Deep learning-based amyloid PET positivity classification model in the Alzheimer’s disease continuum by using 2-[18F]FDG PET

Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT

(2020) Xikai Tang et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Selection of the optimal intensity normalization region for FDG-PET studies of normal aging and Alzheimer’s disease

(2020) Scott Nugent et al.   Scientific Reports

Detection of gray matter microstructural changes in Alzheimer’s disease continuum using fiber orientation

(2020) Peter Lee et al.   BMC Neurology

FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

(2020) Leonie Henschel et al.   NEUROIMAGE

Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI

(2020) Coen de Vente et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Predicting Alzheimer’s disease progression using multi-modal deep learning approach

(2019) Garam Lee et al.   Scientific Reports

Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline

(2019) Ziqi Tang et al.   Nature Communications

Deep-learning-based imaging-classification identified cingulate island sign in dementia with Lewy bodies

(2019) Tomomichi Iizuka et al.   Scientific Reports

Prediction of amyloid pathology in cognitively unimpaired individuals using voxel-wise analysis of longitudinal structural brain MRI

(2019) Paula M. Petrone et al.   Alzheimers Research & Therapy

NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease

(2018) Clifford R. Jack et al.   Alzheimers & Dementia

Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer's disease: a longitudinal study

(2018) Brian A Gordon et al.   LANCET NEUROLOGY

An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network

(2018) Hongyang Jiang et al.   IEEE Journal of Biomedical and Health Informatics

MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study

(2018) Mara ten Kate et al.   Alzheimers Research & Therapy

A Nomogram for Predicting Amyloid PET Positivity in Amnestic Mild Cognitive Impairment

(2018) Si Eun Kim et al.   JOURNAL OF ALZHEIMERS DISEASE

An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets

(2018) Hyunkwang Lee et al.   Nature Biomedical Engineering

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain

(2018) Yiming Ding et al.   RADIOLOGY

Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease: Methodology and Baseline Sample Characteristics

(2017) Min Soo Byun et al.   Psychiatry Investigation

Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis

(2017) Hannelore K. van der Burgh et al.   NeuroImage-Clinical

Amyloid negativity in patients with clinically diagnosed Alzheimer disease and MCI

(2016) Susan M. Landau et al.   NEUROLOGY

A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers

(2016) Clifford R. Jack et al.   NEUROLOGY

Florbetaben PET imaging to detect amyloid beta plaques in Alzheimer's disease: Phase 3 study

(2015) Osama Sabri et al.   Alzheimers & Dementia

Prevalence of Amyloid PET Positivity in Dementia Syndromes

(2015) Rik Ossenkoppele et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Deep learning

(2015) Yann LeCun et al.   NATURE

Independent information from cerebrospinal fluid amyloid-β and florbetapir imaging in Alzheimer's disease

(2014) Niklas Mattsson et al.   BRAIN

Brain PET in Suspected Dementia: Patterns of Altered FDG Metabolism

(2014) Richard K. J. Brown et al.   RADIOGRAPHICS

Cerebral amyloid PET imaging in Alzheimer’s disease

(2013) Clifford R. Jack et al.   ACTA NEUROPATHOLOGICA

[18F]T807, a novel tau positron emission tomography imaging agent for Alzheimer's disease

(2013) Chun-Fang Xia et al.   Alzheimers & Dementia

Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers

(2013) Clifford R Jack et al.   LANCET NEUROLOGY

Amyloid-first and neurodegeneration-first profiles characterize incident amyloid PET positivity

(2013) C. R. Jack et al.   NEUROLOGY

Performance Characteristics of Amyloid PET with Florbetapir F 18 in Patients with Alzheimer's Disease and Cognitively Normal Subjects

(2012) A. D. Joshi et al.   JOURNAL OF NUCLEAR MEDICINE

Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-β plaques: a prospective cohort study

(2012) Christopher M Clark et al.   LANCET NEUROLOGY

Fibrillar amyloid-  burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease

(2009) E. M. Reiman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA