A whole-process interpretable and multi-modal deep reinforcement learning for diagnosis and analysis of Alzheimer’s disease ∗

A simple nomogram prediction model to identify relatively young patients with mild cognitive impairment who may progress to Alzheimer’s disease

(2021) Wenhong Chen et al.   JOURNAL OF CLINICAL NEUROSCIENCE

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

(2021) Guang Yang et al.   Information Fusion

Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

(2020) Shangran Qiu et al.   BRAIN

Disease-associated astrocytes in Alzheimer’s disease and aging

(2020) Naomi Habib et al.   NATURE NEUROSCIENCE

Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention

(2020) Guang Yang et al.   Future Generation Computer Systems-The International Journal of eScience

Greater effect of polygenic risk score for Alzheimer's disease among younger cases who are apolipoprotein E-ε4 carriers

(2020) Brian Fulton-Howard et al.   NEUROBIOLOGY OF AGING

Associations between tau, Aβ, and cortical thickness with cognition in Alzheimer disease

(2019) Rik Ossenkoppele et al.   NEUROLOGY

Sex Differences in the Association of Global Amyloid and Regional Tau Deposition Measured By Positron Emission Tomography in Clinically Normal Older Adults

(2019) Rachel F. Buckley et al.   JAMA Neurology

Deep learning for Electroencephalogram (EEG) classification tasks: A review

(2019) Alexander Craik et al.   Journal of Neural Engineering

ApoE4: an emerging therapeutic target for Alzheimer’s disease

(2019) Mirna Safieh et al.   BMC Medicine

Predicting diagnosis and cognition with 18F-AV-1451 tau PET and structural MRI in Alzheimer's disease

(2019) Niklas Mattsson et al.   Alzheimers & Dementia

In defense of the black box

(2019) Elizabeth A. Holm   SCIENCE

Deep learning-based electroencephalography analysis: a systematic review

(2019) Yannick Roy et al.   Journal of Neural Engineering

Quantitative Comparison of Conventional and t-SNE-guided Gating Analyses

(2019) Shadi Toghi Eshghi et al.   Frontiers in Immunology

Deep learning and medical diagnosis

(2019) Yuliang Liu et al.   LANCET

Understanding the impact of sex and gender in Alzheimer's disease: A call to action

(2018) Rebecca A. Nebel et al.   Alzheimers & Dementia

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

(2018) Guang Yang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

APOE and Alzheimer’s Disease: Evidence Mounts that Targeting APOE4 may Combat Alzheimer’s Pathogenesis

(2018) Md. Sahab Uddin et al.   MOLECULAR NEUROBIOLOGY

Inter-subject transfer learning with end-to-end deep convolutional neural network for EEG-based BCI

(2018) Fatemeh Fahimi et al.   Journal of Neural Engineering

Tissue-type mapping of gliomas

(2018) Felix Raschke et al.   NeuroImage-Clinical

Application of t-SNE to human genetic data

(2017) Wentian Li et al.   Journal of Bioinformatics and Computational Biology

Age, APOE and sex: Triad of risk of Alzheimer’s disease

(2016) Brandalyn C. Riedel et al.   JOURNAL OF STEROID BIOCHEMISTRY AND MOLECULAR BIOLOGY

Alzheimer's disease

(2016) Philip Scheltens et al.   LANCET

Can we open the black box of AI?

(2016) Davide Castelvecchi   NATURE

Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults

(2015) Paula T. Trzepacz et al.   BMC Geriatrics

Sex modifies theAPOE-related risk of developing Alzheimer disease

(2014) Andre Altmann et al.   ANNALS OF NEUROLOGY

ApoE and Aβ in Alzheimer’s Disease: Accidental Encounters or Partners?

(2014) Takahisa Kanekiyo et al.   NEURON

Clinical epidemiology of Alzheimer’s disease: assessing sex and gender differences

(2014) Michelle Mielke et al.   Clinical Epidemiology

An algorithmic approach to structural imaging in dementia

(2013) L. Harper et al.   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY

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

(2013) Clifford R Jack et al.   LANCET NEUROLOGY

Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study

(2013) Victor L Villemagne et al.   LANCET NEUROLOGY

Sleep and Alzheimer disease pathology—a bidirectional relationship

(2013) Yo-El S. Ju et al.   Nature Reviews Neurology

Accuracy of the Clinical Diagnosis of Alzheimer Disease at National Institute on Aging Alzheimer Disease Centers, 2005–2010

(2012) Thomas G. Beach et al.   JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY

Neuroimaging correlates of pathologically defined subtypes of Alzheimer's disease: a case-control study

(2012) Jennifer L Whitwell et al.   LANCET NEUROLOGY

Apolipoprotein E in Alzheimer's disease and other neurological disorders

(2011) Philip B Verghese et al.   LANCET NEUROLOGY

Addressing population aging and Alzheimer's disease through the Australian Imaging Biomarkers and Lifestyle study: Collaboration with the Alzheimer's Disease Neuroimaging Initiative

(2010) Kathryn A. Ellis et al.   Alzheimers & Dementia

The clinical use of structural MRI in Alzheimer disease

(2010) Giovanni B. Frisoni et al.   Nature Reviews Neurology

Age, Alzheimer disease, and brain structure

(2009) C. A. Raji et al.   NEUROLOGY

Alzheimer's Disease Neuroimaging Initiative (ADNI): Clinical characterization

(2009) R. C. Petersen et al.   NEUROLOGY