 18^F-Flutemetamol PET Activity for Categorizing Scans as Negative or Positive for Brain Amyloid: Concordance with Visual Image Reads

Mechanism of amyloid removal in patients with Alzheimer disease treated with gantenerumab

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